建成环境对网约车出行需求时空异质性影响研究

——以上海市为例

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中图分类号：U491 文献标识码：A文 章 编 号：1673 9868（2025）06 018 13

Abstract：Toinvestiatetheinteractionbetwenthebuiltenvironmentandtraveldemandofonlinecar-hailing，thisstudyutilizedShanghaisonlinecar-hailingorderdataandconstructedtheurbanbuiltenvironment indicators with 24 parameters， including population， road， and POI densities， and distance to transit.Amulti-scalegeographicalyweightedregresion（MGWR）modelwasdevelopedforthethre periods ofpeakhoursofmorning，nonandafternononwekdaysandwekends，consideringadaptivebandwidthsofinfluencingfactors，andtoexplorethespatiotemporalheterogeneityoftheimpactofbuiltenvironmentonthetraveldemandofonlinecar-hailin .Resultsindicatedthattheinterretin abilit of MGWRmodelforonlinecar-hailingdemandupedto 77.1% ，whichwas0.426morethantheOLSmodel and0.082morethantheGWR model，showin abeterfitin efect.Subwa stationsandsub-branch roads density showed higher spatial heterogeneity on the demand of online car-hailing. During morning rush hours of wekdays and wekends， suburban busines residential areas and subway stations had a strongerpositiveefectononlinecar-hailingdemand.Duringeveryperiodofrushhours，thepositive impactononlinecar-hailingdemandbysub-branchroadsdensityofcitycenterwasgeneralygreaterthan otherareas，andthefactorsofbuiltenvironmentneartheinternationalairportsalsohadagreaterpositive influenceononlinecar-hailingdemand，andtheimpactofHongqiaoAirportwasslightlyhigherthanthat ofPudongAirport.

Keywords：traveldemandofonlinecar-hailing;builtenvironment;spatialheterogeneity;multi-scalegeographicalyweightedregresion

随着实时空间信息技术的不断发展，网约车出行成为现代个性化出行的一种重要方式。（剩余11373字）