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Modeling Urban Growth and Socio-Spatial Dynamics of Hangzhou, China: 1964–2010

Jian Feng () and Yanguang Chen ()
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Jian Feng: Department of Geography, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Yanguang Chen: Department of Geography, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China

Sustainability, 2021, vol. 13, issue 2, 1-25

Abstract: Urban population density provides a good perspective for understanding urban growth and socio-spatial dynamics. Based on sub-district data of the five national censuses in 1964, 1982, 1990, 2000, and 2010, this paper is devoted to analyzing of urban growth and the spatial restructuring of the population in the city of Hangzhou, China. Research methods are based on mathematical modeling and field investigation. The modeling result shows that the negative exponential function and the power-exponential function can be well fitted to Hangzhou’s observational data of urban density. The negative exponential model reflects the expected state, while the power-exponential model reflects the real state of urban density distribution. The parameters of these models are linearly correlated to the spatial information entropy of population distribution. The fact that the density gradient in the negative exponential function flattened in the 1990s and 2000s is closely related to the development of suburbanization. In terms of investigation materials and the changing trend of model parameters, we can reveal the spatio-temporal features of Hangzhou’s urban growth. The main conclusions can be reached as follows. The policy of reformation and opening-up and the establishment of a market economy improved the development mode of Hangzhou. As long as a city has a good social and economic environment, it will automatically tend to the optimal state through self-organization.

Keywords: urban growth; urban population density; urban spatial structure; spatial entropy; suburbanization; Hangzhou (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
Date: 2021
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