鍦扮悊鐮旂┒ 鈥衡�� 2017, Vol. 36 鈥衡�� Issue (1): 134-148.DOI: 10.11821/dlyj201701011

鈥� 鐮旂┒璁烘枃 鈥� 涓婁竴绡�    涓嬩竴绡�

涓婃捣甯傚吀鍨嬪氨涓氬尯鐨勯�氬嫟鐗瑰緛鍒嗘瀽涓庢ā寮忔�荤粨鈥斺�斿紶姹熴�侀噾妗ュ拰闄嗗鍢寸殑妗堜緥姣旇緝

鐢伴噾鐜�(), 鐜嬪痉(), 璋㈡爧鐏�, 鏈辩幃   

  1. 鍚屾祹澶у寤虹瓚涓庡煄甯傝鍒掑闄�,涓婃捣 200092
  • 鏀剁鏃ユ湡:2016-08-11 淇洖鏃ユ湡:2016-12-14 鍑虹増鏃ユ湡:2017-01-20 鍙戝竷鏃ユ湡:2017-01-20
  • 浣滆�呯畝浠�:

    浣滆�呯畝浠嬶細鐢伴噾鐜诧紙1991- 锛�,濂�,婀栧寳閽熺ゥ浜�,纭曞+,鐮旂┒鏂瑰悜涓哄煄甯傝鍒掓柟娉曚笌鎶�鏈�侲-mail: 895153443@qq.com

  • 鍩洪噾璧勫姪:
    鍥藉鑷劧绉戝鍩洪噾椤圭洰锛�51378363锛�

Identifying the commuting features and patterns of typical employment areas in Shanghai using cellphone signaling data: A case study in Zhangjiang, Jinqiao and Lujiazui

Jinling TIAN(), De WANG(), Dongcan XIE, Wei ZHU   

  1. College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
  • Received:2016-08-11 Revised:2016-12-14 Online:2017-01-20 Published:2017-01-20

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鍏抽敭璇�: 鎵嬫満淇′护鏁版嵁, 灏变笟鍖�, 閫氬嫟鐗瑰緛, 涓婃捣甯�

Abstract:

Commuting features which are of great significance in urban Study have long been concerned. Due to the lack of information about working place in Chinese census data, researches on this topic have relied on traditional data such as questionnaire data in a rather long time. As a result, studies on temporal-spatial commuting characteristics are not refined enough yet. The development of information and communication provides new data, concepts and methods for commuting study, which offers an opportunity for a more comprehensive and in-depth understanding of commuting features. Using the cellphone signaling data within two consecutive weeks in 2014 in Shanghai, China, this paper selects three typical employment areas, which are Zhangjiang Hi-tech Park, Jinqiao Economic Development Zone as well as Lujiazui Finance and Trade Zone to analyze the commuting features respectively and comparatively from four aspects: employment and residence, spatial commuting features, temporal commuting features and commuting by subway. The results show that: (1) Zhangjiang is relatively well self-balanced with the shortest commuting distance; employees here live close to their working place and over a half of them live just in the Park. (2) Jinqiao, having few housing supplies inside and poor rail transportation condition, is typical single-employment; many employees here live surrounding the Zone. (3) Lujiazui, with a rather high proportion of employees live in the central city, is city-interactive; although the inner commuting is still a small part and the commuting distance is not very short, employees here can commute quite conveniently in general. How the six main factors, which are location, transportation condition, scale, industry types as well as land use inside and nearby, contribute to different types of employment areas is then discussed. The results can be instructive for the planning and construction of employment areas. Corresponding planning suggestions are put forward for different patterns of employment areas in the end. For self-balanced ones, increasing supporting facilities inside, such as schools, hospitals and shops, rather than houses only may be more attractive for living. Regarding the single-employment ones, the internal and external public transport links should be mainly enhanced. As for those city-interactive, improving the spatial quality and arousing the regional vitality may be the most important.

Key words: cellphone signaling data, employment area, commuting features, Shanghai