上海五个新城职住空间特征对比研究
A Comparative Study on the Spatial Characteristics of Job-housing in Five New Towns in Shanghai
张天然
上海市城市规划设计研究院 交通分院副院长，正高级工程师，博士
朱春节
上海市城市规划设计研究院 高级工程师，硕士
訾海波
上海市城市规划设计研究院 高级工程师，硕士
王 波
上海市城市规划设计研究院 高级工程师，硕士
摘要: 职住空间特征包括居住、工作和通勤及三者之间的关系。“职”和“住”的空间联系形成了通勤出行，是城市空间结构的重要研究内容。综合应用居民出行调查数据、人口普查数据、经济普查数据和百度大数据等，从上海五个新城的居民工作地分布、就业岗位居住地分布及新城通勤圈通勤出行的距离和方式等方面开展研究，对比上海与东京、近沪城市的新城或城区通勤出行特征，总结上海五个新城职住关系，并给出规划建议。
Abstract: The characteristics of job-housing include residence, work, commuting, and their relationships. The spatial association of jobs and housing forms commuting trips, which serves as a significant research corpus of urban spatial structure. This paper refers to resident trip survey data, population census data, economic census data and Baidu big data comprehensively, and researches the distribution of residents' job locations and workers' resident places in the five new towns of Shanghai and the commute distances and modes of new town commuting circles. By comparing the new town or city commuting between Shanghai and Tokyo and other node cities adjacent to Shanghai, this paper summarizes the job-housing features of the five new towns in Shanghai and proposes planning suggestions.
关键词：职住空间分析；通勤距离；职住平衡；通勤圈；上海五个新城
Keyword: job-housing spatial analyzing; commute distance; job-housing balance; commute circle; the five new towns of Shanghai
中图分类号：TU984
文献标识码: A
张天然. 基于手机信令数据的上海市域职住空间分析[J]. 城市交通，2016，14（1）：15-23.
ZHANG Tianran. Job-housing spatial distribution analysis in Shanghai metropolitan area based on cellular signaling data[J]. Urban Transport of China, 2016, 14(1): 15-23.
刘贤腾，陈雪明，周江评. 就业—居住空间关系及通勤效率——过剩通勤的评估潜力[J].城市交通，2018，16（2）：10-18.
LIU Xianteng, CHEN Xueming, ZHOU Jiangping. Study on jobs-housing spatial relationship and commuting efficiency: evaluation potential of excess commuting[J]. Urban Transport of China, 2018, 16(2): 10-18.
ZHOU J, WANG Y, CAO G, et al. Jobs-housing balance and development zones in China: a case study of Suzhou industry park[J]. Urban Geography, 2017, 38(3): 363-380.
ZHANG P, ZHOU J, ZHANG T. Quantifying and visualizing jobs-housing balance with big data: a case study of Shanghai[J]. Cities, 2017, 66: 10-22.
上海市统计局. 上海第四次经济普查主要数据公报[EB/OL]. （2020）[2020-05-05]. http://tjj.sh.gov.cn/tjgb/20200330/98f254db81fa405f95147551a548f9d4.html.
Shanghai Municipal Bureau of Statistics. Key statistics of the 4th Shanghai economic census[EB/OL]. (2020) [2020-05-05]. http://tjj.sh.gov.cn/tjgb/20200330/98f254db81fa405f95147551a548f9d4.html.
周文娜，张天然，申立，等. 快速城市化背景下上海市人口与就业分布及其演化的研究[J]. 上海城市规划，2015（2）：44-48，70.
ZHOU Wenna, ZHANG Tianran, SHEN Li, et al. Study on the distribution of population and employment in Shanghai under the context of rapid urbanization[J]. Shanghai Urban Planning Review, 2015(2): 44-48, 70.
新たなライフスタルを実現する. 人中心のモビリティネットワークと生活圏—転換点を迎えた東京都市圏の交通戦略2021[R]. 東京都市圏交通計画協議会，2021.
张天然，王波. 上海2035年公共交通分担率研究[J]. 交通与港航，2018，5（2）：42-49.
ZHANG Tianran, WANG Bo. Research on public traffic share ratio of Shanghai transport in 2035[J]. Communication & Shipping, 2018, 5(2): 42-49.
