Evaluating the spatial effects of environmental factors on urban crash frequencies using an Euclidian and contiguity-based spatial Bayes(Case study: Shiraz Metropolis)

Articles in Press

Document Type : Research Paper

Author

Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Abstract

The main goal of this study is to evaluate the spatial effects of environmental factors on the frequency of accidents in the city of Shiraz, Iran at the TAZ level. In the first step of the study, using component analysis models, important environmental factors affecting the accident were identified and composite indicators were produced as independent variables. In the second step, in order to control the effect of correlation and heterogeneity of model variables, spatial statistical models based on Euclidean distance such as geographically weighted Poisson regression (GWPR), geographically weighted negative binomial distribution (GWNBR) as well as Poisson and distribution models Negative binomial based on neighbor distance is used in spatial Bayes method with INLA approach. The results of the study showed that models based on distance and contiguity in order to evaluate the spatial effects of accident data and the factors affecting it at the TAZ level have higher accuracy than geographic weighted regression models, as well as indicators of land use diversity and access to the system. The public transport produced in the first step is effective in increasing the frequency of accidents, and in TAZs where this index is high, there is a higher probability of an accident. The results of this study can be important for city managers and planners in order to improve inner city safety measures as well as development planning and future city measures.

Keywords

International Journal of Transportation Engineering

Articles in Press, Accepted Manuscript
Available Online from 09 July 2023

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