Abstract

Forecasting the capacity demand of underground space is the difficulty and a heat point in urban planning and urban underground space development. Through the survey data of Shanghai underground space capacity in 2006 and 2008, this paper conducts an empirical study on forecasting the capacity demand of underground space using thespatial regression model as the classical model by applying tools of STATA, SPSS and ArcGIS. The study indicates that the scale of underground space development and use is in a significant positive relationship with the population density and GDP per capita, but is not relevant with the price of real estate. The characteristics are apparently different in the underground space development and use in Shanghai between the central and the rural area. The underground space development in Shanghai is at the stage of rapid promotion, and will keep increasing at a high speed. The paper reveals the development law of Shanghai underground space development and the method of forecasting the capacity of underground space so as to provide theoretical analysis tool for development of underground space in Shanghai and other cities.

Highlights

  • Urban underground space is an important field of urban space expansion in China, which has accommodated a large number of development and construction activities

  • It is infinite in theory, but urban underground space resources suitable for development and utilization are very limited in a certain period

  • The remaining four partial correlation analyses all show weak correlation. This can lead to a preliminary conclusion that the density of underground space development is related to population density, and GDP is related to real estate price

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Summary

Introduction

Urban underground space is an important field of urban space expansion in China, which has accommodated a large number of development and construction activities. Urban underground space reserves refers to the city from the surface to the core of all the space. It is infinite in theory, but urban underground space resources suitable for development and utilization are very limited in a certain period. In a certain period of time, the scale of urban underground space that can be developed and utilized is restricted by its own development law. This study uses urban macroeconomic indicators as predictive variables to explore the scale of underground space development suitable for the level of urban economic development. This study takes Shanghai as a case to explore the endogenous motivation of the scale of underground space development and utilization

Existing forecasting methods
Influential factor framework
Variable selection
Research hypothesis
Sample data acquisition
Spatial autocorrelation problem
Correlation problem of time series data
Regression model assumption
Correlation analysis and partial correlation analysis
Regression analysis
Conclusion
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