Browse > Article

Identifying Key Factors to Affect Vehicle Inspection and Maintenance(I/M) Test Results Using a Binary Logit Model (California Case Study)  

Chu, Sang-Ho (한국교통연구원)
Publication Information
Journal of Korean Society of Transportation / v.24, no.3, 2006 , pp. 189-195 More about this Journal
Abstract
For the past decades, vehicle emissions has been a major source of air pollution in urban areas Vehicle inspection and maintenance (I/M) test programs were developed for major metropolitan areas to reduce urban air pollution. However. there are a few studies of exploring major factors to influence I/M test failure. This study develops a logit model to identify key factors affecting overall test failure, using the vehicle I/M test data from California in October 2002. The model results indicate that vehicle age, odometer reading, engine size, vehicle make, presences of emissions control equipment, and test types have significant effects on the probability of I/M test failure.
Keywords
자동차 배출가스;대기오염;운행차 배출가스 검사제도;이항로짓모형;캘리포니아 I/M 프로그램;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Bin, O.(2003), A logit analysis of vehicle emissions using inspection and maintenance testing data. Transportation Research Part D 8, pp.215-227
2 BAR(1998), Bureau of Automotive Repair, Smog Check Program Fact Sheet: 'High Emitter Profile and Randomly Selected Vehicles.' January
3 Kahn, M.(1996), New evidence on trends in vehicle emissions. The Rand Journal of Economics 27(1), pp.183-196   DOI   ScienceOn
4 환경부(2005), 환경백서 2005
5 Ben-Akiva, M. and S. R. Lerman(1987), Discrete Choice Analysis, MIT Press, Cambridge
6 Beydoun, M. and J. Guldmann(2006), Vehicle characteristics and emissions: Logit and regression analyses of I/M data from Massachusetts, Maryland, and Illinois. Transportation Research Part D 11, pp. 59-76
7 Wenzel, T. and M. Ross(1997), I/M Failure Rates by Vehicle Model. Presented at the Seventh CRC On-Road Vehicle Emissions Workshop, San Diego, CA, April 9-11
8 Lave, C. A. and K. Train(1979), A disaggregate model of auto-type choice. Transportation Research Part A 13, pp. 1-9
9 Heirigs, P., T. Austin, L. Caretto, T. Carlson, and R. Hughes(1996), Analysis of Causes of Failure in High Emitting Cars. Prepared by Sierra Research Inc. for the American Petroleum Institute, Health and Environmental Sciences Department, API Publication No. 4637. February
10 Lawson, D., S. Diaz, E. Fujita, S. Wardenburg, R. Keislar, Z. Lu, and D. Schorran(1996), Program for the Use of Remote Sensing Devices to Detect High-Emitting Vehicles, Final Report. Prepared by Desert Research Institute for South Coast Air Quality Management District. Reno, Nevada. April
11 Washburn, S., J. Seet, and F. Mannering (2001), Statistical modeling of vehicle emissions from I/M testing data. Transportation Research Part D 6, pp.21-36
12 Ross, M., R. Goodwin, R. Watkins, T. Wenzel, and M. Wang(1998), Real world emissions from conventional passenger cars. Journal of the Air and Waste Management Association 48, pp.502-515   DOI
13 Greene, W. H.(1995). LIMDEP Version 7.0 User's Manual. Econometric Software, Inc., Bellport, New York
14 Wayne, L. and Y. Horie(1983), Evaluation of CARB's In-Use Vehicle Surveillance Program. CARB Contract No. A2-043-32. Prepared by Pacific Environmental Services, Inc. for the California Air Resources Board, Sacramento, CA