网约车出行需求影响因素的时空异质性分析

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中图分类号：U491 文献标识码：A 文章编号：1673-9868（2026）03-0209-13

DOI： 10.13718/j. cnki. xdzk. 2026. 03.018

Temporal and Spatial Heterogeneity Analysis of the Influencing Factors of Demand for Ride-Hailing Trips

YIN Chaoying1， YU Fanyuan1， GE Yaoxia¹，SHAO Chunfu²， WANG Xiaoquan

1.Collegeof Automobileand Traffc Engineering，Nanjing Forestry University，Nanjing Jiangsu 210037，China; 2.Xinjiang Key Laboratory of Green Construction and Smart Traffc Control of Transportation Infrastructure， Xinjiang University，Urumqi Xinjiang 830017，China； 3.College of Civil and Transportation Engineering，Hohai University，Nanjing Jiangsu 210098，China

Abstract： To investigate the relationship between the built environment and ride-hailing travelling demand， this paper constructed a geographically weighted poisson regression （GWPR）model. Utilizing the ride-hailing order data and multisource heterogeneous built environment data from Nanjing，the heterogeneous effects of various built environment variables on ride-hailing travel demand are examined across temporal and spatial dimensions. The results demonstrated that the GWPR model exhibited superior goodness-of-fit compared to the conventional geographically weighted regression model， with Akaike information criteria corrected （AICc） values decreasing by 53.07% ， 32.50% ，and 40.09% during off-peak，morning peak， and evening peak periods，respectively. The regresson coeficients of the same independent variable varied across diffrent time periods and spatial units， highlighting the spatiotemporal heterogeneity of factors influencing ride-hailing travel demand. In the density dimension，the average regression coeficients of the number of tourist attractions in the three periods were negative，indicating a negative correlation with ridehailing demand.In the design dimension，proximity to roads influenced ride-hailing demand，with higher road proximity inhibiting increased demand. As for accessbility and diversity，the results showed that distance to metro stops and land use diversity inhibit the demand for ride-hailing trips.

Key words： demand for ride-hailing trips; spatiotemporal heterogeneity;built environment; Geographically Weighted Poisson Regression

网约车作为一种新兴出行方式，逐渐成为居民日常出行的重要组成部分。（剩余10939字）