PROGRESS IN GEOGRAPHY ›› 2021, Vol. 40 ›› Issue (4): 565-579.doi: 10.18306/dlkxjz.2021.04.003

• Special Column: Community Life Circle Plannning • Previous Articles     Next Articles

Living space structural pattern of typical residential areas in Shanghai

FU Yingzi1(), WANG De2,*()   

  1. 1. Jiangsu Institute of Urban Planning and Design, Nanjing 210036, China
    2. Collage of Architecture and Urban Planning, Tongji University, Shanghai 200093, China
  • Received:2020-11-03 Revised:2021-03-01 Online:2021-04-28 Published:2021-06-28
  • Contact: WANG De E-mail:yingzi@tongji.edu.cn;dewang@tongji.edu.cn
  • Supported by:
    National Natural Science Foundation of China(41771170)

Abstract:

China is in a period of comprehensive transformation of economic and social developments. Urban development has shifted from expansion to focusing on the improvement of quality, and gradually began to focus on the quality of life of residents. Living space has become an important factor reflecting the quality of urban development. With the increasingly clear social class stratification and residential space differentiation in Shanghai, the complex background and multiple attributes of different residential areas shape a variety of living spaces, reflecting different life styles and quality of life. This study selected 253 typical residential areas as the research samples, and used mobile signaling data, supplemented by questionnaire survey data, to explore the structural pattern of living space of typical residential areas in Shanghai. Both the mobile signaling data and the questionnaire survey data were used to calculate the scope and boundary of daily activities, as well as the main nodes and channels of the activity network. It is found that the main center, subcenters, and other urban centers attract residents' daily activities and thus become nodes of the network; while rail transit makes activities extend and spread and become channels of activities by shortening travel time cost. The influence degree of urban centers and rail transit stations on residential areas can basically explain the spatial distribution of daily activities. Under the influence of these factors, 15 typical structural patterns have been formed. Among them, the main center has medium-strong influence, the subcenters have medium influence, and the structural mode of rail transit has the highest influence. Exploring the structure of living space in typical residential areas is of practical significance for the development of planning policies such as life circle construction, urban center system planning, and transportation facility construction.

Key words: living space, structural pattern, mobile signaling data, residential area, Shanghai