[Note to reader:  This paper appeared as Policy Analysis, no. 249, February 7, 1996 from the Cato Institute.  The present text is close to the published version, but the Executive Summary of the Cato version has been omitted.]

 

How to Induce Motorists to Pollute Less:
Remote Sensing and the Policing of Outputs

by

Daniel B. Klein
dklein@scu.edu

 

I. Introduction

Automobile emissions-control policy is now in an exciting period of re-examination and reform. New learning has advanced understanding of the problem, and new technologies have expanded the set of solutions to consider.

It is now understood that ten percent of the vehicles generate over 50 percent of the on-road carbon monoxide (CO). The same is true of hydrocarbon (HC) emissions. These are gross polluters. As shown in Figures 1 and 2, in each case the cleanest 80 percent of cars -- the low and marginal emitters -- taken together generate less than 12 percent of the pollution.


Figure 1. Carbon Monoxide Emissions

Source: Douglas R. Lawson, "Passing the Test--Human Behavior and California's Smog-Check Program," Journal of Air & Waste Management Association 43 (December 1993)
Note: The 3,755 vehicles were ranked from cleanest to dirtiest on the basis percentage of CO emissions on the low-idle test, then divided into 10 equal groups or deciles.  The contribution of each decile to total CO emissions for the entire sample is indicated by the height of the bar.

 

Figure 2. Hydrocarbon Emissions

Source: Douglas R. Lawson, "Passing the Test--Human Behavior and California's Smog-Check Program," Journal of Air & Waste Management Association 43 (December 1993)
Note: The 3,755 vehicles were ranked from cleanest to dirtiest on the basis percentage of HC emissions on the low-idle test, then divided into 10 equal groups or deciles.  The contribution of each decile to total HC emissions for the entire sample is indicated by the height of the bar.

Furthermore, studies suggest that repairs significantly reduce emissions only for cars with high emissions. Repairs made to cars only marginally over their emissions standards do little to reduce emissions, and even often increase emissions.(1) Because of the extreme skewedness of emissions, and because most emissions reductions will come from the gross polluters, the chief task of a cost-effective program must be to focus on gross polluters.

A new device called the remote sensor appears to be capable of doing just that. An infrared beam is shined across the road. As a car passes along the road, the beam travels through the exhaust plume and is distorted by the gases. The sensor receiving the distorted beam can infer the pollutant concentrations in the exhaust. The device is very inexpensive and mobile and can be set up on many streets and highway ramps. If government can use this device to identify the minority of gross polluters, it can clean the air at low cost to the public.

Regulators are showing interest in remote sensing, but they have not yet recognized the full potential of this new technology. Much of the policy debate over Inspection & Maintenance ("Smog Check" in California) has continued in the old ruts of old programs.

For ten years the Smog Check program in California has required cars and light trucks to pass inspection every two years. Inspections are performed at approximately 9,000 private garages licensed by the state. This system has been unsuccessful. Some motorists get their gross polluting cars through Smog Check by tampering or bribing the private inspectors. Some station mechanics also tinker with some cars so they can pass the test without fixing serious problems. Some gross polluters remain unregistered, thereby avoiding Smog Check altogether.(2) Furthermore, the program is more costly than it needs to be, as it requires all motorists, even the majority with clean cars, to incur the costs of obtaining a smog certificate.

Smog Check is unsuccessful because vehicle owners can anticipate inspections, and because they must past inspection only one day every two years. On the other 729 days of the biennium the motorist can drive a dirty car.

The U. S. Environmental Protection Agency agrees that programs like California's are less effective than they should be, but it has identified the problems differently. The EPA says that the program falls short because the private garages engage in both inspection and repair of vehicles. This, it believes, creates a conflict of interest for Smog Check stations and tempts them into corruption and malfeasance. The EPA has called for the separation of inspection and repair. In its proposed "centralized" program, cars would report every two years to one of a small number of central, contractor-run facilities for inspection, and if necessary would go to private garages for repairs. This proposed program design, in contrast to California's "decentralized" program, would probably reduce corruption and fraud, although the new facilities might operate in haste if they are rewarded for throughput. Also, the EPA has called for the utilization of more expensive testing equipment, called dynamometers, which are treadmill devices that run cars through a pattern of simulated stop and go driving. Although the EPA's centralized program has some advantages, its opponents have been effective in pointing out its serious flaws. The EPA proposal still allows motorists to anticipate the test, and hence some motorists might still tamper with their vehicles for the test, although doing so is more difficult for the EPA program than for the current program. Also, mechanics could make only superficial adjustments sufficient to pass the test, but not adequate to fixing underlying problems. More fundamentally, the program is extremely expensive in that all or most motorists would be required to report for inspection, now at less convenient facilities.

During 1993 California resisted EPA's demands, partly because its officials doubted that a centralized program would be much of an improvement over the current program, and partly because it recognized that with remote sensing on the horizon it would be rash to sink large new investments in anticipated inspection. The conflict between California and the EPA was resolved, if only temporarily, by a Memorandum of Agreement in March 1994. The Agreement includes a pilot project that compares different types of test-only equipment, a pilot remote-sensing study for Sacramento County, and calls for setting up centralized facilities with the capacity to test 15 percent of vehicles in nonattainment areas. As for the 9,000 Smog Check stations, except for possible equipment changes and new training, they will carry on as before.

The Agreement is only a temporary accommodation. The EPA may continue to favor centralized inspection, and has been promoting other command-and-control policies on California, like mandatory carpooling in the mold of Los Angeles' Regulation XV. In these days of ideological change, however, the EPA seems to be reconsidering its command-and-control agenda. However the politics works out, the advent of remote sensing may well represent a quantum leap in auto-emissions control. Its potential ought to be fully explored before any additional programs are brought on line.

This paper has two goals. The first is to explore the potential of remote sensing and to explain why, if it is really as good as it appears, it should lead us to overhaul auto-emissions policy. We are careful to elucidate fundamental economic principles and to show how they apply to our arguments. We lay out a detailed remote-sensing program for the greater Los Angeles region, and provide a range of cost estimates. The program would not satisfy current E.P.A. constraints for program type, but that is not our chief purpose. The proposal is a sort of ideal; it is a description of the most desirable program if remote sensing turns out to be a fully viable technology. We feel that this exercise of "looking ahead" is appropriate for the following two reasons: (1) Policymakers need a vision of where their efforts ought to be headed. Public discussion too often focuses on the near-term demands placed on policy-makers. We need to discern the forest from the trees. (2) Remote sensing has, at least to a good extent, already proven itself a viable technology.

Our second goal is to provide a near-term transition proposal. The near-term proposal, like most of our discussion, focuses on California and its need to reform the Inspection & Maintenance program. The discussion of the near-term proposal piggy-backs on the fuller discussion of the long-term proposal.

Much of our thinking is really just the informed application of fundamental economic principles. So let us begin with the founder of economics, Adam Smith.

II. Adam Smith Visits Los Angeles

Were the ghost of Adam Smith to come to modern-day Los Angeles, he would no doubt agree that the air is very bad and that government policy must control auto emissions. Furthermore, he would have some advice on how to do it.

Smith had explained in The Wealth of Nations that, as consumers seek various outputs in the marketplace, market processes arrange themselves to deliver those outputs. Provided that performance at the output stage can be effectively rewarded in the marketplace, such incentives will induce entrepreneurs to coordinate their activities, as though "led by an invisible hand," to promote an ultimate end "that was no part of their intentions." In the market we seek various outputs at the lowest prices, and we let entrepreneurs, interacting in spontaneous fashion, worry about the inputs.

When we go into a restaurant, for example, and order a crock of French onion soup, we specify only the desired output. We do not tell the chef how to slice the onions, grind the pepper or grate the cheese. We do not tell the restaurant manager where to get the ingredients, how to store them, or how to train the employees. Customers merely specify the outputs, and, as Adam Smith explained, entrepreneurs in the market attend to the inputs. Successful entrepreneurs are expert in the local opportunities for effectively combining inputs, and they compete for customers by seeking to produce the outputs that customers desire.

When it comes to air quality, however, Smith would readily recognize that reducing vehicle emissions is one of those desirable output goals that, as he put it, "the profit could never repay the expense to any individual [who should privately seek to achieve the goal]."(3) Instead, the government, in its role of steward of the commons, must attend to the problem. But Smith's logic of incentives still applies: if technology permits, the government ought to address the problem by treating outputs directly, not by treating inputs.

Smith's market-based reasoning stands in sharp contrast command-and-control policies. These aim to achieve output goals by specifying inputs. Command-and-control advocates seem not to believe that, once outputs are specified, the market will respond to those incentives and arrange inputs appropriately. Adam Smith sought to enlighten the command-and-control advocates of his day. He said that every individual can, "in his local situation, judge much better than any statesman" in determining what inputs are most appropriate to producing his desired output. Smith notes the pitfall of command-and-control: "The statesman, who should attempt to direct private people ..., would ... load himself with a most unnecessary attention."(4)

Does Adam Smith's reasoning speak to the problem of vehicle emissions? Smith's market-based approach of treating outputs rather than inputs, presupposes, of course, that there is a practical way of monitoring and policing performance at the output stage. Fortunately, there is a way of treating emissions directly, namely, the technology of remote sensing. Smith would favor a system that penalized motorists directly for excessive emissions, and that otherwise left motorists and entrepreneurs free to arrange the inputs, appropriate to their "local situations," to prevent the receiving of penalties.

Just as one man's ceiling is another man's floor, a good or service might be an output in one context and an input in another. To clarify our meaning, a conceptual diagram for the Smog Check program is drawn in Figure 3. The state's output goal is fleet-emissions reduction. One of the processes it has pursued to serve this goal is the Smog Check program. The program calls all motorists to inspection; passing-the-test is, from the state's point of view, part of its production process. But from the motorist's point of view, the program creates the following output goal: passing the test. One way motorists or their mechanics serve this goal is to keep their cars running clean. But another way is to tamper with the car, to obtain temporary emission reductions, or to obtain a smog certificate illegitimately. Because these and other problems are common, we see that the connection between the state's goal and the motorist's goal is weak and distant. The state is mandating an input process that doesn't deliver. Furthermore, it is comparatively expensive.

Figure 3. Input-Output Diagram for Smog-Check Program

By contrast, a remote-sensing program would better connect state and motorist goals (see Figure 4). The state pursues its output goal by specifying a program, namely on-road remote sensors and a system of sending citations to gross polluters. For motorists, this program generates the following output goal: avoiding smog citations. We say that this program is output-oriented because, as will be argued later, the connection between the state's goal and the motorist's goal is strong and close. This program is very similar to the consumer who simply asks for a good bowl of soup and leaves the rest to the entrepreneurs. Furthermore, this program is comparatively inexpensive.

Figure 4. Input-Output Diagram a Remote-Sensing Program

Now consider the following thought experiment: Suppose that the Heavens performed a miracle, delivering to us a new technology that could perfectly and costlessly measure the actual total annual emissions that came from each individual car. With this gift from Heaven, it would then make sense for the government to use it and to charge for emissions. We would charge motorists for their depletion of clean air, just as we charge homeowners for their depletion of tap water or electric power. This heavenly arrangement for emissions would be the perfect output-oriented program, and its establishment would recommend the abolition of all other forms of auto-emission control. In reality, the Heavens have not interceded on our behalf. We do not have a miraculously perfect and costless technology. We argue in this paper, however, that remote sensing is a major step toward cost-effective emission control, and that it is time to think about how its effective deployment might render other auto-emission control programs obsolete.

III. A Market-Based Perspective: Treating Outputs Rather Than Inputs

Smog Check is an input-oriented strategy. Passing Smog Check is not directly connected to the desired output -- namely, reduced auto emissions -- but is rather an input in a process that, one would hope, produces the desired output. Let's explore Smith's philosophy further by explaining why it is wiser for the government to treat auto-emission outputs, using pervasive and unanticipated remote-sensing surveillance, rather then inputs, such as anticipated smog-check inspections. There are five fundamental points, and each is illustrated by actual experience from smog-check programs.

  1. Strategies that specify inputs tend to be unrefined to individuated conditions, they tend toward a one-size-fits-all policy. Yet the technique for transforming inputs into outputs is not singular, but plural. Every motorist has his own distinct opportunities for getting his car to run clean. And, in the absence of input regimentation by government, the entrepreneurship of the market would discover better ways to keep cars clean. Required inspection by a certified station lays down a blanket procedure for getting cars clean, a procedure that forsakes special opportunities and diverse conditions, and chokes off entrepreneurial creativity.

Smog-check experience: The smog-check program forces most motorists to participate in a biennial practice that they may not need. About 70 percent of motorists have clean-running cars for all relevant pollutants, but most of them must participate in an input ritual (Smog Check) that is potentially appropriate only for the other 30 percent of cars.(5) And for motorists within that dirty 30 percent, they might be able to make their cars clean by obtaining proper and legitimate service from unlicensed stations or unlicensed inspectors. In the absence of input mandates, entrepreneurs would come up with better and less expensive ways of serving motorists' desires to avoid smog penalties.

  1. A government program that specifies inputs runs the risk of specifying the wrong inputs. Government proceeds by the blunt forces of democratic and bureaucratic politics. Rather than relying on competitive market selection of inputs, government adopts an input strategies that may well be ineffective in producing the desired outputs.

Smog-check experience: California's Smog Check program has not lived up to its original promises. Independent researchers have given powerful evidence that I/M programs in general, whether centralized or decentralized, hardly have any smog-reduction benefits at all.(6) Anticipated inspection at certified stations, it turns out, is a wrong input for producing cleaner emissions from the fleet.

  1. Government input-strategies display very little ability to adapt to changing conditions. Unlike the free-enterprise market, which is driven to discover new combinations of inputs to produce the outputs that consumers desire, government procedures become locked-in and very difficult to restructure or dismantle.

Smog-check experience: Smog-check programs have become part of "the establishment." Because smog-check belongs to the status quo, it has become a focal point for discussion and planning. And as the status quo, it has created concentrated and well-organized interest groups that stand behind it, including both private Smog Check mechanics and entrepreneurs hoping to get the contracts for new inspection facilities.

  1. A program that specifies inputs inevitably entails large administrative and bureaucratic costs for managing the program and policing compliance. If these efforts are inadequate, corruption, fraud, and malfeasance may become widespread.

Smog-check experience: It is well-known that corruption and fraud are common in decentralized programs;(7) even centralized programs must attend to the diligence, competence, and honesty of the inspectors. Smog-check programs must attend to the training of licensed inspectors, the integrity of inspection equipment, the enforcement of honest inspection service, and evaluation of the program procedures. Corruption, fraud, and policing costs inevitably grow larger as government requirements reach deeper into the input stages of the production process.

  1. The more that programs are connected only indirectly to public-interest goals, the more likely it is that they will be hijacked and led astray. Influential special interests, including regulators, are tempted to favor their own convenience in deciding which inputs should be adopted to produce the public-interest outputs. When policies treat outputs directly, it is much more difficult for interest-group tendencies to cloud and usurp the issue.

Smog-check experience: Debates rage over whether anticipated inspection can be a worthwhile input for producing cleaner emissions from the fleet. For example: Should anticipated inspection use dynamometers or less expensive equipment? If dynamometers, should they simulate loads over a continuous range or only at discrete loads? Should they report an emissions trace over the entire test or should they report only peaks and averages? And so on. Every interest group takes its place in the political process, and in doing so often obscures the fundamental issues. These politicized debates could be largely avoided if we had a strategy that dealt directly with outputs and was silent about inputs. The public-interest would then be better recognized and better served.

IV. Remote Sensing as a Feasible Technology for Treating Outputs

Accuracy of Remote Sensing

Any kind of test system makes two types of errors. A false failure occurs when the system identifies a clean car as dirty. False failures cause motorists to incur costs unnecessarily. A false pass occurs when the system identifies a dirty car as clean; false passes are undesirable because high-emitting cars are not cleaned up.

It is well-established that remote sensing takes a reasonably accurate snapshot of the CO and HC emissions from a car's tailpipe.(8) The snapshot is perhaps a little blurry, if you will, but it tells us whether we gaze at an antelope or a vulture. What is still debated is whether snapshots provide sufficient evidence, as opposed to a dynamometer's motion-picture footage of the car's exhaust over a few minutes. We argue that remote-sensing snapshots are in fact quite adequate. Motion-picture footage is, after all, just a series of snapshots.

A problem with emission snapshots is that they might capture the car's emissions performance at an uncharacteristic moment. A simple case is the cold start: during the first few minutes it takes to warm up, every car produces high emissions. Vehicle emissions also vary with speed, grade, load, and acceleration. If there were no way to control for these factors, the usefulness of remote sensing would indeed be doubtful.

But remote-sensing technicians can counteract these factors. Officials can select sites removed from residences and parking areas, to eliminate the cold-start problem, and find road features or use orange cones to put narrow bounds on the grade, speed, and acceleration variables. Remote sensing is most accurate when it reads cars under light acceleration, so a mild incline would be a benefit. If site selection is not enough to eradicate variation in driving modes, we can measure speed and acceleration using radar, and we can detect the cold start using infrared cameras.

In one remote-sensing study, cars that had been read by a remote sensor were pulled over and given a regular smog check on the spot. Of cars that had exceptionally high CO readings (above 4 percent), 91 percent failed the smog test.(9) Other studies have replicated this high correlation,(10) and further developments would surely make the match even closer. Snapshots and motion-picture footage get the same story.

Errors Must Be Construed on a System-wide Basis

A report on California's smog check program (Sommerville, p. 129) presents information on how likely it is that a remote sensor will wrongly identify whether a car is clean or dirty. Let's say the sensor identifies a car as dirty if it reads the CO emissions as exceeding 4 percent of adjusted emissions. For a car in the set of clean vehicles, with "clean" defined in the study, there is, on average, less than a one percent chance -- 0.64 percent, to be exact -- that it will exceed this 4 percent "cutpoint" at a single reading. For a car in the set of dirty vehicles, there is, on average, a 66 percent chance that it will not exceed the cutpoint at a single reading. If we have to go on merely a single snapshot, it seems that we have to accept a lot of false passes. Alternatively, we could reduce the false passes by lowering the cutpoint, but doing so would then increase the false failures.

Fortunately, we do not face such a harsh trade-off. Instead of thinking of the errors in a remote-sensing program on the basis of a single snapshot, we should construe errors on a system-wide basis of multiple snapshots. Remote sensing is a remarkably inexpensive test -- figure a conservative estimate of 75 cents per test -- so we can multiply the remote sensors on the roads and use a pass/fail criterion based on a pattern of readings.

Consider, for example, a remote-sensing program for greater Los Angeles such that over a biennium the average number of readings for the entire fleet were eight. (Here we use summary figures for a scheme that is fully developed later.) Cars that traveled more than average would be read more than eight times, and cars that traveled less would be read less than eight times. Now suppose that we use a standard that fails a car if it exceeds the 4 percent CO cutpoint at least once over the entire biennium. A clean car, tested eight times, stands (on average(11)) a 95 percent chance of never exceeding the cutpoint. That's a 95 percent chance of remaining undisturbed, which, unless it be a new car, is 95 percent better than its prospects under the current program! A dirty car, read eight times, stands (on average(12)) a mere 3.5 percent chance of not exceeding the cutpoint and getting away with a false pass over the course of the biennium. On a system-wide basis, the program commits few false failures and few false passes!

Remote sensing is a little less accurate at reading HC emissions than it is at reading CO emissions, but again the issue in not one of pin-point accuracy. As researchers at Resources for the Future have put it: "The remote sensing [single-]test identification rate is not a critical determinant of the effectiveness of remote sensing -- it is important only that super polluting vehicles can be identified by the test."(13) By increasing the cutpoint we can reduce the number of false failures, and by increasing the number of tests per year we can reduce the number of false passes.

Moreover, the margin of error can be further reduced. The straight cutpoint criterion just presented is in fact very crude. The system would accumulate a wealth of information, and more powerful and more precise criteria could be developed. Consider the case of a salesman who travels all over Los Angeles in his clean car. He travels so much that his chance of exceeding the 4 percent CO mark during the biennium is greater than the 5 percent implied above. But for this motorist the system will have registered numerous clean readings, and on that basis can pardon a single dirty reading. A criterion might say, for example, that three clean readings cancel a single dirty reading. Or it can forgive first offenses, or evaluate on the basis of running averages rather than cutpoint levels. It can blend the readings for the different pollutants into a composite variable. It can scan for engine behavior that alternates between running clean and running dirty (sometimes called "flipper" behavior). It can adjust for the measured speed and acceleration of the vehicle at the moment of emissions readings. It can take into account the age or model of the vehicle. And so on.

The Outputs that Remote Sensing Does Not Measure

Thus, policymakers can follow Adam Smith's advice of policing CO and HC at the output stage. But are CO and HC the only outputs that matter? Are there other emissions that in fact we cannot treat with remote sensing at the output stage, and hence need to treat with smog-check inspections?

Nitrogen Oxides (NOx)

In fact, CO and HC are not the only outputs we care about. Cars emit many other compounds, some of which are regulated and most of which are unregulated. Another important regulated pollutant is nitrogen oxides (NOx). Two manufacturers of remote sensing (Remote Sensing Technologies Inc. and The Hughes Santa Barbara Research Center) have developed sensors capable of reading NOx emissions. The accuracy is not as good as that for CO or even HC, but it is certainly good enough to detect high emissions of NOx. Higher emitters of NOx emit more than 3000 ppm, and low emitters emit less than 1000 ppm. Each of the two manufactureres reports that its NOx readings, at least in prototype, are accurate with a standard deviation of 500 ppm. Hence the sensor is should be capable of separating high and low emitters.(14) Both Remote Sensing Technologies and Hughes now market remote sensors that measure all three pollutants, and they say accuracy will improve with further development.

A more fundamental question about NOx is whether being able to measure NOx really adds much value to what we can accomplish with the ability to measure CO and HC. The answer appears to be, "yes." The automotive malfunctions that generate excessive NOx emissions sometimes also produce excessive CO and HC emissions. Hence, to some extent cracking down on the CO and HC culprits also means cracking down on the high NOx polluters. For example, in a study conducted in Michigan in 1992, 37 vehicles with high on-road emissions of CO and HC were identified by remote sensors and were recruited for repairs.(15) After repairs were made, the CO emissions declined by 95 percent, the HC emissions declined by 92 percent, and the Nox emissions declined by 56 percent. These results, although from a small sample, give some encouragement. But we do know that most of the worst NOx-emitting cars do not have high CO or HC readings. For that reason, we should plan on utilizing remote sensing to read NOx emissions, as well as CO and HC.

Evaporative Emissions

Another source of noxious outputs is evaporative HC emissions. These occur, for example, when gasoline mixes with air in a carburator, when the fuel line has a leak, or, most simply, when the gas cap is missing. There is considerable debate over the magnitude of these types of emissions. Sommerville (1993, p. 97) claims that evaporative emissions account for over a third of the fleet's HC emissions, and the E.P.A. has suggested the evaporative portion to be as high as one half.(16) These claims are based on laboratory tests of only a few vehicles and faulty estimates of the emissions inventory.(17) More recently, scientists at the Desert Research Institute have studied the air in highway tunnels; subtracting out the measured HC emissions coming from car tailpipes, they find that evaporative emissions account for less than 20 percent of HC emissions.(18) The tunnel studies do not consider, however, evaporative emissions that occur while a car sits parked with the engine turned off.

Evaporative emissions of the fleet are declining steadily as new engine technology has replaced older technology, particularly the replacement of carburators by fuel-injection systems. Evaporative emissions will decline further if fuel-tank vapor recovery systems come into use. It is conjectured that a significant portion of evaporative emissions results from missing gas caps. A simple strategy for addressing the problem would be to broadcast television messages to inform viewers that not having a gas cap costs them gasoline, fouls the air, and creates dangerous slick spots when gasoline spills onto the road.

Remote sensing does not read evaporative emissions, but it might help somewhat in reducing evaporative emissions nonetheless because these emissions are correlated with tampering and inadequate maintenance, and these in turn are correlated with high emissions of CO, HC and NOx. Motorists who are induced to reduce their tailpipe emissions will make repairs that, in some cases, also act to reduce non-tailpipe emissions. Also, if cars flagged by remote sensing are required to report for follow-up inspection, then these follow-up procedures might include a visual inspection for sources of excessive evaporative emissions.

A final reason that the problem of evaporative emissions does not argue against a pure remote-sensing program is that, if the problem is a chink in the armor of remote sensing, it is indeed a chink in the armor of any inspection system. Although the IM-240 protocol includes tests for evaporative emissions, these tests are time-consuming and of questionable effectiveness. There is even concern that in performing the tests (known as the "pressure" and "purge" tests), technicians compromise the functioning of the emissions control system and consequently cause evaporative emissions to increase.

Remote sensing, then, is not able to measure the full range of emission outputs that concern us, but its CO and HC capabilities cover most of the problem, and if NOx capability is added, even more. The other outputs not treated by remote sensing are relatively minor, or are not treated in a cost-effective manner by any other inspection program.

Will Scofflaws Learn to Foil Remote Sensing?

One of the chief reasons to favor an output-oriented policy is that, in leaving inputs unregulated, entrepreneurship is unleashed to the task of finding creative ways of producing what customers desire. There is one hazard, however. Strictly speaking, the output that a remote-sensing program sets for motorists is avoiding-smog-citations. It is possible that the process of entrepreneurial discovery will respond, not by cleaning up cars, but by foiling the system. Smog Check itself is an object lesson of this hazard. A pure remote-sensing program will yield emission reductions only if human cunning cannot find convenient ways of foiling its efforts. Although the only way to find out really if motorists can foil remote sensing is by experience, we can try to anticipate. We can see five basic approaches to foiling remote sensing. In discussing each case we will describe how the program can respond to the scofflaws. Before doing so, it is necessary that we briefly introduce an essential component of a sound remote-sensing program.

The remote-sensing program should deploy a small number of on-road pull-over teams. If a car exhibits a suspicious feature, the computer will blow a whistle or illuminate a light, and the car can be stopped on the spot. This on-road accost would not occur for mere gross polluters, but only for those also suspected of subterfuge or rank noncompliance.

The five methods of foiling remote sensing are as follows:

  1. Obstructing the license plate, such as by splattering it with mud or putting a trailer hitch in front of it. This is a problem that could be easily policed by on-road pull-over. When the computer receives information that a car has an illegible plate and high emissions, it will blow a whistle in real time and the car is pulled over. Even without on-road forces, the problem could be combatted with elementary detective work using the video images of gross-polluting cars that have illegible license plates.
  2. Keeping the car unregistered so the program is not able to identify the car and notify the motorist. This is a problem that is encountered by inspection programs of every kind. Again, the computer could be programed to blow a whistle and the on-road forces could easily be used to nab unregistered vehicles. For various reasons, however, we may wish to restrict apprehension of unregistered vehicles to those that are also high emitters.
  3. Evading remote-sensing sites. This will be difficult for motorists because remote-sensing sites change by the day and are numerous and unnanounced. One could imagine motorists with CB radios alerting their fellows, but it is hard to imagine that this evasive action would be consistently effective. Some have suggested that radio stations might alert motorists to remote-sensing sites in their traffic reports, but we find it hard to believe that professional radio stations would engage in such open subversion. Most radio listeners, after all, are law-abiding citizens who oppose gross polluting. We could infer the extent of evasion by comparing the rate of high emissions at normal remote sensing sites with the rates at special stealth sites where motorists cannot tell that their car's emissions are being read. Also, we could gauge the problem of daily radio tip-off by comparing rates of high emissions during the first hour of operation at a site with the rate during later hours. If we found evidence of significant evasion we could step up numerous tactics to mitigate evasion.
  4. Doing things to eliminate the exhaust plume as observed by the remote sensor, such as altering the tailpipe or turning off the car as it passed by a remote sensor. These tactics are expensive or inconvenient. Again, the computer could flag these cars for pull-over.
  5. Tampering to alter the contents of the exhaust plume. This would require an additional gas source, to be mixed with the true exhaust, or perhaps an additive to the gasoline. More specifically, motorists might be able to foil remote sensing if they can make their car emit excessive carbon dioxide emissions, because remote sensing measures CO, HC, and NOx each as a ratio to carbon dioxide emissions. Increasing the carbon dioxide content would therefore disguise gross emissions of the regulated pollutants. This kind of tampering represents the only serious threat to th remote sensing program proposed in this paper. Whether it is a potent threat is unknown, but even if it is, program officials would employ their ingenuity in response, perhaps by devising a sensor for reading the absolute magnitude of carbon dioxide.

It appears that scofflaw tactics (1) through (4) pose no real threat to a program suited with on-road pull-over power. This power, even if exercised only seldom, would place a bitter check on subterfuge and would go a long way in controlling the problem of unregistered high-emitting vehicles. The accumulated record of license-plate snapshots that are taken concurrently with remote-sensing measurements would supply incontrovertible evidence in prosecution. Whether tactic (5) poses a serious threat is a question that deserves further investigation.

V. Recommended Features of a Remote Sensing Program

We discuss in turn the following six components of a good remote-sensing program:

  1. On-Road Remote-Sensing Units
  2. No Periodic Inspection
  3. Citation By Mail
  4. Enforcement by DMV and On-Road Pull-Overs
  5. Early Driver Notification
  6. Repair Subsidies to the Poor

On-Road Remote Sensing Units

The program should have numerous remote sensing teams which deploy themselves at random. They should not announce their siting plans, and should pick sites to minimize evasion, congestion, and problems with getting valid readings. Legislation should attempt to simplify and ease the process for obtaining site permits from state, county, and municipal authorities.

No Periodic Inspection

The program would deploy mobile remote sensing units in adequate number to read cars an average of four to eight times over the biennium. A basic question on everyone's mind is, Should remote sensing merely supplement universal periodic inspection, or should it replace periodic inspection?

Earlier we likened remote-sensing readings to snapshots and smog-check inspections to motion-picture footage. We have shown that, from a practical standpoint, each approach gets the same picture. There are however two major differences between them. First, the cost of decentralized smog-check inspection is about 60 times the cost of a single remote-sensing inspection.(19) If we say that on average cars should receive eight snapshot readings over the biennium, then smock-check inspection is still seven times as expensive as a biennium's worth of remote sensing testing. Centralized inspections would probably be even more costly than decentralized inspections.(20)

Second, Smog-Check's motion-picture footage captures behavior that is like a performance played out on a stage. Motorists can tamper for the Smog Check inspection. Some motorists today are like a crooked bank teller who sneaks into the bank vault and pinches some cash. When interrogated the next day the teller simply plays innocent. In the case of remote sensing, the snapshots captures behavior that is unvarnished and true to life. Violators are caught in the act.

Defenders of periodic inspection say that motorist deception will be combatted by remote sensing, which, as a program supplement, will discourage tampering between periodic inspections. That conclusion follows, but then we must ask: What does periodic inspection add to the surveillance achieved by remote sensing? If the bank had a video recording of the bank teller's actions, and could easily scan it to determine whether he had snuck into the vault, there would then be no point in also interrogating him about his actions. With remote sensors supplying frequent and unanticipated inspection, periodic inspection becomes an expensive redundancy. It is the pony-express service that accompanies electronic mail.

Citation By Mail

The program would issue citations by mail to motorists with high-emitting vehicles. We will discuss later whether these citations would impose a monetary fine or would summon motorists to follow-up inspection. For now, assume that the citation calls for some kind of redeeming action to be made within a time period, such as 21 days. Here we discuss some of the issues involved with citation by mail.

One concern is that some citations will not be properly received. Sommerville (p. 124) reports that about seven percent of vehicles in California are unregistered -- a problem for any inspection program. But for a large portion of these vehicles the registration has merely lapsed a few months, so a citation would be properly received. As for motorists who change residence and experience problems in receiving their mail, a smog program should treat the problem no differently than a credit card company does. People are held responsible for seeing that they notify others of their change of address and that their mail is properly forwarded.

Another issue is popular and political acceptability. Sometimes the idea of smog citation by mail is likened to photo-radar speeding citation by mail (a practice that has been used in Pasadena and Folsom, California, and Pleasant Valley, Arizona). But comparing smog to speeding is problematic. Current speed limits are not analogous to "smog limits." Virtually all motorists exceed speed limits on a regular basis, whereas only a small minority would exceed smog limits. Many Americans feel that speed limits are too low and that enforcement is rather arbitrary. When traveling on a major highway, in fact, traveling at 70 m.p.h. may be safer than traveling at 55 m.p.h., because speed variance is one cause of accidents.(21) In contrast, owners receiving a smog citation would be guilty of a real and certain harm to society. As for the problem of "vicarious responsibility" -- that is, the driver not being the owner -- the problem is very minor in the case of smog: emissions do not depend on who is behind the wheel, unless the driver has very peculiar driving habits.(22) One difference that makes smog citation less acceptable than speeding tickets is that motorists have a speedometer to tell them how fast they are going, but they do not have a "smogometer." High emitters might feel that it is unfair to penalize them for their ignorance. This problem, however, can be mitigated by public-access remote-sensing facilities, warning notices, and low initial fines. Furthermore, the actually-enforced emission limits would be much higher than the legally enforceable emission limits -- proportionally much higher than is the case for speeding enforcement -- so actually-cited motorists would be on very shaky ground in claiming that their car was within the legally enforceable limits.

A recent article argues that photo-radar programs are on firm ground both constitutionally and evidentiarily.(23) As for public opinion, researchers have surveyed citizens on their attitudes toward photo-radar citations for highway travel and found that 60 percent approved while 35 percent disapproved.(24) If researchers find this much juridical and popular support for photo-radar, they are likely to find more support for remote-sensing smog citation.

Whatever the extent of public objection to remote sensing and citation by mail, the objection would mainly be based on a claim to privacy. Here the public must be made to recognize that remote sensing is a sort of social control mechanism, a mechanism to police good behavior, and that every type of social control mechanism -- whether it be the criminal justice system, the media, credit reporting, or gossip -- necessarily collides with privacy in at least a small way. That remote sensing represents a serious invasion of privacy is doubtful. The roads are public property and the government is the steward of the airshed. Checking discreetly whether individuals are abusing their access to these resources is not an "unreasonable search" or an intrusive act. One's exhaust emissions are hardly a matter of personal intimacy, and it is unlikely that the mere act of monitoring emissions would give motorists a sense of being invaded. As for preserving individual privacy within the household, smog citations would not specify the exact time and place of readings. They should, for example, specify the week during which the reading was made, and say nothing of the location. The exact information, including video images, could be made available upon request and used for dispute resolution.

Enforcement: DMV Records and On-Road Pull-Overs

What will induce motorists to comply with smog citations? There are two means of inducing compliance. First, under current state law the Department of Motor Vehicles can impose fines, deny vehicle registration, and impound vehicles that do not obtain the required smog certification.(25) In a remote sensing program, driver's licenses, vehicle titles, and registration could be frozen until fines are paid.

Second, by virtue of automatic license-plate readers, on-road units can easily identify and pull over rank noncompliers and impound their vehicles. Remote sensing is a means both of identifying gross polluters and of apprehending them. Current law in California requires the Bureau of Automotive Repair and the Air Resources Board to institute an on-road enforcement program which may include remote sensing.(26) A record of remote-sensing violations and noncompliance would certainly supply probable cause. Other states as well have laws that allow authorities to pull over "smoking" vehicles; the remote sensor is essentially a means of identifying "smoking vehicles," although the smoke may be invisible.

We envision the pull-over forces as merely the final enforcer. We do not envision them accosting the mere high emitter, the mere unregistered vehicle, the mere license-plate obscurer, etc. They would pull over only the high emitters who are also unregistered, have illegible license plates, have not complied with previous citations, etc. Thus, only the hard-core minority of problem will be subjected to on-road pull-over.

If we assume 25 pull-over teams, each working 260 days per year, seven hours per day, making three pull-overs per hour, all together they make 136,500 pull-overs per year, or 1.6 percent of the vehicle population. These would be the recalcitrant 1.6 percent who defy the law. Anyone who refused to comply with the program would face a large risk of pull-over.

The pull-over arm of a remote sensing program should be separate from existing police forces. The program ought to create its own "smog squad" that enforces only emissions violations, just as parking patrols enforce only parking violations. If smog pull-over activities have to depend on conventional police resources, control over enforcement becomes spread over multiple agencies and coordination becomes difficult. It may be difficult and undesirable to divert the conventional police from their other duties. Smog enforcers would better perform their duties if they are specially trained and specialize in their activities.

Early Driver Notification

An important feature of a good remote-sensing program is driver notification for motorists whose cars are within smog limits but are approaching the limits or showing deterioration. The state would invest in a post-card to notify the motorist that he may wish to service his car. The notification card would cite three good reasons for doing so: (a) helping to clean the air; (b) improving his gas mileage; and (c) reducing the likelihood of his being subject to future penalties. Early driver notification would be a positive service to the motorist, as well as a sort of warning. It would prompt some people to reduce their emissions preemptively, before being compelled to do so.

Evidence of the power of early notification comes from a remote-sensing demonstration project conducted in Provo, Utah.(27) Over the course of several weeks, researchers monitored emissions at highway off-ramps. One group of gross-polluting motorists were sent a friendly notice telling them that their car was dirty and that they could take advantage of free repairs to get them cleaned up. Some of them took up the repair offer, but the motorists relevant to our point here were those in the notified group who chose not to take up the repair offer. These motorists nonetheless showed subsequent emissions reductions of 28 percent. Merely being alerted to the fact that one's car is gross polluting can prompt one to clean it up. Part of this 28 percent reduction should be attributed to the natural tendency for motorists to clean up their dirty cars, but only part. A second group of gross pulluters acted as a control group, in that they were not sent any notices or invitations to repairs. High-emitters in this group showed the natural tendency toward reduced emissions to be only 14 percent. The difference between the reduction rates of 28 percent and 14 percent between the two groups -- that is, 14 percent of emission reduction -- indicates the potential of purely voluntary notification. In a "fully armed" remote-sensing program, early notification would act not only as a friendly notice but also as a warning.

The program should also extend a "notice of appreciation" to motorists with clean cars, perhaps after a series of readings has been compiled. This would serve to reassure the motorist of his clean status, and it would build good will with the public.

Repair Subsidies and Waivers

For reasons of equity, enhanced compliance, and political acceptability, it makes sense for the program to offer repair subsidies to the poor. Current California law provides for a High-Polluter Repair or Removal Account, to provide financial assistance to low-income people seeking to repair (up to $450) or replace (up to $850) their gross-polluting cars.(28) We favor a repair subsidy program but oppose "buy-back" or vehicle retirement programs.

Any kind of subsidy program invites individuals to position themselves to be recipients. In a sense, a repair subsidy creates a demand for high-emitting vehicles, and individuals will meet this demand if the program does not include countervailing incentives. The following requirements ought to be built into the repair subsidy program:

  1. Only repairs certified as necessary to rectifying the car's high emissions are eligible. A car marginally exceeding its emissions standards is not eligible; instead it should be granted a waiver.
  2. The car's emission system must show no signs of deliberate tampering.
  3. The car must be registered.
  4. The car owner must have a low income and low wealth, as evidenced by tax returns.
  5. The car owner must pay a deductable, say of $75, of the total repair bill.
  6. The car owner must make a copayment for the remaining amount of the bill, say 35 percent. For a total repair bill of $450, therefore, the car owner would pay:
  7. $75 deductable + 35 % of $375 = $206
    The state would pay $244.

  1. No car nor individual could be the recipient of more than one repair subsidy within a four year period.

Funding for repair subsidies could come from general levies on car registration, program fees and fines, or corporate contributions to obtain pollution credits.

We are unenthusiastic about buy-back programs because they are expensive (perhaps $500-$800 per car), and because they tend to remove cars that are in fact driven very little. With a buy-back program, an individual who is about to junk a car would have a strong incentive to put it into a condition that made it eligible for a buy-back program. The buy-back then is not really removing a dirty car from the road. With careful attention the problems with buy-back programs can be reduced, but we should be reluctant to create an additional government program when remote sensing might be able to treat the problem more directly. The remote sensing program would impel owners of high-polluting clunkers to clean them or retire them. Supplemental buy-back programs could perhaps be initiated by volunteer citizen efforts, like Project Clean Air in Kern County, California.

Waiver limits are the thresholds at which the repair bill would be so high that the car is granted an immunity from the program. With a repair subsidy program in place, waiver limits for gross polluters ought to be very high, or perhaps eliminated altogether. It is very rare that an untampered car calls for more than $800 in repairs to rectify its emissions. With the repair program described here, the individual would pay $329 towards the bill. We recognize that even this amount is a very hefty tab for someone in poverty, but this is the rare, worst case scenario.

VI. The Recommended System of Penalty: Monetary Fines

When a motorist receives a citation for exceeding the speed limit, driving recklessly, or parking illegally, he is required to pay a fine. A similar system of penalties could be utilized for smog violations. The alternative to a system of monetary fines would be a system that requires cited motorists to report for follow-up inspection. Here we argue that the best system would utilize monetary fines, and no follow-up inspection.

Let's consider the philosophy behind social control mechanisms in general. There are three goals that such mechanisms may aim at: (1) compensation to those who suffered by the misconduct of wrong-doers; (2) protection of life or property (whether public or private) by deterrence, which is achieved by punishment of wrong-doers; and (3) correction (or rehabilitation) of the ways of wrong-doers.

Now consider the case of remote-sensing. The concrete objective of the program is the protection of the airshed from gross polluters. The airshed is a common property of the citizens, and the government acts on their behalf. Those who respect that property certainly ought not to be penalized for their good behavior (as they are by any variety of periodic inspection). But more to the point, it would be just to have those who damage the common property compensate those who have been harmed. Revenues from fines would go toward financing the program, which benefits the community as a whole. Making gross polluters pay fines is one way of achieving community compensation, and of giving the gross polluters a means of redeeming themselves with the community.

From the point of view of deterence, monetary fines are again at least as good as follow-up inspection. Like speeding tickets, fines for smog violations can be graduated with the extent and consistency of the violation. They can give a mere slap on the wrist to those edging over the (actually enforced) limit, and a stiffer smack to flagrant offenders. A program of monetary penalties will induce motorists to value, and, if necessary, to seek in the marketplace, their own prevention of such deterrence. In other words, motorists will be induced to keep their cars clean.

Finally, there is the issue of corrections or rehabilitation. If the private individual, in his "local situation," values good advice on getting his car to pass muster with remote sensors, he will turn to the same sources that he turns to for his other needs, comforts and pleasures -- namely, his friends, family, neighbors, co-workers and entrepreneurs in the private marketplace. The remote-sensing program will be creating a market demand for prevention-of-smog-citations. This good would under such a program be a normal private good like hamburgers or handkerchiefs; the free, private market will be best at producing and supplying it. Perhaps consumers would demand and mechanics would offer a warranty on smog repairs. Perhaps entrepreneurs would open up drive-through testing facilities that use remote sensing and that charge just a few dollars. Such testing might become be quicker and cheaper than going for a carwash.

Were the government to require follow-up inspection for dirty cars, it would be implementing precisely the command-and-control specification of inputs that we have criticized. The points raised earlier about the problems with specifying inputs -- lack of local knowledge, chance of specifying the wrong inputs, lack of adaptation and experimentation, added administrative costs, and heightened politicization of the issue -- all apply with force to the utilization of follow-up inspection. This is an instance where it is appropriate to invoke the basic truth that capitalism works better than socialism.

Are Monetary Penalties Inequitable?

The first question about equity is whether singling out the gross-polluting minority is unfair. As compared to a system of universal Smog Check, the answer must be that it is not unfair. Universal Smog Check may superficially seem more equitable because everyone goes through a similar experience, but that is the sort of equality that a government achieves when it makes poverty universal. The goal of a good program must be to pursue the problem cases; it is no comfort to them to know that the others also have to undergo Smog Checks or other costly measures. Increasing equality does not necessarily serve true equity goals.

Most high emitters are lower-income motorists. The repair subsidy program will do much to ease compliance for these motorists.

Another equity question is whether a system of monetary fines, as opposed to follow-up inspection, is inequitable. Some might dub monetary fines a payment for the right to pollute. We see no grounds for a charge of inequity. In a sense, in paying smog fines one does buy a right to pollute. In this idiom, however, we would also have to say that in paying speeding tickets one buys the right to speed. And indeed, the rich are in a position to buy more of such rights. But if the rich decide to buy more polluting rights, that means that they have less wealth left over to lay claim to larger portions of the pie in other areas of life, such as food, housing, or entertainment. Once we take a full account of things, we see that imposing monetary fines does not favor the rich.

Consider the case of the rich playboy who tampers with his Porsche and figures that he'll routinely pay the smog fines. The remedy would be, as is done with speeding violations, to escalate the monetary penalties for routine and flagrant offenses. The fines could be gradually heightened until the wayward Porsche driver can expect to pay an extra few dollars for every trip he makes.

A concern about the rich buying the right to pollute seems to us, therefore, unalarming. The important point is that they in fact be made to pay if they are going to pollute. Denying the opportunity to pay cash, and instead requiring follow-up inspection, may indeed make life harder for rich gross polluters, but, short of reveling in malice or envy, no one else will gain comfort from this requirement.

Another way to approach equity concerns is to ask specifically how the poor will fare. Indeed, monetary fines on the poor will smart, and will induce them to clean up their cars. The system of warnings and gradually-increasing fines will, however, give them ample opportunity to avoid the harsher fines. Monetary fines will hurt, but deterrence is a goal of the program. Whether we impose fines or require follow-up inspection, the deterrent power comes from punishing wrong-doers, poor and rich alike.

One appealing idea is to give smog violators the option of paying a fine or reporting for follow-up inspection. This will give the motorists an alternative to paying fines that strain their budgets. We will return to this idea later in the paper.

One final point about equity: Equity is about the difference of conditions between groups, but not only income groups. There is also the distinction between those who comply and those who do not, between the innocent and the guilty. Here equity and justice considerations would seem to dictate that these groups be treated differently. Equity and justice would seem to suggest, rather, that the guilty compensate the innocent for their offenses, at least in an aggregate sense. The best way to do that is by monetary fines.

VII. Estimates of Public-Sector Program Costs and Program Revenues

We have laid out the ideal program: pervasive remote sensing, imposition of monetary penalties, no follow-up inspection, and on-road pull-over units. Here we estimate the public-sector costs and revenues for a program for the greater Los Angeles area. The fleet consists of 8.5 million vehicles.(29) We will assume that the average number of times that a car's emissions is read by remote sensors per year is four. In other words, throughout this exercise we are assuming that each year the program makes 4 X 8.5 M (= 34 M) valid readings per year.

To establish the fullest possible range of estimates, every variable will be given three possible values: an optimistic value, and intermediate value, and a pessimistic value. The pessimistic case is really very pessimistic. Nevertheless, even after slanting cost assumptions against the program in every detail, we still find that the program is inexpensive relative to Smog Check. In our judgement, a realistic estimate lies somewhere between the optimistic and the intermediate estimates.

The variables, assigned values, and calculations are shown in Table 1. The table is divided into six parts: Inspection Capability and Remote Sensing Deployment, Costs of Equipment, Labor Costs, Miscellany and Administrative Overhead, Costs of Citations, and On-Road Pull-Over Activities.

 

Optimistic
Estimate

Intermediate
Estimate

Pessimistic
Estimate

Inspection Capability and Remote Sensor Deployment      
1. Hours of operation per day 10 8 7
2. Days per sensor per year 330 300 260
3. Hours per sensor per year 3,300 2,400 1,820
4. Gross readings per sensor per hour
650
1/5.5 sec.

500
1/7.2 sec.

400
1/9 sec.
5. Rate of valid readings 95% 88% 80%
6. Valid readings per hour 618 440 320
7. Valid readings per sensor per year 2,037,750 1,056,000 582,400
8. Number of sensors required for four valid readings per car per year 17 32 58
9. Total sensor hours per year 55,061 77,273 106,250
Equipment Costs per Remote Sensor      
10. Sensor (to read CO, HC, NOx) and computer $95,000 $120,000 $160,000
11. Vehicle with A/C, generator, etc. $26,000 $35,000 $40,000
12. Automatic license-plate reader with video equipment $16,000 $20,000 $30,000
13. Acceleration measurement equipment $4,000 $5,000 $9,000
14. Safety Equipment $1,000 $2,000 $3,000
15. Subtotal, equipment costs $138,000 $177,000 $233,000
16. Annual maintenance and insurance rate on initial cost of equipment 0.15 0.25 0.35
17. Annual maintenance and insurance costs for equipment $20,700 $44,250 $81,550
18. Life of Equipment (years) 6 4 2
19. Annualized purchase cost of equipment $23,000 $44,250 $116,500
20. Total annualized equipment, maintenance, and insurance cost per sensor $43,700 $88,500 $198,050
21. Total annualized equipment, maintenance, and insurance cost for all sensors $729,138 $2,849,432 $11,561,985
Labor      
22. Number of employees per sensor 1 1.2 1.5
23. Cost per employee per hour $30 $45 $60
24. Employee time per hour of remote sensing 1.15 1.25 1.35
25. Total employee cost per hour of sensing operation $34.50 $67.50 $121.50
26. Total employee cost per year $1,899,595 $5,215,909 $12,909,375
Administrative Costs      
27. Annual cost of site selection $2,000,000 $3,000,000 $4,000,000
28. Correlation with DMV data $2,000,000 $4,000,000 $5,000,000
29. Program evaluation and refinement $2,000,000 $3,000,000 $4,000,000
30. Miscellaneous $2,000,000 $3,000,000 $4,000,000
31. Total annualized administrative costs $8,000,000 $13,000,000 $17,000,000
32. Cost per valid test $0.31 $0.62 $1.22
Citation Costs      
33. Cost of documentation, printing, and handling per notice $0.05 $0.10 $0.15
34. Total annual notification cost $4,717,500 $5,355,000 $5,992,500
         
35. Annual cost of pull-over activities $3,000,000 $6,000,000 $12,000,000
36. Total annualized program cost $18,346,233 $32,420,341 $59,463,860

Table 1. Cost Estimate for a Pure Remote-Sensing Program
for the Los Angeles Region

Inspection Capability and RSD Deployment

Lines 1 and 2 give estimates of the average number of deployment hours per day per remote sensing device (RSD), and the average number of days of deployment per year. The remote-sensor is technically capable of reading tailpipe emissions much more quickly than cars in fact pass by on the road, so the constraint in readings per hour is one of traffic flow. Based on experience in remote-sensing demonstrations,(30) we set the optimistic estimate at 650 readings per hour (or one every 5.5 seconds), the intermediate at 500 per hour (one every 7.2 seconds), and the pessimistic at 400 per hour (one every 9 seconds). The next line acknowledges that for technical reasons the system may not get a usable measurement and license-plate reading for every car. Along with estimates for other variables shown in the table, line 8 tells how many RSDs would be required to make an average of three readings per car in the fleet. Naturally the optimistic column shows the lowest number of RSDs required.

Equipment Costs

This section of Table 1 itemizes the equipment needed for each on-road unit in the program: the remote sensor (including beams, sensors, and computer), a vehicle (presumably a van), automatic license-plate reader, acceleration measurement equipment, and safety equipment. Estimates are based on a December 1992 survey of prices and market availability for such equipment (Hughes Environmental Systems, pp. 5.13, 3.4-3.6), and on consultation (August, 1995) with Dennis Smith of Remote Sensing Technologies Inc. and with Frank Huerta of Hughes Santa Barbara Research Center (these two firms sell most of this equipment). Estimates of lifespan, maintenance costs and insurance are also included. Line 21 gives total annualized cost of equipment for the program.

Labor Costs

There are three variables that go into labor costs: number of employees required per RSD, hourly cost burden per employee (wage rage, benefits, Social Security taxes, workers' compensation, etc.), and employee job time per one hour of RSD operation (there will be down-time while employees are in transit, setting up equipment, etc.) Line 26 gives the estimates for total labor costs for the program.

Administrative Overhead and Miscellany

Line 31 gives estimates for the annualized cost of setting up the program, evaluating it, site selection for the remote sensors, correlation of emissions data with DMV data, and so on.

Cost Per Test

It is useful to estimate the cost per test, based on the assigned values for inspection capability, equipment cost, labor cost, and administrative overhead. This calculation therefore includes all costs that go merely into testing cars; it excludes the costs of citation and pull-over. Line 32 shows a cost-per-test range of 31 cents to $1.22. In our judgement, the intermediate figure of 62 cents per test can be taken as a conservatively high estimate.

Cost of Citation

This section of Table 1 estimates the cost of notifying motorists. Line 33 assigns values to the cost of documentation and printing each notice. For the total cost of notification, given in line 34, we figure that on average every car ought to be the subject of at least one notice per year, if only to report to the owner that the car is clean. Assuming also that some dirty cars receive multiple notices, we assume that each year the average number of notices received per car in the fleet is 1.5. Also going into the calculation of line 34 is a postage rate of 32 cents per notice.

On-Road Pull-Over Costs

Line 35 give estimates for the annual costs of on-road pullover activity. A rough accounting for the intermediate value of $6 million could be made as follows: 25 pull-over teams, each utilizing three employees, each employee costing in total employment burden $70,000, each team utilizing equipment and vehicles with combined annualized cost of $30,000. It is quite possible that pull-over activity would take advantage of on-site economies of scale by having one peace officer working with several technicians, as well as the on-site RSD operator. The site would require adequate room to pull over several vehicles at once.

Costs of Repair Subsidies

We separated the repair-subsidy costs into Table 2. These expenditures achieve something without analog in the cost calculations for Smog Check presented below, so for purposes of comparison they have been kept separate from the other costs of the remote-sensing program. In the Intermediate scenario of Table 2 we assume that 0.5 percent of the fleet will receive a repair subsidy. To quality for a subsidy the owner must have low-income status and his car must be high emitting, be registered, not have been tampered, and not have benefitted from a repair subsidy in the previous four years. We assume that the average subsidy is $250 (which corresponds to an average total repair bill of $460 for cars receiving repair subsidies). These assumptions yield total annual subsidies of $10.6 million.

 

Optimistic
Estimate

Intermediate
Estimate

Pessimistic
Estimate

1. Number of cars receiving subsidy each year
21,250
(0.25% of fleet)

42,500
(0.50% of fleet)

85,000
(1% of fleet)
2. Average value of subsidy $200 $250 $300
3. Total cost of subsidy $4,250,000 $10,625,000 $25,500,000

Table 2. Repair Subsidy Costs

Total Program Costs, Compared to Costs of the Current Smog Check Program

We have now specified every item in the program. The Intermediate estimate of program cost is $32 million. Let's consider this amount in comparison with the cost of the current Smog Check program.

Somerville (1993, pp. 94, 103) estimates the cost current Smog Check. The cost per test can be broken down into three parts:

Station Cost $21.18
State Cost $7.00
Motorist's Time Cost(31) $13.88

TOTAL COST

$42.06

Cost of Smog-Check per Test

Source: California I/M Review Committee, pp.94, 103.

With the estimate of $42.06 per test, we then multiply by an estimated 4.25 million Smog Checks per year.(32) That would give a total cost for the Los Angeles area Smog Check program of $179 million. There is, however, one more significant cost of the current Smog Check program that would be largely avoided in the remote sensing program: the cost of unnecessary and even counterproductive repairs to marginal emitters. The Smog Check program enforces a more stringent standard against all cars, even those that are basically clean but marginally over the limits. These marginal emitters then go through expensive repairs, even though we know that it is only the gross polluting 10 or 20 percent that really matter. There is clear evidence that, remarkably, at least one third of the cars that fail Smog Check and are repaired to pass, subsequently have higher emissions!(33) This is truly an enormous and totally useless cost of the current program, and it is a cost that would be largely avoided by the remote sensing program. (It is, though, a cost that conventional Smog Check could reduce by utilizing more lenient emissions standards.) Taking this cost of superfluous repairs into account would heighten the contrast between the cost of the two programs, but we will leave it aside in what follows.

Using the Intermediate estimate for the remote sensing program (excluding the cost of repair subsidies), and the very generous estimate for the Smog Check program, we then get the following:

Remote Sensing Smog Check
Total Program Cost $32 M

$179 M

The cost of the current Smog Check Program is over five times the cost of the proposed remote sensing program. Even for the Pessimistic estimate for remote sensing, the current program costs three times more.

Meanwhile, remote sensing not only costs far less, it promises to really make a huge difference in the quality of the air. A remote sensing program makes unanticipated tests, and it tests each car, on average, eight times more often than the current program. The ratio of cost-effectiveness between the two programs could well run in the hundreds.

Program Revenues

The program also would generate some revenues from the collection of smog fines. In Table 3, line 1 assigns values for the average dollar amount of all smog fines paid. Line 2 gives estimates of the total number of fines levied, with the Intermediate estimate corresponding to six percent of the fleet. Line 3 then assigns values for the percentage of levies that are actually paid. The Intermediate estimate of Total Revenues Collected (Line 4) shows $15 million, an amount equal to 41 percent of the Intermediate estimate of total program costs. Aside from the revenues from smog fines, there might also be added revenues from the increase in the rate of vehicle registration, which would result from performing on-road pull-overs.

Revenues

High
Estimate

Intermediate
Estimate

Low
Estimate

1. Average fine paid $50 $35 $20
2. Number of fines levied per year
1,020,0000
(12% of fleet)

510,000
(6% of fleet)

85,000
(1% of fleet)
3. Percentage of levied fines paid 95% 85% 75%
4. Total annual revenues from fines $48,450,000 $15,172,500 $1,275,000

Table 3. Program Revenues

VIII. An Inferior But Politically More Viable Penalty: Follow-Up Inspection

What is best is not necessarily appealing to those active in the political process. Fines might not be politically viable. For that reason we propose another sort of penalty, one which is clearly inferior.

Plan B would to require smog violators to report for some kind of scheduled follow-up inspection. In thinking about follow-up inspection, instead of monetary fines, we should recognize this requirement as serving merely as a different kind of penalty, and not as a contribution to the process of correction. Plan A, pervasive surveillance with monetary fines and enforcement pull-overs, specifies a penalty that generates the most efficient process of corrections: free and private enterprise responding to the needs of consumers. Plan B simply changes the penalty that causes the motorist to initiate this process. As a penalty, it is less efficient because it is expensive and basically redundant, given the pervasive deployment of remote sensors.

Follow-Up Inspection

If we must have follow-up inspection, what kind of inspection should it be? The E.P.A. favors the highly expensive dynamometer test (IM-240), which puts the car on a treadmill to simulate stop and go driving. The IM-240 reads CO, HC, and NOx emissions, and gets a marginally better picture of a car's emissions than does the standard idle-test (BAR-90) that is currently performed in California Smog Checks.(34) BAR-90 does not read NOx. The IM-240 test, however, uses more expensive equipment and more time per test. There has been much controversy over test equipment; the regulators seem to have a penchant for high-tech approaches. In the debates over which is the best test to be performed at anticipated inspections, the drama has been mainly between the IM-240 and idle-tests like the BAR-90. Yet the test that is really the most appropriate is neither: it is the remote sensor.

The best kind of anticipated inspection would work as follows: The cited motorist would bring his car to a designated inspection cite. There an employee would get behind the wheel and take the car on the official test route, which would probably be a test track but, in uncongested areas, might even utilize public roads. On the test route there would be three or four remote sensors. The car would pass by at different rates of acceleration or on different grades. The sensors would test for CO, HC, and NOx. Since the cars would be tested under carefully controlled conditions, the series of tests would give excellent results. Some kind of overhead covering, like those at gas stations, would have to keep rain off the pavement at the points where remote sensors measure emissions. Any marginal or ambiguous cases could simply be put through the test a second time. The cars that failed the test could be subjected to under-the-hood inspection.

This test program would do almost everything the IM-240 does. It would not make readings as accurately as the IM-240, but it certainly would tell if the motorist had failed to make his car run clean. The basic goal of the program is the transformation of high emitters into low emitters. The differences that have been observed between the readings of IM-240 and those of remote sensors -- never mind who gets to claim to be the more accurate! -- are insignificant.

Yet the remote sensing alternative is less expensive. Since only the cited minority of vehicles will be called to inspection, the stations would be few in number and located at out-of-the-way places where land is cheap. The main efficiency gain would come from the much higher throughput. For the remote-sensing test, only those cars that failed the track test would need to be funnelled into inspection bays and attended to by technicians. Most of the labor would be low-skilled program drivers whose only qualification would be to be able to follow a two-minute driving pattern. Most any high-school senior could learn to perform the job in a single day.

Another nice feature about using a remote-sensing track for follow-up inspection is that, because the marginal cost is so low, the facility could even sell its service to the public. Even motorists who have not been cited may wish to visit the track and pay $3 to have their car tested. These motorists may wish to do so as a check against future smog citations, as a way of checking repairs that private mechanics have made to their cars, or simply for environmental concern.

Combining Follow-Up Inspection with Monetary Penalties

The best system, Plan A, would simply impose monetary penalties. A compromise to the input-specification (i.e., command-and-control) modus operandi would be to penalize by requiring follow-up inspection at remote-sensing tracks (Plan B). This Plan B might have more political currency than Plan A, but there is a way of combining the two to get us closer to the cost effectiveness of Plan A. Under a modified Plan B, follow-up inspection could be presented to cited motorists as merely one option. This would make the citation like a "fix-it" ticket, which gives the motorist the option of paying a fine or providing proof of having rectified the problem. This is really a very neat solution. Motorists for whom reporting to follow-up inspection is highly costly would opt for paying in cash. This is better for motorists and better for the state since it gains revenues. Motorists with easier access to follow-up inspection or with limited funds can pay in kind. As we have said, follow-up inspection is significant only as a penalty, not as a corrections device. Whether motorists pay in cash or in kind, it is the constant threat of remote sensing on the roads that drives the corrections process.

At this juncture, an earnest reader might suggest that, if we had Plan A (just monetary fines), the state could help by contracting for some voluntary, public-access remote sensing tracks at which motorists could assure themselves of low emissions or of the integrity of repairs made to their car. Such a service may indeed be valuable, but such a reader has not learned the wisdom of Adam Smith: there is absolutely nothing to prevent the profit motive from seeing to the provision of this input in the process of preventing smog citations. Like an oil change or a car wash, the service becomes a normal private good that is best supplied by decentralized private enterprise.

IX. A Program for the Near-Term

We have laid out a vision for the long-term, a vision that presupposes that remote sensing will prove to be a fully viable technology. Our goal in this section is to propose a near-term proposal for the South Coast region. This proposal is less idealistic, more sensitive to political acceptability, and congruent with current legal guidelines.

Remote sensing is however still the major innovation. We propose that enough remote-sensing capability be deployed to yield an average number of four valid readings per year for the entire fleet. Using the assumptions from the Intermediate Column of Table 1, this would require 24 remote-sensing units.

We further propose that the following three features of the long-term program already set out be included in the near-term plan: citation by mail, on-road pull-overs of problem cases only, and repair subsidies for low-income motorists. The citations however would call the car to follow-up inspection rather than impose a fine. The motorist would have to bring his car either to a conventional Smog Check station, or, if the state were required to build them, to centralized facilities.

Once remote sensing with pull-overs has been introduced, it makes little sense to continue calling all cars to biennial inspection. The vast majority of cars would have been subject to a remote-sensing test during the previous year. Hence we would want to begin phasing out periodic inspection. We have already begun this process, in that recent state legislation allows new car owners to buy out of their first Smog Check.(35) This process ought to be accelerated.

With the remote-sensing forces on the road, we should call only a minority, say 15 percent, of the vehicle population to anticipated inspection. There are several possible criteria for selecting those 15 percent. One alternative would be random selection, so nobody feels picked on. Alternatively, it would be more effective in terms of emission reductions to pick on the model-year vehicles that are known to have the highest rates of excessive emitting; naturally this will strike many as unfair. Third, we might wish to pick on the cars that have not shown up on the remote-sensing monitors. Probably this would be because the cars in question are driven infrequently, but possibly it would be because their owners had figured out ways to evade remote-sensing sites.

If possible the state should resist all pressures to build centralized facilities. It makes sense to wait and see what remote sensing can achieve before sinking further investment in anticipated inspection or more expensive inspection equipment.

X. Remarks About Program Benefits

To evaluate the desirability of a program, we would like to get an idea of its cost-effectiveness, which is defined as its total benefits divided by its total costs. We have already described and estimated the total costs of a proposed remote sensing program. What about its benefits? This question calls for some candid remarks.

How many drunk-driving accidents are prevented by the policing of drunk driving? In other words, how large are the benefits from the policing of drunk driving? We could count the number of drunk-drivers apprehended during the year, and figure that in each case that a drunk was prevented from making his journey the risk of accident was correspondingly reduced. This calculation would however greatly underestimate the benefits because it neglects the deterrent effect of the policing of drunk driving. The policing efforts remove not only the drunks who are apprehended but also the drunks who choose not to drive because they fear being apprehended. Because of the severe penalties for drunk driving, the deterrent effect of policing is probably far greater than the direct effect by apprehension. A researcher could hope to estimate the deterrent effect by studying the different rates of drunk driving accidents in regions where the offense is strictly policed versus regions where it is not. Even then, estimates of benefits would be very rough.

In the case of the remote sensing program, we cannot hope to estimate the deterrent effect until a live program is in place. There is of course good reason to say that the deterrent effect would be "large," but how large is anybody's guess. There simply is no definitive scientific procedure for estimating what human response will be in a setting that is entirely new.

We could hope to get a lower bound on program benefits by forecasting the direct-apprehension benefits and assuming the deterrent effect to be zero. In the case of remote sensing, direct-apprehension is itself highly effective, much more so than for the policing of drunk driving. There are two reasons for this: (1) policing and surveillance for remote sensing is very inexpensive and pervasive, and (2) once a car is fixed it stays fixed for at least a while (whereas a man made sober can promptly make himself drunk again).

What percent of high-emitters would be read by remote sensors an adequate number of times each year to receive a warning or a citation? Probably the vast majority, since the average number of readings would be four per car. Those that escaped detection would tend to be those that traveled little and hence polluted less. And what percent of those receiving a notice would consequently make their cars clean? Again, probably the vast majority, since leaving one's car dirty would leave oneself in constant jeopary of penalty. And how long would a repaired car stay repaired and low-emitting? We really don't know the answer to this one, but we do know that repairs do vastly reduce the emissions of high emitters,(36)and we know that if the car resumed high emissions the system would probably detect it rather promptly.

It seems reasonable to claim that, even with no deterrent effect, the remote sensing program would probably eliminate the lion's share of the emissions from the high emitters. Since high and gross emitters generate about 88 percent of the on-road CO and HC, the direct reduction from the program would be perhaps 30 percent of total on-road fleet emissions. We will hazard to say that, once we include the deterrent effect of the program, total on-road fleet emissions would be reduced by 50 percent. This claim is only an educated guess. (When we say "on-road emissions," we mean only tailpipe emissions generated after the cold-start mode in vehicle operation.) One could take our "guestimate" and calculate the corresponding emission reductions (in tons) and the corresponding cost-effectiveness of the program (in gram reduction per dollar), but we feel that doing so would be giving a false air of confidence to the figure. Suffice it to say that the benefits of the program would be huge, Angelinos would breath much better air, and the cost-effectiveness of the program would be excellent -- much better than any other program currently in operation or on the drawing-board.

XI. Beyond Inspection & Maintenance: The Remote Sensing Challenge to the Full Range of Auto Emissions Command-and-Control

This paper has focused on Inspection & Maintenance programs. We have argued that with remote sensing in place, periodic inspection is likely to become largely redundant. In that event it should be discontinued. But I & M is just one sort of program aimed at reducing fleet emissions. Other programs include carpooling mandates, emissions requirements on new cars, zero-emission vehicle quotas, and alternative fuel mandates.

Our reasoning applies to these other programs as well. As an air quality measure, carpooling mandates, like Los Angeles's Regulation XV or the EPA's ECO plan, are gravely ill-considered. They are extreme examples of input oriented strategies that fail to go to the heart of the problem, yet impose enormous costs. Recent literature shows convincingly that these programs rate terribly in cost-effectiveness.(37)

What about new-car emission standards imposed on auto makers? Putting aside the issue of global warming, we must remember that smog is a problem only in certain regions. EPA emission requirements however mean that many car buyers have to pay more for a new car even though they are not living in an area with a smog problem. If possible, it ought to be addressed in regional, decentralized programs. Remote sensing promises to do that. Again, the success of remote sensing should lead us to reconsider basic policy.

With a functioning remote sensing program, regions can police for low emissions and thereby induce the automakers and the energy industry to serve the new demand for clean cars. Motorists will demand clean cars to pass muster with the remote sensors. Again it is a matter of seeing the problem in the manner of Adam Smith. Let local regions police emission outputs as they deem necessary, and leave the inputs free to find the most efficient methods of meeting those output requirements. Those methods might include alternative fuels and certainly will include low-emitting vehicles, but in this system the methods are selected by the competitive forces of the market, which does better than government agencies.

XII. Conclusion

Remote sensing is not a fully proven technology. But the indications look promising and we should look ahead at the full implications of a viable remote sensing technology.

If remote sensing lives up to its promises, the best feasible way to control auto emissions is a remote sensing program that punishes persistent high emitters with monetary fines. The program is simply the policing of the common property that is the airshed. Protecting the common property with remote sensors should be understood as analogous to the owners of a bank protecting their common property by setting up video cameras in the bank lobby to watch for thievery. Like the bank video cameras, remote sensing polices the outputs -- what we really care about -- rather than plans the inputs. When outputs can be effectively policed by government, it is best to leave the inputs free to dance their own steps within the market framework to meet the output demands set by government.

This market-based approach stands in sharp contrast to those who promote elaborate and costly schemes for reducing auto emissions. Smog Check, mandatory carpooling, emission requirements on new cars, alternative fuel schemes, and the like are all attempts to reach back into the production process and specify inputs. Adam Smith described the fallacy of this modus operandi:

The man of system ... is often so enamored with the supposed beauty of his own ideal plan of government that he cannot suffer the smallest deviation from any part of it. He goes on to establish it completely and in all its parts, without any regard either to the great interests or to the strong prejudices which may oppose it; he seems to imagine that he can arrange the different members of a great society with as much ease as the hand arranges the different pieces upon a chess board; he does not consider that ... , in the great chess board of human society, every single piece has a principle of motion of its own altogether different from that which the legislature might choose to impress upon it.(38)

If we continue to promote programs that neglect our new-found hope of treating directly the output in question, and instead command and control the behavior of others to serve a favorite input scheme, then we fail to take into proper consideration the teachings of Adam Smith. But if instead the Smithian principles are applied to auto emissions, society will be less bureaucratic and the air will be cleaner.

Endnotes

1. Douglas R. Lawson, "Costs of "M" in I?M -- Reflections on Inspection/Maintenance Programs," Journal of the Air & Waste Management Association, 45, June 1995, 465-76.

2. Douglas R. Lawson, ""Passing the Test" -- Human Behavior and California's Smog Check Program," Journal of the Air & Waste Management Association, vol. 43, (Dec., 1993);" Amihai Glazer, Daniel B. Klein, Charles Lave, "Clean on Paper, Dirty on the Road: Troubles With California's Smog Check," Journal of Tranport Economics and Policy (forthcoming, 1995).

3. Wealth of Nations, p. 681.

4. Adam Smith, The Wealth of Nations, Edwin Cannan ed., (New York: Modern Library, 1937 [1776]), p. 423.

5. California I/M Review Committee, "Evaluation of the California Smog Check Program and Recommendations for Program Improvements," Fourth Report, February 16, 1993, p. 10; U. S. Environmental Protection Agency, "EPA Responses to Questions," Prepared for the Joint Public Meeting of the California I/M Review Committee, California Air Resources Board, and Bureau of Automotive Repair, July 29, 1992.

6. Lawson, "Costs of "M"," Huel C. Scherrer and David B. Kittelson, "I/M Effectiveness as Directly Measured by Ambient CO Data," SAE Technical Paper Series 940302, 1994.

7. See Glazer, Klein, and Lave, "Clean on Paper."

8. Douglas R. Lawson et al, "Emissions from In-use Motor Vehicles in Los Angeles: A Pilot Study of Remote Sensing and the Inspection and Maintenance Program," Journal of Air & Waste Management Association, 40, (1990); Lowell L. Ashbaugh et al, "On-Road Remote Sensing of Carbon Monoxide and Hydrocarbon Emissions During Several Vehicle Operating Conditions," in PM10 Standards and Nontraditional Particulate Source Controls, Vol. II, J.C. Chow and D.M. Ono, eds., (Pittsburgh, PA: Air & Waste Management Association, 1992), pp. 885-898.

9. Lawson et al (1990).

10. E.g., Ashbaugh et al 1992.

11. We should further recognize that, of the cars in the set defined as "clean," it will be the relatively dirty ones that tend to fail. They may not be officially guilty, but they won't be entirely innocent.

12. It will be the relatively less-guilty cars that tend to sneak by.

13. See the "Conclusions" page of "Overview of RFF Analysis of Remote Sensing," April 1993.

14. NOx sensing will most faithfully distinguish dirty cars from clean when the cars are under load; hence the Nox sensor will work best when mobilized on uphill grades.

15. Robert D. Stephens et al., "The Michigan Remote Sensing Study: A Preliminary Review of Repair Induced Emissions Reductions," ms. 1993.

16. E.P.A. Guidelines, Federal Register, v. 57, no. 215, November 5, 1992.

17. See Douglas R. Lawson, letter to Richard J. Sommerville, November 6, 1992.

18. A.W.. Gertler et al., "Apportionment of VOC Tailpipe vs. Running and Resting Losses in Tuscarora and Fort McHenry Tunnels," presented at the EPA/A&WMA International Conference on the Emission Inventory: Perception and Reality, Pasadena, California, October, 1993.

19. This ratio is based on the Intermediate estimate of the remote-sensing cost per test (line 32 of Table 1) and the $42 dollar estimate for the cost of a Smog Check (see below). The cost per remote sensing test used here excludes the costs of citation, pull-overs, and repair subsidies.

20. That centralized inspection has a higher total social cost per test than decentralized Smog Check is disputed by the California I/M Review Committee, Fourth Report (1993), and some E.P.A. officials (see Eugene J. Tierney, "I/M Network Type: Effects on Emission Reductions, Costs, and Convenience," EPA Document EPA-AA-TSS-IM-I/M-89-2, January 1991, pp. 45, 46). For a treatment that counters the claim as made by the I/M Review Committee, see Amihai Glazer, Daniel B. Klein, and Charles Lave, "Clean for a Day: Troubles With California's Smog Check," University of California Transportation Center Working Paper No. 163, August 1993, pp. 21-25.

21. See Charles Lave, "Speeding, Coordination, and the 55 M.P.H Limit," American Economic Review, 75(5) , December 1985, 1159-1164.

22. Sierra Research hired a professional race-car driver to show that emissions from a clean car could be made to look dirty to remote sensing. This demonstration scarcely poses a challenge to the remote sensing agenda, because remote-sensing sites would be chosen for appropriate conditions, and because the program measures speed and accleration of the car. See Thomas C. Austin, Francis J. Di Genova, and Thomas R. Carlson, "Analysis of the Effectiveness and Cost-Effectiveness of Remote Sensing Devices," report prepared by Sierra Research for the U.S. Environmental Protection Agency, May 18, 1994.

23. Janice, V. Alcee, Jonathan C. Black, Robyne R. Law, Peter M. Wendzel, and Cheryl W. Lynn, "Legal Issues Concerning the Use of Photo-Radar," Transportation Research Record, 1375, 1992, pp. 17-25.

24. Cheryl W. Lynn, Wayne S. Ferguson, and Nicholas J. Garber, "Feasiblity of Photo-Radar for Traffic Speed Enforcement in Virginia," Transportation Research Record, no. 1375, 1992, pp. 11-16.

25. California Health and Safety Code, Section 44081, enacted March 30, 1994.

26. California Health and Safety Code, see Sections 44081-44095, enacted March 30, 1994.

27. Gary A. Bishop, Donald H. Stedman, James E. Peterson, Theresa J. Hosick, and Paul L. Guenther, "A Cost-Effectiveness Study of Carbon Monoxide Emissions Reduction Utilizing Remote Sensing," Journal of the Air & Waste Management Association, 43, 1993, 978-988.

28. California Health and Safety Code, Sections 44090-44095, enacted March 30, 1994.

29. This figure is based on the count of registered vehicles of 7.9 million (I/M Review Committee, p. 74), and then adjusting for unregistered vehicles (which account for about seven percent of the fleet; p. 124).

30. During a four-day remote-sensing study in Baton Rouge, 24,000 readings were taken by two remote sensors. Assuming eight-hour days, that translates into 375 readings per hour, or one reading every 9.6 seconds. See Babak Naghavi and Peter R. Stopher, "Remote Sensing, Means, Medians, and Extreme Values: Some Implications for Reducing Automobile Emissions," Transportation Research Board pre-print, 1993, p. 8.

31. The Motorist's Time Cost is based on an estimate of 83.25 minutes of the motorist's time devoted to the chore of getting the car through the test, at a cost rate of $10.00 per hour. The rate of $10.00 per hour is most likely an under-estimate since dealing with Smog Check is an irregular and anxiety-filled task.

32. There are some minor factors to consider in this assumption. We are supposing that there are 8.5 million Smog Checks every biennium, even though there are only 7.9 million registered vehicles at any one time. However, many of the unregistered vehicles have merely lapsed in their registration a couple of months. And cars must pass through Smog Check not only on a scheduled biennial basis but also whenever they change ownership. On the other hand, a new law allows new car owners to buy out of their first Smog Check.

33. Lawson, "The Costs of "M"."

34. Lawson, "Costs of "M"."

35. California Health and Safety Code, Sections 44090-44095, enacted March 30, 1994.

36. Lawson, "Costs of "M"."

37. Kenneth C. Orski, "Evaluation of Employee Trip Reduction Programs Based on California's Experience with Rule 1501, An Informal Report of the Institute of Transportation Engineers," Resource Papers for the 1994 ITE International Conference, January 1994.

38. Adam Smith, The Theory of Moral Sentiments [6th ed., 1790], Part IV, Sect. II, Ch. II.

 

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