REGRESSION ANALYSIS OF THE DEVELOPMENT AREA OF UNDERGROUND SPACE IN SHANGHAI

19th WORLD CONFERENCE OF THE ASSOCIATED RESEARCH CENTRES FOR THE URBAN UNDERGROUND SPACE, Belgrade, Serbia, November 4-7, 2025. (Paper No: 1.23.121,  pp. 232-243)

 

АУТОР(И) / AUTHOR(S): De-Xin Liu, Lei Zhu, Yuan-Qin Liao

 

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DOI:  10.46793/ACUUS2025.1.23.121

САЖЕТАК / ABSTRACT:

This article is based on the development history and current status of underground space in Shanghai. Using the annual development area of underground space in Shanghai as the dependent variable, SPSS analysis methods were employed to select data from 2016 to 2022. Independent variables such as population density, gross regional domestic product, average sales price of residential housing, and metro passenger volume were analyzed using linear regression. The main conclusions indicate that while population density, GRDP, and metro passenger volume jointly influence the development area of urban underground space, there is basically no interaction between them. However, GRDP and the average sales price of residential housing can significantly affect the development area of urban underground space.

КЉУЧНЕ РЕЧИ / KEYWORDS:

regression analysis; development area of underground Space; Shanghai

ПРОЈЕКАТ / ACKNOWLEDGEMENT:

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