PROGRESS IN GEOGRAPHY ›› 2021, Vol. 40 ›› Issue (8): 1310-1320.doi: 10.18306/dlkxjz.2021.08.005

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Comparative analysis of the spatiotemporal change of sharing accommodations and traditional accommodations: A case study of Shanghai

LI Li1,2(), HOU Guolin3,4,*(), FENG Rundong1,2, XI Jianchao1   

  1. 1. The Key Laboratory of Regional Sustainable Development Analysis and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    3. School of Geographical Science, Nanjing Normal University, Nanjing 210023, China
    4. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
  • Received:2021-01-04 Revised:2021-04-11 Online:2021-08-28 Published:2021-10-28
  • Contact: HOU Guolin;
  • Supported by:
    National Natural Science Foundation of China(41671151);National Natural Science Foundation of China(41771151);Key Research Support Project for Professional Graduate Students of the Ministry of Culture and Tourism in 2019(WLRCY2019-50)


With the increasing personalization of consumption, the development of new accommodation forms, especially sharing accommodations, is creating new economic growth points, while its interaction with traditional accommodations has attracted extensive academic attention. Using spatial autocorrelation and kernel density estimation, this study analyzed the spatial and temporal dynamics and spatial correlation of traditional and sharing accommodations in Shanghai, and explored the differences between them in terms of location selection factors by using the geographical detector. The results reveal that: 1) The spatial agglomeration of both traditional and sharing accommodations has increased significantly, but the spatial agglomeration of sharing accommodations has a tendency to rise first and then fall. 2) Traditional accommodations show a shift from a spatial expansion pattern dominated by contact diffusion to that supplemented by jump diffusion, while sharing accommodations show a spatial expansion pattern with contact diffusion and jump diffusion in parallel. 3) The positive correlation between the two has been growing during the study period, with the proportion of synergistic type increasing and the proportion of trade-off type gradually decreasing. 4) Sharing accommodations are more influenced by subway stations, public services, housing prices, and housing supply, while traditional accommodations are more sensitive to road density and regional economic development level. The differences and correlations between the spatial layout of traditional accommodations and sharing accommodations in different regional contexts and research scales deserve further exploration in the future.

Key words: sharing accommodation, traditional accommodation, spatiotemporal change, comparative analysis, Shanghai City