New Approaches in Civil Engineering

New Approaches in Civil Engineering

Modeling the Number of Urban Road Accidents Based on Built Environment Characteristics.

Document Type : Research Paper

Authors
Department of Civil Engineering, Faculty of Civil Engineering, Architecture and Art, Islamic Azad University, Science and Research Branch, Tehran, Iran.
Abstract
Urban traffic accidents are among the most significant safety and public health challenges in metropolitan areas, and the physical characteristics of the urban environment play a decisive role in their occurrence and severity. This study aims to analyze the relationship between the physical characteristics of streets and land use types with the number of urban accidents in Tehran during 2023. Accident data were obtained from the Traffic Police, while land use information and accessibility indices were collected from the Tehran Municipality and organized in a GIS environment. The research methodology is based on quantitative analysis and simple linear regression modeling for each independent variable separately. The results indicated that residential, commercial, and cultural–religious–tourism land uses have a positive and significant relationship with the increase in the number of accidents, whereas sports, educational, green space, and street network development land uses are associated with a reduction in accidents. Other land uses, including healthcare, administrative, industrial–transportation, and vacant lands, showed no significant relationship. The findings highlight the necessity of considering the type and extent of land use in traffic safety planning. It is recommended that corrective measures such as improving street design, managing vehicle stopping and movement, and enhancing pedestrian safety be implemented in high-risk land uses. Moreover, the development of green spaces, sports facilities, and street networks is suggested as an effective strategy for reducing the risk of urban accidents.
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1- Amiour, Y., Waygood, E. O. D., & van den Berg, P. E. (2022). Objective and perceived traffic safety for children: a systematic literature review of traffic and built environment characteristics related to safe travel. International Journal of Environmental Research and Public Health, 19(5), 2641. (in Persian)
2- Arefkhani, H., & Rahimi, H. (2021). Investigation of Factors Affecting the Severity of Train Accidents with Road Vehicles on Iranian Railways. 7th International Conference on Recent Advances in Railway Engineering. (in Persian)
3- Barry, K. (2018). More-than-human entanglements of walking on a pedestrian bridge. Geoforum.
4- Chen, Y., Yuan, R., Wei, J., & Li, S. (2023). Research on the influencing factors of elderly pedestrian traffic accidents considering the built environment. International Review for Spatial Planning and Sustainable Development, 11(1), 44-63.
5- Dundas, G. (2017, April). Pedestrian suspension bridge for Bibbulmun Track. In Austroads Bridge Conference, 10th, 2017, Melbourne, Victoria, Australia.
6- Ghafari, S., Hosseinali, F., & Mohammadi, R. (2021). Investigation and Prioritization of Factors Affecting Intercity Accidents Based on Clustering by Accident Location (Case Study: Sanandaj-Kamyaran Route). 2nd National Conference on Data Mining in Earth Sciences. (in Persian)
7- Ghorbani, B. K. (2006). Investigation of Human Factors in Road Safety Engineering. 7th Civil Engineering Congress, Tarbiat Modares University. (in Persian)
8- Montazer Saheb, M.* (2021). Investigation of Environmental Factors Affecting Urban Driver Accidents. Journal of Civil Engineering and Project, 2, 11-21. (in Persian)
9- Park, S., & Ko, D. (2020). A multilevel model approach for investigating individual accident characteristics and neighborhood environment characteristics affecting pedestrian-vehicle crashes. International Journal of Environmental Research and Public Health, 17(9), 3107.
10- Ranpise, R. B., Tandel, B. N., & Singh, V. A. (2021). Development of traffic noise prediction model for major arterial roads of tier-II city of India (Surat) using artificial neural network. Noise Mapping, 8(1), 172-184.
11- Samadpour Khalifeh Mahalleh, V.*, Shahgholi, M. S., & Rezaei, G. (2021). Identification of Factors Related to the Severity of Highway Accidents. Traffic Management Studies, 63, 115-145. (in Persian)
12 Tehran Grand Traffic Police. (2023). Urban Road Traffic Accident Database [Dataset]. Tehran: Rahvar Police. (in Persian)
13- Tehran Municipality, Urban Planning and Architecture Department. (2023). Land Use and Accessibility Indicators Database [Dataset]. Tehran: Tehran Municipality. (in Persian)
14-World Health Organization. (2025). Road traffic injuries. Retrieved from https://www.who.int/health-topics/road-safety/man-made-tragedy---spanish#tab=tab_1