- 规划与建设
- 文章编号：1009-6000(2024)09-0100-07
- 中图分类号：[U-9] 文献标识码：B
- Doi：10.3969/j.issn.1009-6000.2024.09.015
- 项目基金：四川省重点研发计划项目（2024YFHZ0021）。
- 作者简介：薛锋，西南交通大学交通运输与物流学院，西南交通大学综合交通大数据应用技术国家工程实验室，副教授，博士生导师；郭东琦，内蒙古锦华路港物流有限责任公司铁路运输分公司； 张新宇，西南交通大学交通运输与物流学院。
- 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
- 薛锋 郭东琦 张新宇
- XUE Feng GUO Dongqi ZHANG Xinyu
- 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。 - 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 - Abstract: 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.
- Key words: station clustering; range of direct attraction; urban data mining; spatio-temporal geographical weighted regression model; built environment