文章编号： 1672-5328（2025）01-0026-07

于泳波
(南京市城市与交通规划设计研究院股份有限公司，江苏南京210018)

摘要： 基于手机信令数据分析南京地铁通勤服务的空间范围和人群特征。首先，分析了采用地铁通 勤的居民职住分布总体特征，并对比了地铁与其他交通方式通勤距离的差异。其次，基于通勤乘客 职住地点与地铁站的距离分布，对南京地铁车站进行聚类，得到每一类车站的服务空间范围特征。 最后，提取职住分布特征、通勤距离特征、居住地房价特征，构建多元回归模型，分析地铁车站服 务人群特征。结果表明：地铁车站的布局综合考虑了职住分布，更接近就业岗位密集区；尽管居住 地在空间分布上相对分散，但少数几个车站通勤进站客流量远超过其他车站；就业岗位分布相对集 聚，但大部分车站通勤出站客流量相对均衡；中心城区内车站通勤服务范围相对较小，外围区域车站 通勤服务范围相对较大；规划中的地铁线路与车站可覆盖部分现状接驳距离较长的区域；职住不在 同一地铁车站服务范围、通勤距离超过6 km、小区二手房价格较低的居民使用地铁通勤的意愿更强。

关键词： 城市轨道交通；通勤服务范围；聚类分析；多元回归模型；手机信令数据；通勤距离；南 京市

中图分类号： U491.1+7

文献标识码：A

Spatial Scope and Population Characteristics of Nanjing Subway Commuting Services

YU Yongbo
(Nanjing Institute of City & Transport Planning Co., Ltd., Nanjing Jiangsu 210018, China)

Abstract： Based on the analysis of mobile signaling data, this paper examines the spatial scope and population characteristics of Nanjing subway commuting services. Firstly, the overall characteristics of the jobhousing distribution of subway commuting passenger are analyzed and a commuting distance comparison between subway and other travel modes is conducted. Secondly, all subway stations are clustered based on the distance distribution between commuters' job-housing locations and subway stations, and the service space range characteristics of each type of station are obtained. Finally, the distribution characteristics of job-housing distribution, commuting distance, and housing price of residence are extracted to build a multiple linear regression model, analyzing the characteristics of subway service commuting population. The results indicate that the layout of subway stations comprehensively considers the job- housing distribution, and has a higher spatial matching for job positions. Although residential areas are relatively dispersed in terms of spatial distribution, there are a few subway stations with much more volume of commuting passengers than others. Job distribution is relatively concentrated, but most subway stations have relatively balanced passenger volumes. The commuting service range of subway stations in the central urban area is relatively small, while commuting service range of stations in the peripheral areas is relatively large; the planned subway lines and stations can cover some areas with longer connecting distances. Residents whose job and residence are not in the service range of the same subway station, have a commuting distance exceeding 6 km, and live in areas with relatively low second-hand housing prices have a stronger willingness to commuting by subway.

Keywords： urban rail transit; scope of commuting services; cluster analysis; multiple regression model; mobile signaling data; commuting distance; Nanjing