地理学报 ›› 2020, Vol. 75 ›› Issue (8): 1585-1602.doi: 10.11821/dlxb202008003
收稿日期:
2018-12-21
修回日期:
2020-05-13
出版日期:
2020-08-25
发布日期:
2020-10-25
作者简介:
王德(1963-), 男, 教授, 博导, 主要从事城市规划方法论、空间与行为、城市大数据、城市模型领域的教学与研究。E-mail:基金资助:
WANG De1(), LI Dan2, FU Yingzi3
Received:
2018-12-21
Revised:
2020-05-13
Online:
2020-08-25
Published:
2020-10-25
Supported by:
摘要:
上海市住宅区地域分布广,住房属性、就业环境与交通环境各异,就业活动空间呈现不同的组织与分布模式。利用2014年手机信令数据识别上海市移动手机用户的居住地和工作地,选取253个典型住宅区为分析样本,将样本住宅区居民就业地核密度分布、通勤距离—概率分布等可视化方法结合就业地特征量化因子,以综合归纳上海市住宅区就业空间分布模式,分析影响因子及形成机制。研究揭示了上海市住宅区就业空间的几类典型模式,包括单中心、带状、双中心、多中心或分散,以及模式间的过渡类型。在就业空间影响因子方面,就业中心分布与轨道交通线路是主导因子,影响就业空间模式的整体分布;居住区类型特征是次要因子,导致局部就业空间模式变异。研究结论可为上海市空间结构优化布局、产业空间调整、轨道交通建设及住房建设提供参考。
王德, 李丹, 傅英姿. 基于手机信令数据的上海市不同住宅区居民就业空间研究[J]. 地理学报, 2020, 75(8): 1585-1602.
WANG De, LI Dan, FU Yingzi. Employment space of residential quarters in Shanghai: An exploration based on mobile signaling data[J]. Acta Geographica Sinica, 2020, 75(8): 1585-1602.
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