THE PRODUCTION AND PREDICTION OF TRAFFIC ACCIDENTS

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Yuval Shilony

Abstract

Traffic accidents are a painful and costly affliction all over the world. The discussion and debate over the most effective measures to adopt to enhance road safety is often based on folk theories and is not free of private interests and pressures. Road traffic is a complicated system of interactions providing transportation services.  Unfortunately, in conjunction with these services, traffic accidents, an awful public bad, are produced. The purpose of this paper is to study the production relationship, for inter-city transportation, between the physical factors, i.e., highways and vehicles, and traffic accidents. The upshot is prediction ability of accidents in any given road segment, existing or planned. The regretful aspect of roads runs counter to conventional wisdom which, failing to appreciate the quantitative relationship between roads and accidents, often advocates building more and wider roads as the remedy.  The empirically substantiated public bad property of roads, by way of production functions for traffic accidents, is useful for public policy, concerning the investment in highways versus other forms of transportation, such as rail.  They also promote better understanding of traffic accidents and their data and the methodology allows testing hypotheses relating to safety policy. This study sheds light on the enigma of the long-term decline in the probability of death on the road, as observed in many countries, by attributing it to the rising traffic density. The estimation also sheds light on the accident-externality imposed by road users on others. The results suggest that for inter-city roads the risk of fatal and severe accidents is over-internalized by road users as the marginal effect of traffic flow is smaller than the average.

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References

Haight, F.A., 1984, Why the Per Capita Traffic Fatality Rate is Falling, Journal of Safety Research 15, 137-140.

Hautzinger, H., 1986, Regression Analysis of Aggregate Accident Data: Some Methodological Considerations and Practical Experiences, Accident Analysis and Prevention 18(2), 95-102.

Keeler, T. E., 1994, Highway Safety, Economic Behavior, and Driving Environment, American Economic Review 84, 684-693.

Lave, C.A., 1985, Speeding Coordination and the 55 MPH Limit, American Economic Review 75, 1159-1164.

Lave, C. A., 1994, Did the 65 MPH Speed Limit Save Lives?, Accidents Analysis and Prevention 26, 49-

62.

Lipnowski, I. and Y. Shilony (1983) The Design of a Tort Law to Control Accidents, Mathematical Social Sciences 4, 103-115.

Loeb, P.D., 1987, The Determinants of Automobile Fatalities, Journal of Transport

Economics and Policy, 279-287.

Peirson, J., I. Skinner and R. Vickerman, 1998, The Microeconomic Analysis of the External Costs of Road Accidents, Economica 65, 429-440.

Dickerson, A., J. Peirson and R. Vickerman, 2000, Road Accidents and Traffic Flows: An Econometric Investigation, Economica 67, 101-121.

Peltzman, S., 1975, The Effect of Automobile Safety Regulation, Journal of Political Economy 83(6), 677-725.

Vitaliano, D. F., and J. Held, 1991, Road Accident External Effects: An Empirical Assessment, Applied Economics 23, 373-378.

Zlatoper, T.J., 1984, Regression Analysis of Time Series Data on Motor Vehicle Deaths in the United States, Journal of Transport Economics and Policy, 263-274.