Prioritization of Suburban Accident Factors Based on Analytical Network Process

Document Type: Research Paper

Authors

1 Assistant Professor, Department of Civil Engineering, Malayer University, Malayer, Iran

2 Professor, Department of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran

3 Assistant Professor, Department of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran

4 M.Sc. Graduate, Department of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran

5 M.Sc. Graduate, Department of Civil Engineering, Urmia University, Urmai, Iran

Abstract

The safety management of transportation system leads to decrease in a number of traffic accidents. Identification of the primary reasons in accident incidence is the initial step in controlling the crashes. The source of accidents is divided into 3 groups; namely, human, environment and traffic. Due to the complex nature of traffic accidents, Multi-Criteria Decision-Making (MCDM) methods can be considered as an efficient approach. The main objective of the paper was to use analytical network process (ANP) to evaluate the interaction of human, traffic and road related parameters in occurrence of accidents. ANP is the extended form of analytical hierarchy process (AHP). AHP simulates a decision problem into a hierarchy consists of a goal, decision criteria, and alternatives, while the ANP structures that as a network. Next step is to use pair wise comparisons to calculate the weights of the components of the structure, and to rank the alternatives in the decision. The power of the ANP lies in its use of ratio scales to capture all kinds of interactions and make accurate predictions. In this paper, using ANP structure, instead of pair wise comparison made by experts’ opinion in calculation of the weight of components; statistic analysis as well as frequency of effective parameters in accident occurrence, were utilized where statistics was available. This was resulted in more accurate outcomes.  Sub-urban accidents data in the length of 945 km of Hamedan province in three-year period was considered as a case study. As a result, although most of the researchers are of the idea that the human plays a crucial role in crash occurrence, road factors had higher priority. Factors such as curvature and grade were more effective than human characteristics. Furthermore, it was concluded that, Condition curvature (0-100) degree per kilometer and grade (0-3%) had higher risk of accidents.

Keywords


- Abdullah, L. and Zamrim, Nurnadiah (2010) “Ranking of the factors associated with road accidents using correlation analysis and fuzzy TOPSIS”, Australian Journal of Basic and Applied Sciences, Vol.4, No. 2, pp. 314-320.

- Boroujerdian, A. M., Saffarzadeh, Mahmoud and Yousefi, H. (2014) “A model to identify high crash road segments with the dynamic segmentation method”, Accident Analysis and Prevention, Vol. 73, pp. 274–287.

- Broujerdian, A. M., Dehqani S. P. and Fetanat, M (2015) “Estimation Model of Two-Lane Rural Roads Safety Index According to Characteristics of the Road and Drivers’ Behavior”, International Jornal of Transportation Engineering (IJTE),Vol 3, No. 1, pp. 17-29

- Cardamone, A. S., Eboli, L. and Mazzulla, G. (2014) “La propensione dei conducenti verso l’utilizzo dei sistemi informativi e di telecomunicazione per il miglioramento della sicurezza stradale. Proceedings of" Mobilità, traffico e sicurezza stradale”, 193-202. http://polaris.unical.it/user/report/visualizzacurriculum.php3?IDutente=1835855296

- Clarke, D. D., Ward, Patrick, Bartle, Craig and Truman, Wendy (2006) “Young driver accidents in the UK: The influence of age, experience, and time of day”, Accident Analysis and Prevention, Vol. 38, No. 5, pp. 871-878.

- Coll, Bronagh., Moutari, Salissou. and Marshall, Adele H. (2013) “Hotspots identification and ranking for road safety improvement: An alternative approach, Accident Analysis and Prevention”, Volume 59, October 2013, pp. 604–617.

- Dissanayake, S (2004) “Comparison of severity affecting factors between young and older drivers involved in single vehicle crashes”, IATSSResearch, Vol. 28, No 2, pp. 48-54.

- Horrace, William C. and Keane, Thomas P. (2004) “Ranking and selection of motor carrier safety performance by commodity”, Accident Analysis and Prevention, Volume 36, Issue 6,  pp. 953–960.

- Hsu, P. and Kuo, Min-Hua (2011) “Applying the ANP Model for Selecting the Optimal Full-service Advertising Agency”, International Journal of Operations Research Vol.8, No. 4, pp. 48-58.

- Iragüen, P, and de Dios Ortúzar, Juan (2004) “Willingness-to-pay for reducing fatal accident risk in urban areas: an Internet-based Web page stated preference survey”, Accident Analysis and Prevention, Vol. 36, No. 4, pp. 513-524.

- Jamson, S., Wardman, M., Batley, R. and Carsten, O. (2008) “Developing a driving Safety Index using a Delphi stated preference experiment”, Accident Analysis and Prevention, Vol. 40, pp. 435-442.

- Lambert-Bélanger, A., Dubois, S., Weaver, B., Mullen, N. and Bédard, M (2012) “Aggressive driving behavior in young drivers (aged 16 through 25) involved in fatal crashes”, Journal of Safety Research, Vol. 43, pp. 333-338.

- Meade, l. and Sparkis, Joseph (1998a) “Justifying strategic alliances and partnering: a prerequisite for virtual enterprising”, Omega, Vol. 25, No. 1, pp. 29-42.

- Meade, l. and Sparkis, Joseph (1998b) “Strategic analysis of logistics and supply chain management systems using the analytical network process”, Transportation Research Part E: Logistics and Transportation Review, Vol. 34, No. 3, pp. 201-215.

- Najib, L., Abdullah, Lazim., Abdullah, Ilyani and Salleh, Zabidin (2012) “Weights of Road Accident Causes using Analytic Hierarchy Process”, ARPN Journal of Science and Technology, Vol. 2, No. 2.

- Oña, J. D., Oña, Rocio de, Eboli, Laura, Forciniti, Carmen, Machado, José, Luis and Mazzulla, Gabriella (2014) “Analyzing the relationship among accident severity, drivers’ behaviour and their socio-economic characteristics in different territorial contexts”, XI Congreso de Ingenieria del Transporte (CIT 2014), Social and Behavioral Sciences, Vol. 160, pp. 74 – 83.

- Rizzi L. I. and de Dios Ortúzar, Juan (2003) “Stated preference in the valuation of interurban road safety”, Accident Analysis and Prevention, Vol. 35, No. 1, pp. 9-22.

- Saaty T. L. (1980) “The Analytic Hierarchy Process”, McGraw-Hill Book Co., New York.

- Saaty T. L. (1990) “How to make decision: The Analytic Hierarchy Process”, European Journal of Operational Research, pp. 489-26.

-  Saaty T. L. (2001) “The analytic network Process”, McGraw-Hill Book Co., New York.

-  Saaty, T. L. (1996) “The analytic network process”, RWS Publications, Expert Choice, Inc.

- Sadeghi, A., Ayati, E. and Pirayesh Neghab, M. (2013) “Identification and prioritization of hazardous road locations by segmentation and data envelopment analysis approach”, PROMET-Traffic and Transportation, Vol.25, No.2, pp. 127-136.

- Tractinsky, N., Soffer Ram, Efrat and Shinar, David (2013) “To call or not to call-That is the question (while driving)”, Accident Analysis and Prevention, Vol. 56, pp. 59-70.

- Treat, J. R., Tumbas, N. S., McDonald, S. T., Shinar, D., Hume, R. D., Mayer, R. E., Stansifer, R. L., Castellan Stanisfer, N. J.  and.Castellanb, N. J. (1979) “Tri-level Study of the Causes of Traffic Accidents”, Report No. DOT-HS-034-3-535 (TAC).

- Wang, B., Hensher, David and Ton, Tu (2002) “Safety in the road environment: a driver behavioral response perspective”, Transportation, Vol. 29, pp. 253-270.

- Wang, Xuesong., Wang, Ting., Tarko, Andrew and Tremont, Paul J. (2015) “The influence of combined alignments on lateral acceleration on mountainous freeways: A driving simulator study”, Accident Analysis and Prevention, Volume 76, March 2015, Pages 110–117.

- World Health Organization (2016)  “World report on road traffic injury prevention”, WHO, Geneva.

- Yannis, G., Kanellopoulou, Aggeliki,  Aggeloussi, Kallia and Tsamboulas, Dimitrios (2005) “Modelling driver choices towards accident risk reduction”, Safety Science, Vol. 43, No. 3, pp. 173-186.