Analysis of Beijing's working population based on geographically weighted regression model

1Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

APA

Chen, Y., Qian, H., & Wang, Y. (2020). Analysis of Beijing’s working population based on geographically weighted regression model. Sustainability (Switzerland), 12(12). https://doi.org/10.3390/su12125018

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free