Safety Effectiveness Evaluation of Road Lighting Projects in Rural Roadways

Document Type : Research Paper

Authors

IKIU

Abstract

The problem of road lighting during the night hours is an influential factor on road crashes. Usually, a smaller share of trips is performed in darker hours of the night, but these hours are exposed to a large part of road crashes. The objective of this study is to determine the Crash Modification Factor for nightly crashes following the installation of lighting systems in rural roads. In this study, by comparing the data related to the frequency of crashes before and after the application of lighting equipment in the considered segments, the safety effectiveness of lighting in rural roads was measured by before-after study using the Empirical Bayesian method and the CMF for implementing the lighting supply operation was calculated. According to the data adopted from Road Maintenance and Transportation Organization, in several roadways located in three provinces of Guilan, Golestan and Semnan in 2014, light poles were installed, in which 35 segments in multi-lane roadways and 12 segments in two-way two-lane roadways were selected as treatment sites. Resulted by the EB method, the CMF value with the 95 percent significance level was estimated 0.226 for multi-lane segments and 0.445 for two-way two-lane segments. This significant effect of lighting projects was measured only for nightly crashes and in road locations where known as eligible due to the effects of adverse weather condition like the foggy mountainous roads.

Keywords


- حقیقی، فرشیدرضا، شهبازی، شروین، 1395. "مدل ارزیابی شدت تصادفات در میدان‌ها (مطالعه موردی شهر تهران)". مهندسی حمل­ونقل. دوره 7، شماره 3، ص. 435-448.
- Geedipally, S. R., Lord, D., & Park, B. J. (2009) “Analyzing different parameterizations of the varying dispersion parameter as a function of segment length”. Transportation research record 2013, No. 1, pp.108-118.
 
- Gross, F., & Donnell, E. T. (2011) “Case–control and cross-sectional methods for estimating crash modification factors: Comparisons from roadway lighting and lane and shoulder width safety effect studies”. Journal of safety research, Vol. 42, No. 2, pp. 117-129.
 
- Elvik, R., Amundsen, F. H., & Hofset, F. (2004) Road safety effects of bypasses. Transportation Research Record 1758, No. 1, pp. 13-20.
 
- Harwood, D.W., Bauer, K.M., Richard, K.R., Gilmore, D.K., Graham, J.L., Potts, I.B., Torbic, D.J., Hauer, E. (2007) “Methodology to Predict the Safety Performance of Urban and Suburban Arterials”, NCHRP Web-only Document 129, TRB, Washington, DC.
 
- Heydari, M. (2016) “Justifying and Prioritizing Roadway Lighting: A Case Study of Quebec Highways (Doctoral dissertation, Concordia University).
 
- Hilbe, J.M., (2011). Negative binomial regression. Cambridge University Press.
 
- Isebrands, H. N., Hallmark, S. L., Li, W., McDonald, T., Storm, R., & Preston, H. (2010) “Roadway lighting shows safety benefits at rural intersections”. Journal of Transportation Engineering, Vol. 136, No. 11, pp.949-955.
 
- Jackett, M., & Frith, W. (2014) “Quantifying the impact of road lighting on road safety—A New Zealand Study”. IATSS research, Vol. 36, No. 2, pp. 139-145.
 
- Ligato, Wu. & Dominique, L. (2017). Examining the influence of link function misspecification in conventional regression models for developing crash modification factors. Accident Analysis and Prevention 102 (2017) 123–135.
- Makela, O., & KARKI, J. (2004) “Impact of road lighting on road safety and driving speeds”. TIEHALLINNON SELVITYKSIA, FINNRA REPORTS, (18).
 
- Markvica, K. Richter., & Lenz, G. (2019). Impact of urban street lighting on road users’ perception of public space and mobility behavior. Building and Environment 154 (2019) 32–43.
 
- National Research Council (US). Transportation Research Board. Task Force on Development of the Highway Safety Manual, & Transportation Officials. Joint Task Force on the Highway Safety Manual. (2010). Highway safety manual (Vol. 1). AASHTO.
 
- Pulido, J., Barrio, G., Hoyos, J., Jiménez-Mejías, E., del Mar Martín-Rodríguez, M., Houwing, S., & Lardelli-Claret, P. (2016). The role of exposure on differences in driver death rates by gender and age: results of a quasi-induced method on crash data in Spain. Accident Analysis & Prevention, 94, 162-167.
 
- ROSPA (2017) “Street Lighting and Road Safety”. Royal Society for the Prevention of Accidents.
- Sasidharan, L., Donnell, E.T. (2013) “Application of Propensity Scores and Potential Outcomes to Estimate Effectiveness of Traffic Safety Countermeasures: Exploratory Analysis using Intersection Lighting Data”, Accident Analysis and Prevention. 50, pp. 539-553.
 
- TAC, 2004 “The Canadian Guide to in service Road Safety Reviews”. Transportation Association of Canada. Ottawa.
 
- Thomas, H., Andrew, P, T. (2019). Adequacy of negative binomial models for managing safety on rural local roads. Accident Analysis and Prevention 128 (2019) 148–158.
 
- Wanvik, P. O. (2009) “Effects of road lighting: an analysis based on Dutch accident statistics 1987–2006”. Accident Analysis & Prevention, Vol. 41, No. 1, pp.123-128.
- Yannis, G. Kondyli, A. Mitzalis, N. (2013) Proceedings of the Institution of Civil Engineers, Transport, Issue TR5. 166, pp. 271-281.