Study on the Impact of Road Traffic Accident Duration Based on Statistical Analysis and Spatial Distribution Characteristics: An Empirical Analysis of Houston

Xu Sun (), Hanxiao Hu, Shuo Ma, Kun Lin, Jianyu Wang and Huapu Lu
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Xu Sun: School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Hanxiao Hu: Institute of Highway, Chang’an University, Xi’an 710129, China
Shuo Ma: School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Kun Lin: Fuzhou Planning and Design Research institute Group Co., Ltd., Fuzhou 350108, China
Jianyu Wang: School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Huapu Lu: Institute of Transportation Engineering, Tsinghua University, Beijing 100084, China

Sustainability, 2022, vol. 14, issue 22, 1-14

Abstract: In this study, factors affecting crash duration and geostatistical analysis were examined using traffic crash data from Houston, USA. Significant factors affecting road crash duration included 14 independent factors related to time, roadway, and environment. Delays caused by traffic crashes were used as an indicator to assess the impact of traffic crashes of different severity on the roadway network. In addition, the spatial distribution characteristics of the different values corresponding to each key impact factor under different scenarios in the region were studied using ArcGIS kernel density analysis techniques. This is because the combination of these two methods is more operational and understandable. The results show that accidents are more likely to occur at night and on holidays, that accidents last longer after they occur in residential areas, and that accident duration varies near different road facilities. This study may provide a reference for targeted management and improvement measures for road safety.

Keywords: traffic crashes; multinomial logit models; kernel density analysis; duration (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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