交通运输工程与信息学报2025，Vol.23Issue(2)：16-31,16.DOI:10.19961/j.cnki.1672-4747.2024.10.016
考虑交互效应的建成环境对网约车时空分异影响分析
Effect of built environment considering interaction effect on spatiotem poral differentiation of online car-hailing trips
摘要
Abstract
[Objective]To investigate the interactive effects of different built-environment factors on online ride-hailing trips and to clarify the effects of significant factors on the spatial heterogeneity of online ride-hailing trips.[Data]Didi travel data and multisource geospatial data(worldpop popula-tion data,road network data,grid GDP(Gross Domestic Product)data,and POI(Point of Interest)da-ta)from Haikou are used to construct the built-environment indicators from six dimensions:density,design,diversity,distance to transit,destination accessibility,and socioeconomic attributes.[Meth-ods]First,an optimal parameter geographic detector model(OPGD)is used to analyze the indepen-dent and interactive effects of factors on online ride-hailing trips.Subsequently,spatial autocorrela-tion and multiscale geographically weighted regression(MGWR)models are used to identify the spa-tiotemporal heterogeneity of the built environment on online ride-hailing trips during different peri-ods on weekdays and weekends.[Conclusions]The OPGD model shows that mixed-land use and per capita GDP minimally affect online ride-hailing trips,and that the interaction between catering,residential areas,and other factors can significantly improve the explanatory power of the effect on online ride-hailing trips.The MGWR model identifies significant influencing factors that exhibit clear spatial heterogeneity in their effect on online ride-hailing trips.[Application]The results can provide suggestions for urban management and planners and support the optimization of online ride-hailing travel.关键词
城市交通/交互效应/地理探测器/网约车出行/地理加权回归/建成环境Key words
urban traffic/interaction effects/geographic detectors/online ride-hailing/geographically weighted regression/built environment分类
交通运输引用本文复制引用
毛新博,高歌,李甜,陈蓉,潘发辉,刘硕..考虑交互效应的建成环境对网约车时空分异影响分析[J].交通运输工程与信息学报,2025,23(2):16-31,16.基金项目
山东省自然科学基金项目(ZR2023MG008) （ZR2023MG008）
