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原文传递 Exploring the Spatially Heterogeneous Effects of Urban Built Environment on Road Travel Time Variability
题名: Exploring the Spatially Heterogeneous Effects of Urban Built Environment on Road Travel Time Variability
正文语种: eng
作者: Shaopeng Zhong;Zhong Wang;Quanzhi Wang;Ao Liu;Jianqiang Cui
作者单位: School of Transportation and Logistics Dalian Univ. of Technology Dalian 116024 China;School of Transportation and Logistics Dalian Univ. of Technology Dalian 116024 China;School of Transportation and Logistics Dalian Univ. of Technology Dalian 116024 China;School of Transportation and Logistics Dalian Univ. of Technology Dalian 116024 China;School of Environment and Science Griffith Univ. Nathan Brisbane QLD 4111 Australia
关键词: Urban built environment; Road travel time variability; Spatial heterogeneity; Geographically weighted regression (GWR) model; Floating car data
摘要: Most studies of road travel time estimation have been based on traffic-flow theory or data-driven methods and generally neglect the influence of urban built environment on road travel time. A global regression model and a geographically weighted regression model were thus established to analyze the spatial heterogeneity of the effects of urban built environment on road travel time. The estimated results of the global regression model indicate that the occupancy rate of taxis, the distance from the nearest intersection, and the speed limit show positive correlations with a road's travel speed, whiles the number of bus stops and the distance from the nearest school show negative associations with the travel speed of the road. Furthermore, based on the results of the geographically weighted regression model, the spatially varying relationships between urban built environment and road travel time can be established, thus providing important information for decision-makers to reduce road travel time by adjusting the attributes of urban built environment.
出版年: 2021
期刊名称: Journal of Transportation Engineering
卷: 147
期: 1
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