建成环境对地铁节假日客流影响的时空异质性研究  

Spatio-Temporal Heterogeneity of the Influence of Built Environment on Metro Passenger Flow in Holidays

作　　者：薛锋[1,2] 郭东琦 张新宇 XUE Feng;GUO Dongqi;ZHANG Xinyu

机构地区：[1]西南交通大学交通运输与物流学院 [2]西南交通大学综合交通大数据应用技术国家工程实验室 [3]内蒙古锦华路港物流有限责任公司铁路运输分公司

出　　处：《现代城市研究》2024年第9期100-106,共7页Modern Urban Research

基　　金：四川省重点研发计划项目(2024YFHZ0021)。

摘　　要：地铁客流的时空特征与线网空间结构有较强相关性,因此明确建成环境对客流影响的时空异质性十分重要,时空异质性是指在不同时空状态下存在差异。文章以杭州地铁为实例,结合城市多源数据的挖掘与应用、构建建成环境因素集,建立了基于高德点阵分布法的4种车站聚类模型,结合最优聚类结果、基于时空地理加权回归模型细化时空维度,得出了6种建成环境因素对五一节假日、十一节假日客流在每日和每类车站的影响程度结论及原因分析。The spatial and temporal distribution characteristics of metro passenger flow have a strong correlation with the land use and spatial structure around the network,and therefore it is important to clarify the spatial and temporal heterogeneity of the built environment's influence on passenger flows.Spatio-temporal heterogeneity refers to the differences that exist in different spatio-temporal states.This thesis takes the Hangzhou metro as an example,combines the mining and application of urban multi-source data,constructs a built environment factor set,establishes four station clustering models based on the Gaudet point distribution method,combines the results of the optimal clustering,continues to refine the spatio-temporal dimensions based on the spatio-temporal geographically weighted regression model,and draws conclusions on the influence of six built environment factors on passenger flows during May Day holidays and National holidays on a daily basis and at each type of station,and analyzes the causes.

关 键 词：车站聚类 直接吸引范围 城市数据挖掘 时空地理加权回归模型 建成环境 

分 类 号：U-9[交通运输工程]