Multi-scale Analysis and Spatial Effect of Transportation Integration in the Yangtze River Delta
Received date: 2023-05-15
Revised date: 2023-10-18
Online published: 2024-06-03
From the perspective of regional spatiotemporal compression,this article constructs a comprehensive transportation accessibility model to measure the shortest time distance and its changes between 41 municipal-level cities in the Yangtze River Delta region. Based on the methods of Delphi and isochronous circle,this article explores the spatial heterogeneity of the integration level of the Yangtze River Delta urban agglomeration from the three dimensions of municipal level,metropolitan level and urban agglomeration level,which provides a reference basis for the formulation of integration plans and policies in the Yangtze River Delta region. The main findings are as followings: 1) In the context of traffic integration construction,the construction and opening of high-speed railway and inter-city railway have significantly shortened the time distance between cities,made the intercity social and economic exchanges more close,and the number of city pairs within one hour has increased sharply. 2) The regional high-level integration areas are concentrated in the Shanghai-Nanjing axis belt and Shanghai-Hangzhou axis belt,the integration level of cities along the Yangtze River Economic Belt is high. 3) Under the spatiotemporal compression effect,regional central cities expand the geographical scope of "spillover effect" and "one-city effect". 4) The spatial heterogeneity of integration in the Yangtze River Delta region has changed with the continuous improvement of the high-speed transportation network. Cities such as Hangzhou,Wuxi,Suzhou,and Hefei have gradually become emerging core cities in the Yangtze River Delta region,and the role of cities such as Wuhu and Anqing in the urban network is also gradually strengthening.
WANG Liang , JIANG Haibing , LIU Binzhang . Multi-scale Analysis and Spatial Effect of Transportation Integration in the Yangtze River Delta[J]. Economic geography, 2024 , 44(1) : 99 -106 . DOI: 10.15957/j.cnki.jjdl.2024.01.010
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