Using the spatial-temporal method to reduce accidents in big cities using the logit model

Document Type : Original Article

Authors
Shahriar Afandizadeh 1
Mohammadreza Nikoomanesh 2
Hamid Bigdeli Rad 3
1 Professor, School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran
2 M.Sc., Student, Islamic Azad University, Science and Research Branch, Tehran, Iran
3 Ph.D., Candidate, School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran.
10.22034/road.2024.430517.2229
Abstract
One of the purposes of the journey that takes place in inner-city routes is to transport goods with light cargo vehicles because heavy cargo vehicles are not allowed to travel in inner-city areas. By investigating the accidents in the city, it was found that cargo vehicles are involved in many accidents, even if they are not among the accident vehicles themselves. Due to their size and dimensions, the type of work (unloading and loading), parking in inappropriate places, etc., cargo vehicles cause disruption of urban order and decrease safety. The current research examines the impact of these cars in reducing safety and their contribution to causing accidents. In order to carry out research, the factors affecting accidents have been summarized and ranked using hierarchical analysis process methods. After analyzing and evaluating the results of the research, it was stated that light cargo vehicles should be managed in terms of the time of entering the inner city limits and the routes they use, and they cannot use any route at any time. This management method has been introduced as the spatiol-temporal method, which was chosen according to the goals and assumptions as well as the necessity of the results presented in this research. The results of the research include the determination of the most important factors of light cargo vehicle accidents and accident-prone areas of Isfahan city. Also, in order to reduce the accidents of cargo vehicles, a plan for space and time restrictions has been presented.
Keywords
Traffic Accidents
Light Cargo Vehicles
Spatio-Temporal Method
Logit Model
 
 
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