Analysis of urban population spatiotemporal distribution characteristics based on spatiotemporal data: a case study of Chongqing

Zhiman Xu; Rong Zhou

doi:10.1117/12.3023957

14 February 2024 Analysis of urban population spatiotemporal distribution characteristics based on spatiotemporal data: a case study of Chongqing

Zhiman Xu, Rong Zhou

Author Affiliations +

Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 1301845 (2024) https://doi.org/10.1117/12.3023957
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China

Abstract

Using mobile communication data, this study focuses on Chongqing to identify the characteristics of residential and employment distribution within the city. The results reveal that the spatial distribution of residential and employment activities in Chongqing tends to be consistent, with a general pattern of high density in the western region and low density in the eastern region. The main urban area, located in the southwest, serves as the core population aggregation zone, with a gradual decrease in population density in the surrounding areas. The traditional multi-center model in the main urban area has undergone a transformation, with the various centers exhibiting an aggregating trend.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhiman Xu and Rong Zhou "Analysis of urban population spatiotemporal distribution characteristics based on spatiotemporal data: a case study of Chongqing", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 1301845 (14 February 2024); https://doi.org/10.1117/12.3023957

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