International Journal of Transportation Engineering

International Journal of Transportation Engineering

How to choose Hazard perception test scenarios in Rapid bus transit routes? A ranking study

Document Type : Research Paper

Authors
Department of Geotechnic and Transportation / Faculty of Civil Engineering, Water and Environment / Shahid Beheshti University of Tehran
Abstract
Traffic safety and behavioral studies have long been critical areas of focus in urban transportation research. Among behavioral studies, hazard perception in driving has been identified as a key factor in reducing road accidents and improving overall traffic safety. In recent years, with the rise in accident statistics, hazard perception models have gained significant attention and are increasingly being implemented across various countries. This study explores the prioritization of hazards using the MABAC (Multi-Attributive Border Approximation Area Comparison) method for application in hazard perception test scenarios, alongside examining the factors influencing hazard perception among city bus drivers. To achieve this, drivers operating on one of Tehran's busiest and most accident-prone bus routes, specifically the Khavaran-Azadi route, were analyzed. The findings reveal that the crossing of motorcyclists and pedestrians into bus lanes is the highest-priority hazard to be incorporated into hazard perception tests for bus drivers. The results of this research can be applied to enhance hazard perception and prediction tests for city bus drivers, improve driver evaluation and training programs, and increase the safety of dedicated bus lanes.
Keywords

- Ābele, L., Haustein, S., Møller, M., & Martinussen, L. M. (2018). Consistency between subjectively and objectively measured hazard perception skills among young male drivers. Accident Analysis & Prevention, 118, pp. 214-220.
 
- Abolfathi, S., Saffarzadeh, M., Mirzahossein, H., & Hosseinian, S. M. (2022). Signalized intersection delay analysis using transit signal priority (TSP) and dedicated short-range communication (DSRC) system for bus rapid transit (BRT). Innovative Infrastructure Solutions, 7(5), pp. 293.
 
-Asadamraji, M. (2022). Novel index of budget allocation to practical projects of intelligent transportation systems in a transit corridor. International Journal of Transportation Engineering, 9(3), pp. 735-747.
 
- Asadamraji, M., Ross, V., & Yarahmadi, A. (2024). A novel hazard avoidance model based on young drivers’ characteristics: A driving simulator study. Applied Neuropsychology: Adult, 31(6), pp. 1169-1179.
 
- Asadamraji, M., Mahmoudabadi, M., & Nadimi, N. (2024). Developing a Hybrid Method for Weighted Distance-Based Prioritization (HWDP) to Prioritize the Implementation of Urban Intelligent Transportation Systems Projects. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 48(2), pp.1061-1071.
 
- Asadamraji, M. (2022). Novel index of budget allocation to practical projects of intelligent transportation systems in a transit corridor. International Journal of Transportation Engineering, 9(3), pp. 735-747.
- Asadamraji, M. (2023). A multi-attributive border approximation area comparison solution for risk assessment of rock falls in rural mountainous roads. International journal of transportation engineering, 10(4), pp.1253-1266.
 
- Borowsky, A., Shinar, D., & Oron-Gilad, T. (2010). Age, skill, and hazard perception in driving. Accident Analysis & Prevention, 42(4), pp.1240-1249.
 
- Božanić, D. I., Pamučar, D. S., & Karović, S. M. (2016). Application the MABAC method in support of decision-making on the use of force in a defensive operation. Tehnika, 71(1), pp. 129-136.
 
- Cox, S. L., Miller, P. I., Embling, C. B., Scales, K. L., Bicknell, A. W., Hosegood, P. J., Morgan, G., Ingram, S. N., & Votier, S. C. (2016). Seabird diving behaviour reveals the functional significance of shelf-sea fronts as foraging hotspots. Royal Society Open Science, 3(9), 160317.
 
- Crundall, D., Van Loon, E., Baguley, T., & Kroll, V. (2021). A novel driving assessment combining hazard perception, hazard prediction and theory questions. Accident Analysis & Prevention, 149, 105847.
 
- Di Stasi, L. L., Diaz-Piedra, C., Morales, J. M., Kurapov, A., Tagliabue, M., Bjärtå, A., Megias, A., Bernhardsson, J., Paschenko, S., & Romero, S. (2020). A cross-cultural comparison of visual search strategies and response times in road hazard perception testing. Accident Analysis & Prevention, 148, 105785.
 
- Horswill, M. S. (2016). Hazard perception in driving. Current Directions in Psychological Science, 25(6), pp. 425-430.
 
- Kabir, M. F., & Roy, S. (2023). Hazard perception test among young inexperienced drivers and risk analysis while driving through a T-junction. Decision Making: Applications in Management and Engineering, 6(1), pp.1-17.
 
- Mirzahossein, H., Rassafi, A. A., Jamali, Z., Guzik, R., Severino, A., & Arena, F. (2022). Active Transport Network Design Based on Transit-Oriented Development and Complete Street Approach: Finding the Potential in Qazvin. Infrastructures, 7(2), 23. https://doi.org/10.3390/infrastructures7020023
 
- Rani, P., Mishra, A. R., Saha, A., Hezam, I. M., & Pamucar, D. (2022). Fermatean fuzzy Heronian mean operators and MEREC‐based additive ratio assessment method: An application to food waste treatment technology selection. International Journal of Intelligent Systems, 37(3), pp. 2612-2647.
 
- Shinar, D. (2017). Traffic safety and human behavior. Emerald Publishing Limited.
 
- Sheikholeslami, S., Boroujerdian, A. M., & Asadamraji, M. (2020). A Rural Road Accident Probability Model Based on Single‐Vehicle Hazard Properties including Hazard Color and Mobility: A Driving Simulator Study. Journal of advanced transportation, 2020(1), 8826374.
 
- Sheikholeslami, S., Saffarzadeh, M., Mamdoohi, A. R., & Asadamraji, M. (2023). How does a driver feel behind the wheel? An exploratory study of drivers’ emotions and the effect of their sociodemographic background. Accident Analysis & Prevention, 183, 106974.
 
- Shunmugapriya, K., Panneerselvam, B., Muniraj, K., Ravichandran, N., Prasath, P., - - Thomas, M., & Duraisamy, K. (2021). Integration of multi criteria decision analysis and GIS for evaluating the site suitability for aquaculture in southern coastal region, India. Marine Pollution Bulletin, pp.172, 112907.
 
- Zavadskas, E. K., Turskis, Z., & Tamošaitiene, J. (2010). Risk assessment of construction projects. Journal of civil engineering and management, 16(1), pp. 33-46.
 
- Zhu, D., Li, Z., & Mishra, A. R. (2023). Evaluation of the critical success factors of dynamic enterprise risk management in manufacturing SMEs using an integrated fuzzy decision-making model. Technological Forecasting and Social Change, 186, 122137.
 
- Statistical Research and Training Center; Available: https://srtc.ac.ir/en
 
- World Health Organization. (2023). Road traffic injuries. World Health Organization. Retrieved June 27, 2024, from https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries.