Analysis of the Driving Forces of Urban Expansion Based on a Modified Logistic Regression Model: A Case Study of Wuhan City, Central China

Ti Luo, Ronghui Tan, Xuesong Kong and Jincheng Zhou
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Ti Luo: College of Economics and Management, Hunan Institute of Science and Technology, Yueyang 414006, China
Ronghui Tan: College of Management and Economics, Tianjin University, Tianjin 300072, China
Xuesong Kong: School of Resource and Environmental Science, Wuhan University, Wuhan 430079, China
Jincheng Zhou: College of Economics and Management, Hunan Institute of Science and Technology, Yueyang 414006, China

Sustainability, 2019, vol. 11, issue 8, 1-21

Abstract: Urban development policies and planning schemes are essential drivers of urban expansion in the contemporary world. However, they are usually investigated by qualitative analysis and it is difficult to use them in spatial analysis models. Within the advancement of technology regarding the geostatistical dataset, this study uses a field strength model to quantify policy-oriented factors and designs a modified logistic regression model to analyze the main drivers of urban expansion by selecting natural environment, socioeconomic development, and especially policy-oriented variables. Wuhan City in central China is taken as an example: the modified model is applied and compared with the classical model, and the driving mechanism of urban expansion in Wuhan from 2006 to 2013 is determined through spatial analysis. The results show that the urban system planning in combination with various anthropologic and environmental factors can be comprehensively quantified and described by the urban field strength. The methodological innovation of the classical logistic regression model is tested by statistical and spatial analysis methods, and the results verify that the modified regression model can be used more accurately to investigate the driving mechanism of urban expansion in the past and simulate the spatial pattern of urban evolution in the future.

Keywords: urban land use transformation; drivers; statistical method; spatial analysis; modified model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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