测绘通报 ›› 2025, Vol. 0 ›› Issue (10): 26-29.doi: 10.13474/j.cnki.11-2246.2025.1005

• 智慧交通建设与实践 • 上一篇    

结合互联网位置大数据的跨区域通勤识别方法与实践——以上海及周边城市为例

邹伟, 张天然, 王波, 秦战   

  1. 上海市城市规划设计研究院, 上海 200040
  • 收稿日期:2025-03-11 发布日期:2025-10-31
  • 作者简介:邹伟(1989-),男,硕士,高级工程师,主要研究方向为城市规划信息化、城市研究等。E-mail:zouwei@supdri.com

Identification method and practice of regional commuting based on Internet data:the case of Shanghai and surrounding cities

ZOU Wei, ZHANG Tianran, WANG Bo, QIN Zhan   

  1. Shanghai Urban Planning and Design Research Institute, Shanghai 200040, China
  • Received:2025-03-11 Published:2025-10-31

摘要: 针对跨区域通勤研究过程中存在的传统数据整合困难、数据时效性要求高等问题,本文首先结合国内外跨区域交通出行特征与趋势,提出了新时期区域通勤兼具功能联系、网络结构新兴内涵和以人为本的核心价值。然后,以互联网位置大数据为基础,提出了新时期通勤在区域尺度的概念界定和识别方法,并从城市、区县、跨城等多维尺度进一步验证技术方法可行性。最后,以上海及周边城市为例,分析了城市、区县等不同尺度下的跨城通勤特征,总体呈现“网络化对流”“近域流动”等特征,进一步优化和实证了不同尺度下跨区域通勤方法的通用性与可行性。

关键词: 区域通勤, 通勤圈, 互联网大数据, 近沪地区, 都市圈

Abstract: In view of the problems of cross-regional commuting, such as the difficulty in traditional data integration and the high requirement for data timeliness, first of all, this paper combines the characteristics and trends of cross-regional transportation at home and abroad, and proposes the emerging connotations of regional commuting in the new era, such as functional connection and network structure, as well as the core value of people-oriented transportation travel efficiency and quality improvement.Secondly, based on the big data of Internet location, this paper proposes the concept definition and identification method of commuting in the new era at the regional scale, and further verifies the feasibility of the technical methods from multiple dimensions such as cities, districts and counties, and cross-city.Finally, taking Shanghai and its surrounding cities as examples, this paper analyzes the characteristics of cross-city commuting at different scales such as cities, districts and counties.Generally, it presents features such as “networked convection” and “near-area flowing”, further optimizing and empirically verifying the universality and feasibility of cross-regional commuting methods at different scales.

Key words: regional commuting, commuting circle, internet data, Shanghai and surrounding cities, metropolitan area

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