Affiliation:
1. School of Automobile and Transportation, Tianjin University of Technology and Education, Tianjin 300222, China
2. JIAOKE Transport Consultants Ltd., Beijing 100191, China
3. Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China
4. Research Institute of Highway Ministry of Transport, Beijing 100088, China
Abstract
In this research, 3356 alcohol-related traffic crashes were obtained from blood-alcohol test reports in Tianjin, China. Population density, intersection density, road density, and alcohol outlet densities, including retail density, entertainment density, restaurant density, company density, hotel density, and residential density, were extracted from 2114 traffic analysis zones (TAZs). After a spatial autocorrelation test, the multiple linear regression model (MLR), geographically weighted Poisson regression model (GWPR), and semi-parametric geographically weighted Poisson regression model (SGWPR) were utilized to explore the spatial effects of the aforementioned variables on drunk-driving crash density. The result shows that the SGWPR model based on the adaptive Gaussian function had the smallest AICc value and the best-fitting accuracy. The residential density and the intersection density are global variables, and the others are local variables that have different influences in different regions. Furthermore, we found that the influence of local variables in the economic–technological development area shows significantly different characteristics compared with other districts. Thus, a comprehensive consideration of spatial heterogeneity would be able to improve the effectiveness of the programs formulated to decrease drunk driving crashes.
Funder
Science and Technology Commissioner Project of Tianjin
Transportation Science and Technology Development Project of Tianjin
Scientific Research Project of Tianjin Education Commission
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Cited by
1 articles.
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