测绘通报 ›› 2026, Vol. 0 ›› Issue (9): 27-33.doi: 10.13474/j.cnki.11-2246.2026.0904

• 城市遥感与空间数据分析 • 上一篇    下一篇

基于手机定位数据的城市居住、工作和活动空间格局及错位特征研究

柯日宏, 肖亮, 王璞   

  1. 中南大学交通运输工程学院, 湖南 长沙 410075
  • 收稿日期:2025-12-22 发布日期:2026-10-09
  • 通讯作者: 王璞。E-mail:wangpu@csu.edu.cn
  • 作者简介:柯日宏(1998—),男,博士生,研究方向为交通大数据挖掘与可视化。E-mail:kerihong@csu.edu.cn
  • 基金资助:
    湖南省教育厅科学研究项目(24A0016);中南大学研究生科研创新项目(1053320252421)

A study on the spatial patterns and spatial separation characteristics of urban residence,workplace,and activity spaces based on mobile phone positioning data

Ke Rihong, Xiao Liang, Wang Pu   

  1. School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China
  • Received:2025-12-22 Published:2026-10-09

摘要: [目的]针对城市居住、工作和活动空间分离日益突出的问题,本文旨在研究长沙市居民居住地(H)、工作地(W)和主要活动地(A)(H-W-A)的空间分布及分离特征,为优化城市空间结构与交通管理提供参考。[方法]基于长沙市大规模手机定位数据,构建H-W-A识别框架,提取居民居住、工作与主要活动地,并采用空间分离度指标分析H-W-A空间格局及不同群体特征。[结果]居住地呈多核心扩展,工作与活动地高度向中心城区集聚;郊区居民的H-W-A分离度显著高于市中心,且随离心距离环状递增;出行特征在性别、收入和年龄群体间差异显著。[结论]长沙市H-W-A空间分离具有明显的异质性与群体差异,应通过职住协同与公共服务优化降低出行负担,提升城市效率。

关键词: 城市空间格局, 手机定位数据, 错位特征, 出行特征

Abstract: [Purposes]In response to the increasing separation of residential,workplace,and activity spaces in cities,this study investigates the spatial distribution and separation patterns of home-work-activity (H-W-A)locations of residents in Changsha,providing insights for optimizing urban spatial structure and transportation management.[Methods]Using large-scale mobile phone positioning data,an H-W-A identification framework was developed to extract residents' home,work,and major activity locations.Spatial separation indices were applied to analyze H-W-A patterns and variations across different socio-demographic groups.[Findings]Residential locations exhibit multi-center expansion,while workplaces and activity locations are highly concentrated in the city center.Suburban residents show significantly higher H-W-A separation,which increases in a ring-shaped pattern with distance from the city center.Travel behaviors vary markedly by gender,income,and age.[Conclusions]H-W-A spatial separation in Changsha displays pronounced heterogeneity and socio-demographic differences.Coordinated job-housing planning and optimized public services are recommended to reduce travel burdens and enhance urban efficiency.

Key words: urban spatial patterns, mobile phone positioning data, spatial separation characteristics, travel characteristics

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