Analysis of Beijing’s Working Population Based on Geographically Weighted Regression Model

Yanyan Chen, Hanqiang Qian and Yang Wang
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Yanyan Chen: Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China
Hanqiang Qian: Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China
Yang Wang: Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China

Sustainability, 2020, vol. 12, issue 12, 1-16

Abstract: Evaluation of urban planning and development is becoming more and more important due to the large-scale urbanization of the world. With the application of mobile phone data, people can analyze the development status of cities from more perspectives. By using the mobile phone data of Beijing, the working population density in different regions was identified. Taking the working population density in Beijing as the research object and combining the land use of the city, the development status of Beijing was evaluated. A geographically weighted regression model (GWR) was used to analyze the difference in the impact of land use on the working population between different regions. By establishing a correlation model between the working population and land use, not only can the city’s development status be evaluated, but it can also help city managers and planners to make decisions to promote better development of Beijing.

Keywords: working population; geographically weighted regression; mobile phone data; city evaluation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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