北京大学学报自然科学版 ›› 2020, Vol. 56 ›› Issue (6): 1091-1101.DOI: 10.13209/j.0479-8023.2020.069

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城中村对深圳市职住空间融合的影响—— 基于手机信令数据的研究

仝德1, 高静1, 龚咏喜2,†   

  1. 1. 北京大学深圳研究生院北京大学(深圳)未来城市实验室, 深圳 518055 2. 哈尔滨工业大学(深圳)建筑学院, 深圳市城市规划与决策仿真重点实验室, 深圳 518055
  • 收稿日期:2019-09-16 修回日期:2019-11-08 出版日期:2020-11-20 发布日期:2020-11-20
  • 通讯作者: 龚咏喜, E-mail: gongyx(at)hit.edu.cn
  • 基金资助:
    国家自然科学基金(41971205)资助

Impact of Urban Village on Job-Housing Balance in Shenzhen: A Study Using Mobile Phone Signaling Data

TONG De1, GAO Jing1, GONG Yongxi2,†   

  1. 1. Peking University (Shenzhen) Laboratory for Urban Future, Peking University Shenzhen Graduate School, Shenzhen 518055

    2. Shenzhen Key Laboratory of Urban Planning and Decision Making, School of Architecture, Harbin Institute of Technology (Shenzhen), Shenzhen 518055

  • Received:2019-09-16 Revised:2019-11-08 Online:2020-11-20 Published:2020-11-20
  • Contact: GONG Yongxi, E-mail: gongyx(at)hit.edu.cn

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摘要：

以深圳为例, 基于手机信令数据识别居民通勤距离, 通过多元线性回归和空间滞后模型, 以交通分析小区(TAZ)为分析单元, 从中观层面分析城中村对居民通勤距离的影响机制。结果表明: 城中村的存在有利于促进大城市职住空间融合, 这与城中村规模大、分布散和租期灵活等因素有关; 土地利用混合度高、建成环境多样和可达性高等建成环境因素会在不同程度上降低小区居民平均通勤距离; 居住地社会经济环境好会提升居民平均通勤距离。

关键词: 职住融合, 城中村, 建成环境, 手机信令数据, 深圳

Abstract:

Taking Shenzhen as an example and TAZ (traffic analysis zone) as the research unit, by means of multiple linear regression and spatial lag model, using mobile phone signaling data, urban built environment data and so on, the role of urban village in promoting job-housing balance is revealed under the premise of controlling the influence of variables such as built environment on the commuting distance. Main conclusions are as follows. Firstly, the average commuting distance of TAZ with a high proportion of urban villages is relatively short and the existence of urban village is favorable to promote job-housing balance, which is related to the large scale, scattered distribution, low rent, flexible lease period and low income of the tenants of urban villages in Shenzhen. Secondly, built environment also has significant influence on average commuting distance of residents. Increasing the degree of land use mixing, increasing the diversity of built environment, optimizing public transportation and destination accessibility will reduce the average commuting distance of TAZ residents in varying degrees and the average commuting distance of residents in TAZ with good social and economic environment is longer. Thirdly, the commuting distance of residents has obvious spatial autocorrelation.

Key words: job-housing balance, urban village, built environment, mobile phone signaling data, Shenzhen

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