Daddah Donatien, Hounkpe Dos Santos Bella, Glèlè Ahanhanzo Yolaine
Epidemiology and Biostatistics Department, Regional Institute of Public Health, Ouidah, Benin.
Center for Research in Epidemiology, Biostatistics and Clinical Research, Public Health School (Université Libre de Bruxelles), Brussels, Belgium.
Risk Manag Healthc Policy. 2022 Jun 25;15:1271-1282. doi: 10.2147/RMHP.S362167. eCollection 2022.
The aim of this study was to determine, using geographic information system (GIS), the spatial characteristics and factors associated with injury crashes among vulnerable road users (VRUs) in Cotonou, Benin.
This study was based on road crash data collected by the police in Cotonou from 2008 to 2017. Spatial analyses were performed using density method of QGIS cartography software to identify road crash hotspot for VRUs. Logistic regression analysis was conducted using Stata 15 software. Finally, field observations were used to assess the physical characteristics of the road environment at each hotspot.
From 2008 to 2017, six main crash hotspots involving VRUs were identified on the roads of Cotonou. The majority were located at intersections of main roads. These sites did not meet the standards for traffic safety for VRUs. Factors associated with injury crashes among VRUs were intersections (adjusted odds ratio (aOR) = 3.3; 95% CI: 1.8-6.1) and pavement condition (aOR = 7; 95% CI: 2.9-17.1).
The present study has made it possible to identify the locations on Cotonou's road network where road safety interventions could be implemented to protect VRUs.
本研究旨在利用地理信息系统（GIS）确定贝宁科托努弱势道路使用者（VRU）中与伤害性撞车事故相关的空间特征和因素。
本研究基于2008年至2017年科托努警方收集的道路撞车事故数据。使用QGIS制图软件的密度法进行空间分析，以识别VRU的道路撞车事故热点。使用Stata 15软件进行逻辑回归分析。最后，通过实地观察评估每个热点处道路环境的物理特征。
2008年至2017年期间，在科托努的道路上确定了六个涉及VRU的主要撞车事故热点。大多数热点位于主要道路的交叉路口。这些地点不符合VRU的交通安全标准。与VRU伤害性撞车事故相关的因素是交叉路口（调整后的优势比（aOR）= 3.3；95%置信区间：1.8 - 6.1）和路面状况（aOR = 7；95%置信区间：2.9 - 17.1）。
本研究使得能够确定科托努道路网络上可以实施道路安全干预措施以保护VRU的位置。
