• Acta Geographica Sinica
  • Vol. 75, Issue 8, 1585 (2020)
De WANG1、*, Dan LI2, and Yingzi FU3
Author Affiliations
  • 1Collage of Architecture and Urban Planning, Tongji University, Shanghai 200093, China
  • 2Shanghai Branch, China Academy of Urban Planning & Design, Shanghai 200335, China
  • 3Jiangsu Institute of Urban Planning and Design, Nanjing 210036, China
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    DOI: 10.11821/dlxb202008003 Cite this Article
    De WANG, Dan LI, Yingzi FU. Employment space of residential quarters in Shanghai: An exploration based on mobile signaling data[J]. Acta Geographica Sinica, 2020, 75(8): 1585 Copy Citation Text show less
    Sampled 253 residential quarters in Shanghai
    Fig. 1. Sampled 253 residential quarters in Shanghai
    Kernel densities of single-nucleated patterns in city center and suburbs
    Fig. 2. Kernel densities of single-nucleated patterns in city center and suburbs
    Kernel densities of three ribbon-shaped patterns
    Fig. 3. Kernel densities of three ribbon-shaped patterns
    Kernel densities of dual-nucleated patterns
    Fig. 4. Kernel densities of dual-nucleated patterns
    Kernel densities of multi-nucleated and decentralized patterns in city center and suburbs
    Fig. 5. Kernel densities of multi-nucleated and decentralized patterns in city center and suburbs
    Spatial distribution of the patterns
    Fig. 6. Spatial distribution of the patterns
    Spatial distribution of ribbon-shaped sub-patterns
    Fig. 7. Spatial distribution of ribbon-shaped sub-patterns
    Average commuting distance of different patterns
    Fig. 8. Average commuting distance of different patterns
    Principal attraction areas of different employment centers (central city, new towns, Pudong)
    Fig. 9. Principal attraction areas of different employment centers (central city, new towns, Pudong)
    Commuting patterns in principal attraction areas of different job centers (central city, new towns, Pudong)
    Fig. 10. Commuting patterns in principal attraction areas of different job centers (central city, new towns, Pudong)
    Employment spatial patterns for typical quarters with different distances from the subway station
    Fig. 11. Employment spatial patterns for typical quarters with different distances from the subway station
    Employment spatial patterns for three resettlement residential quarters
    Fig. 12. Employment spatial patterns for three resettlement residential quarters
    Employment spatial patterns for villa and regular residential quarters
    Fig. 13. Employment spatial patterns for villa and regular residential quarters
    Dominant factors and referred area
    Fig. 14. Dominant factors and referred area
    名称定义作用
    通勤距离—概率分布以1 km为基本通勤距离单元,不同距离的通勤人口分布反映通勤距离分布特征
    平均通勤距离就业者通勤路网距离的平均值反映就业远近的整体趋势
    5 km内就业比住宅区5 km范围内的就业者占总就业者的比例反映就近就业情况
    轨道交通沿线就业比邻近轨道交通线路所有站点2 km以内就业人口占住宅区总就业人口的比例反映轨道交通沿线就业趋势
    内环就业比在内环范围内的就业者占总就业者的比例反映市中心就业核心依赖度
    Table 1. Parameters of employment spatial patterns
    Table 2. Characteristics of employment spatial patterns
    模式大类样本数(个)模式亚类样本数(个)
    单中心31市中心型8
    郊区型23
    带状147连续型54
    间断型32
    连续—间断过渡型8
    弱带状53
    双中心13双中心13
    多中心或分散25市中心型14
    郊区型11
    过渡型37过渡型37
    总计253
    Table 3. A summary of the patterns
    模式类型就业中心轨道交通住宅区属性产生区域
    单中心内环/新城就业中心核心作用区
    带状内环就业核心+轨道交通综合作用区
    双中心(○)内环就业核心+轨道交通+(住宅区属性)综合作用区
    多中心或分散内环就业核心+浦东多就业中心作用区新城就业核心+周边低等级就业中心作用区
    模式内变化通常在郊区
    Table 4. Dominant factors and referred area
    De WANG, Dan LI, Yingzi FU. Employment space of residential quarters in Shanghai: An exploration based on mobile signaling data[J]. Acta Geographica Sinica, 2020, 75(8): 1585
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