DOI: 10.11908/j.issn.0253-374x.20149

作者:

作者单位: 1.同济大学 建筑与城市规划学院，上海 200092;2.上海市城市更新及其空间优化技术重点实验室， 上海 200092


作者简介: 李凯克（1987—)，男，博士生，主要研究方向为城乡规划方法与技术。E-mail: likaike@gmail.com


通讯作者: 钮心毅（1971—)，男，教授，博士生导师，工学博士，主要研究方向为城乡规划方法与技术。E-mail: niuxinyi@tongji.edu.cn

中图分类号: TU984


基金项目: 国家自然科学基金面上项目（51878457）




Polycentric Structure of Employment in Shanghai-Suzhou Mega City-Region Based on Nonparametric Analysis
Author:

Affiliation: 1.College of Architecture and Urban Planning， Tongji University， Shanghai 200092， China;2.Shanghai Key Laboratory of Urban Renewal and Spatial Optimization Technology，Shanghai 200092， China


Fund Project:




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摘要:利用移动通信信令数据识别上海—苏州组成的巨型城市区域内通勤联系，应用非参数分析方法识别区域内就业中心，以此测度巨型城市区域的多中心结构。利用移动通信信令数据识别就业者工作地数据，得到整个区域内基于网格的就业密度分布。应用改进的非参数分析方法识别巨型城市区域内就业中心。第一阶段利用局部加权回归识别出候选就业中心；第二阶段识别围绕候选中心的高就业密度网格，与候选就业中心组成就业中心范围。最后，用内外交互指数和水平交互指数验证了该区域的功能多中心程度。研究发现，在通勤联系视角下，上海和苏州组成的巨型城市区域内存在20个有区域影响力的就业中心，已经形成了功能多中心结构。利用移动通信信令数据和非参数分析精确识别具有区域影响力的就业中心范围，避免了既往研究中行政单元对研究结果的影响，为准确认识上海—苏州巨型城市区域的空间结构提供了支持。



Abstract:Mobile phone signaling data is used to identify the commuting connection in the Shanghai-Suzhou mega city-region， and the employment centers identified by the nonparametric analysis in the region is used to measure the polycentric structure of the mega city-region. First， the grid-based employment density distribution in the entire region is obtained using the mobile phone signaling data to identify the working place of commuters. Next， an improved nonparametric analysis is used to identify employment centers in the mega city-region. In the first stage， the local weighted regression is used to pick out candidate employment centers. In the second stage， the high employment density grids surrounding the candidate centers are identified， and the range of employment centers are formed. Finally， the Exchange Commuting Index and Criss-cross Commuting Index are used to verify the degree of functional polycentricity of the mega city-region. It is found that from the perspective of commuting connections， there are 20 regionally influential employment centers in the Shanghai-Suzhou Mega City-Region， and a functional polycentric structure has been formed. Using mobile phone signaling data and nonparametric analysis can accurately identify the scope of employment centers with regional influence， which can avoid the influence of administrative units on the results in previous studies， and provide supports for accurately understanding the spatial structure of the Shanghai-Suzhou Mega City-Region.





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