轨道站点地区居民出行方式结构差异及影响因素* ——基于手机信令数据的武汉实证
Travel Mode Structure and Influencing Factors in Rail Station Areas: An Empirical Study of Wuhan Based on Mobile Signaling Data
徐 涛
武汉理工大学土木工程与建筑学院 副教授，硕士生导师，xutaowhu@126.com
张云祥
武汉理工大学土木工程与建筑学院 硕士研究生
摘要: 我国城市轨道交通建设促进居民绿色出行行为的效应和机制仍不明晰。基于手机信令数据，分析武汉市轨道站点地区 居民出行方式构成空间差异及不同交通方式分担率的影响因素，探讨站点地区分类型规划调控策略，主要得出以下结 论：第一，武汉市轨道交通站点地区的常规公交、轨道交通分担率与慢行分担率呈现此消彼长的态势，轨道交通与常规 公交分担率呈协同变化趋势，而小汽车分担率空间差异不明显。第二，从影响要素来看，轨道站点网络中心性特征对促 进人口选择公交出行、减少小汽车出行具有显著积极作用，建成环境要素对慢行分担率、轨道交通分担率影响作用呈 现显著差异，小汽车出行分担率主要受人口社会经济特征影响。第三，将城市轨道交通站点地区聚类划分为3大类、8个 子类型站点，出行方式构成和关键影响因素具有差异，探讨针对性规划策略以提升轨道站区绿色交通效应。
Abstract: The effects and mechanisms of urban rail transit development on promoting residents' active travel behaviors remain unclear. Based on mobile phone signaling data, this study analyzes the spatial differences in travel mode structure and influencing factors of mode share rates in Wuhan's rail station areas, proposing planning strategies. The main findings are as follows. First, conventional bus and rail transit mode shares in Wuhan's station areas exhibit a competitive relationship with non- motorized transport (NMT) shares, while demonstrating synergistic trends between rail and bus modes. Together, they form the core of public transportation dominance, whereas spatial variation in private car usage remains statistically insignificant. Second, network centrality metrics of rail stations significantly promote public transport adoption and reduce car dependency. Built environment characteristics differentially influence NMT and rail transit shares, while car usage primarily correlates with socioeconomic attributes. Third, through hierarchical clustering analysis based on travel mode structure and key influencing factors, three major categories with eight subtypes of stations are identified. To enhance the traffic regulation effect of rail transit, targeted TOD planning strategies should be implemented.
关键词：轨道交通站点地区；出行方式结构；影响因素；手机信令数据
Keyword: rail station areas; travel mode structure; influencing factors; mobile signaling data
中图分类号：TU984
文献标识码: A
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