文章编号： 1672-5328（2022）02-0099-12

杨超1, 2，陈明垟1, 2，袁泉1, 2，王燚3
(1. 同济大学城市交通研究院，上海201804；2. 同济大学道路与交通工程教育部重点实验室，上海201804；3. 上 海复旦规划建筑设计研究院，上海200433)

摘要： 加快新城建设是上海市推进“十四五”规划建设的重要抓手。对新城通勤人群出行分布特征 进行分析，可更全面理解上海市城市空间联系。选取上海市主城区以及嘉定、青浦、奉贤、松江、 南汇5 个新城，基于居民出行调查数据与手机信令数据对通勤人群进行识别，并分析其工作日出 行特征。定义通勤人群非工作日的出行为非通勤出行，利用K-Means聚类算法将非通勤出行划分为 高频日常生活型出行与低频非日常生活型出行，并进一步分析其出行特征。结果表明，5 个新城之 间居民通勤与非通勤出行较为独立；嘉定、青浦、奉贤新城居民通勤用时较松江、南汇新城居民更 短，且南汇新城存在较多的长距离通勤出行，居民就业辐射范围更广；非通勤出行的空间分布特征 表明5 个新城基本可以满足高频日常生活型出行需求，但低频非日常生活型出行的设施供给较弱。 研究结论可为上海市新城规划与建设提供一定的理论实证。

关键词： 交通规划；通勤人群；通勤出行；非通勤出行；手机信令数据；上海市

中图分类号： U491

文献标识码：A

Travel Characteristics of Commuters Living in Shanghai New Towns

Yang Chao1, 2, Chen Mingyang1, 2, Yuan Quan1, 2,Wang Yi3
(1. Urban Mobility Institute, Tongji University, Shanghai 201804, China; 2. The key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China; 3. Fudan Planning and Architectural Design Institute, Shanghai 200433, China)

Abstract： Promoting the development of new towns is one of the critical strategies in 14th Five-Year Plan of Shanghai. With exploring the travel characteristics of commuters living in new towns, this paper offers a more comprehensive understandings about the spatial relationships of Shanghai. The main urban areas of Shanghai and five new towns, including Jiading, Qingpu, Fengxian, Songjiang, and Nanhui, are selected to identify the group of commuters based on residents' travel survey data and cellular signaling data, and then to analyze their travel characteristics in work days. Moreover, the trips of commuters at the weekend are marked as non-commuting trips that are divided into high-frequency daily trips and low-frequency nondaily trips, and are analyzed by using K-Means clustering algorithm. The results show that commuting and non-commuting trips are relatively independent among the five new towns. The commuting time of residents in Jiading, Qingpu, and Fengxian is shorter than that of residents in Songjiang and Nanhui. There are more long-distance trips in Nanhui, where the employment coverage range is wider. The spatial distribution of non-commuting trips shows that the five new towns can meet the travel demand of high-frequency daily activities, but the facilities supply for low- frequency non- daily travel is relatively inadequate. The findings can provide theoretical empirical evidence for the planning and construction of new towns in Shanghai.

Keywords： transportation planning; commuters; commuting trips; non-commuting trips; cellular signaling data; Shanghai