Burkey, Mark L. and Obeng, Kofi (2005): Crash Risk Reduction at Signalized Intersections Using Longitudinal Data.
Download (295kB) | Preview
This study extends the previous work of Burkey and Obeng (2004) that examined the impact of red light cameras on the type and severity of crashes at signalized intersections in Greensboro, NC. The extension takes the following form. First, we extend the data to cover 57 months, and to include demographics, technology variables, the condition of a driver at the time of the crash, vehicle characteristics, land use and visual obstruction. Second, instead of examining the impact of red light cameras, we focus on identifying the determinants of crash severity, two-vehicle crashes, and property damage costs. The major findings are that the safety impacts of seatbelt use outweigh the impacts of airbags deploying because the latter tends to increase evident injuries and property damage costs, while the former reduces these injuries. We also find that head-on collisions and under rides increase evident injuries. For two-vehicle crashes, we find that the risk of severe injuries increases in pickup-pickup crashes and SUV-pickup crashes, while the risk of possible injuries increases in car-truck crashes. For property damage costs, we found the condition of the driver at the time of the crash (i.e., illness, impaired, medical condition, driver falling asleep, driver apparently normal) to be important determinants in increasing these costs. The types of accidents that we found to increase property damage costs are running into a fixed object and under rides. Finally, we found that property damage costs of crashes are low where the land uses are commercial and institutional suggesting that the accidents that occur in these areas are minor.
|Item Type:||MPRA Paper|
|Original Title:||Crash Risk Reduction at Signalized Intersections Using Longitudinal Data|
|Keywords:||longitudinal data; accidents; intersections|
|Subjects:||R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R4 - Transportation Economics > R41 - Transportation: Demand, Supply, and Congestion ; Travel Time ; Safety and Accidents ; Transportation Noise|
|Depositing User:||Mark L. Burkey|
|Date Deposited:||30 Jan 2012 05:46|
|Last Modified:||21 Jun 2016 08:38|
Acierno, S., Kaufman, R., Rivara, F. P., Grossman, D. C. and Mock, C. 2004. Vehicle mismatch: injury patterns and severity. Accident Analysis & Prevention, 36 : 761-772
Advocates for Highway and Auto Safety, 2001. “Intersection Safety Potential Federal Funding Sources For Safety Improvements,” April. www.saferoads.org.
Bedard, M., Guyatt, G. H., Stones, M. J. and Hirdes, J. 2002. The independent contribution of driver, crash, and vehicle characteristics to driver fatalities. Accident Analysis and Prevention, 34: 717-727.
Blincoe, L. J., Seay, A. G., Zaloshnja, E., Miller, T. R., Romano, E. O., Luchter, S., and Spicer, R. S. 2002.
Economic impact of motor vehicle crashes 2000. US. Dept of Transportation, National Highway traffic Safety Administration, Washington, DC.
Burkey, M. and Obeng, K. 2004. A detailed investigation of crash risk reduction resulting from red light cameras in small urban areas. Urban Transit Institute, North Carolina A&T State University, and U.S. Department of Transportation, Washington DC.
Cameron, A. C., and Windmeijer, F. A. G. 1997. An R-squared measure of goodness of fit for some common nonlinear regression models. Journal of Econometrics, 77: 329-342.
Cameron, A. C. and Trivedi, P. K. 1998. Regression Analysis of Count Data, Econometric Society Monograph No.30, Cambridge University Press.
Cook, P., and Tauchen, G. 1994. The effect of minimum drinking age legislation on youthful auto fatalities, 1970-77. Journal of Legal Studies, 13(1): 169-190.
FHWA. “Motor Vehicle Accident Costs,” Technical Advisory T 7570.2, October 31, 1994.
Giles, M. 2003. The cost of road crashes: A comparison of methods and recent Australian estimates. Journal of Transport Economics and Policy, 37(1):95-110.
Greene, W. H. 2003. Econometric Analysis, 5e, Prentice Hall, Hew Jersey.
Hauer, E., NG, J. and Lovell, J. 1988. Methods for evaluating highway improvements. Transportation Research Record, 48-61.
Hemmila, Donna. 2004. Sex Appeal. Nurse Week, (January 14). IIHS, 2001. “Education Alone Won’t Make Drivers Safer. It won’t reduce crashes,” IIHS Status Report vol. 36, no. 5.
Institute of Transportation Engineers 2003. Making intersections safer: A toolbox of engineering countermeasures to reduce red-light running. Washington, DC.
Johnson, N., Kotz, S. and Balakrishnan, N. (1997). Discrete multivariate distributions. Wiley -New York.
Karlis, D and I. Ntzoufras. 2003. Analysis of sports data using bivariate Poisson models. The Statistician, 52: 381-393.
Kay, J. L., Neudorff, L. G. and Wagner, F. A. 1980. Criteria for removing traffic signals.
Federal Highway Administration report FHWA/RD-80/104. U.S. Department of Transportation, Washington, D.C.
Keeler, T. E. 1994. Highway Safety, Economic Behavior, and Driving Environment. The American Economic Review, 84(3): 684-693.
King G. 1989. A seemingly unrelated Poisson regression model. Sociological Methods and Research, 17: 235-255.
Kockelman, K. M. and Kweon, Y. 2001. Driver injury severity: An application of ordered Probit models. Working paper, accessed on 10/08/04 from http://www.ce.utexas.edu/prof/kockelman/
Kweon, Y. and Kockelman, K. M. 2003. Overall injury risk to different drivers: Combining exposure, frequency, and severity models. Accident Analysis and Prevention, 35(4): 313- 321.
Kulmala, R., 1994. “Measuring the Safety Effects of Road Measures at Junctions,” Accident Analysis and Prevention, Vol. 26. No. 4.
Levine, E., Bedard, M., Molloy, D. W., Basilevsky, A. 1999. Determinants of driver fatality risk in front impact object collisions. Mature Medicine Canada, 2: 239-242.
McCarthy, P.S., 1994. “An empirical-analysis of the direct and indirect effects of relaxed interstate speed limits on highway safety,” Journal of Urban Economics 36, 353–364.
McFadden, John and Hugh W. McGee, 1999. “Synthesis and Evaluation of Red Light Running Automated Enforcement Programs in the United States,” USDOT Publication # FHWA-IF-00-004.
McGee, H. W. and Eccles, K. A. 2003. “The impact of red-light camera enforcement on crash experience,” ITE Journal, 73(3), 44-48.
Michener, R. and Tighe, C. 1992. A Poisson regression model of highway fatalities. The American Economic Review, 82(2): 452-456.
Milton, J. and Mannering, F. 1998. The relationship among highway geometries, traffic related elements and motor-vehicle accident frequencies. Transportation, 25: 395-413.
Mohamedshah, Y. M., Chen, W., and Council, F. M. 2000. Association of selected intersection factors with red-light running crashes. Presented at the Institute of Transportation Engineers.
National Highway Traffic Safety Administration. 2000. The economic impact of motor vehicle crashes 2000. U.S. Department of Transportation, NHTSA, Washington, D.C.
Neudorf, L. G. 1978. relationship between the removal of traffic signals and intersection accidents. Transportation Engineering, 0: 16-20.
Newstead, Stuart V., Maxwell H. Cameron, and L. Mark W. Leggett, 2001. “The Crash Reduction Effectiveness of a Network-wide Traffic Police Deployment System,” Accident Analysis and Prevention 33.
Ossenbruggen, P., Pendharkar, J. and Ivan, J. 2001. Roadway safety in rural and small urbanized areas. Accident Analysis & Prevention, 33: 485-498.
Peltzman, S. 1975. The effects of automobile safety regulation. Journal of Political Economy, 83(4): 677-725.
Persaud, B., Hauer, E., Retting, R., Vallurupalli, R. and Mucsi, K. 1997. Crash reductions related to traffic signal removal in Philadelphia. Accident Analysis and Prevention, 29(6):803-810.
Poch, M., and Mannering, F. 1996. Negative binomial analysis of intersection accident frequencies. Journal of Transportation Engineering, 122(2): 105-113.
Skabardonis, Alexander, 2001. “ITS Benefits: The Case of Traffic Signal Control Systems,” TRB Paper No. 01-3286.
Tarawneh, Tarek M., Virenda A. Singh, Patrick McCoy, and Mohammed S. Tarawneh, 2001. “Deterring Red Light Violations through Advertising and Enforcement,” TRB Paper No. 01-2555.
Troy, S.A, 2001. Memorandum to Area and Division Traffic Engineers, NCDOT, Dec. 3. Found at www.doh.dot.state.nc.us/preconstruct/traffic/safety/crashcosts.pdf.
Wang, Y., Ieda, H. and Mannering, F. 2003. Estimating rear-end accident probabilities at signalized intersections: Occurrence-mechanism approach. Journal of Transportation Engineering, July/August, 377-384.
Ward, N. J. and Wilde, G. J. S. 1996. Driver approach behaviour at an unprotected railway crossing before and after enhancement of lateral sight distances: An experimental investigation of a risk perception and behavioural compensation hypothesis. Safety Science , 22: 63-75.
Winkelmann, R. 2000. Seemingly unrelated negative binomial regression. Oxford Bulletin of Economics and Statistics, 62(4): 553-560.
Wooldridge, J. M. 2000. Introductory econometrics, a modern approach. United States: Southwestern College Publishing. 47
Zeeger, C. V., H.F. Huang, J.R. Stewart, R. Pfefer, and J. Wang, 1998. “Effects of a Towaway Reporting Threshold on Crash Analysis Results,” Transportation Research Record 1635, Transportation Research Board.
- Burkey, Mark L. and Obeng, Kofi Crash Risk Reduction at Signalized Intersections Using Longitudinal Data. (deposited 30 Jan 2012 05:46) [Currently Displayed]