Differential Analysis of Spatial Patterns of Road and Subway Commuting Based on Commuting Time

In order to analyze the differences in spatial characteristics of commuting under different modes of transportation and commuting time, this paper takes Xi’an mobile signaling data as the basis, sets out the travel OD between blocks, and then constructs four types of commuting networks based on different modes of transportation and commuting time: road-efficient commuting, road-extreme commuting, subway-efficient commuting, and subway-extreme commuting. The commuting community structure is detected by Infomap algorithm. The study shows that the spatial characteristics of four commuting networks are significantly different. Subway mainly serves long commuting hours, and its commuting space range, number of communities, and modularity are smaller than that of road commuting. Compared to efficient commuting, extreme commuting has a lower modularity, and its distribution of communities is scattered and irregular. The findings of the study provide support for urban spatial planning and transportation planning and management.

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Published
2024-12-11
DOI
https://doi.org/10.1061/9780784485484.347
Primary Topic
Evacuation and Crowd Dynamics
Type
article
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article

Differential Analysis of Spatial Patterns of Road and Subway Commuting Based on Commuting Time

Yuxin Chen, Yu Sun, Hong Chen
Evacuation and Crowd Dynamics
article

Differential Analysis of Spatial Patterns of Road and Subway Commuting Based on Commuting Time

Yuxin Chen, Yu Sun, Hong Chen
article en

Abstract

In order to analyze the differences in spatial characteristics of commuting under different modes of transportation and commuting time, this paper takes Xi’an mobile signaling data as the basis, sets out the travel OD between blocks, and then constructs four types of commuting networks based on different modes of transportation and commuting time: road-efficient commuting, road-extreme commuting, subway-efficient commuting, and subway-extreme commuting. The commuting community structure is detected by Infomap algorithm. The study shows that the spatial characteristics of four commuting networks are significantly different. Subway mainly serves long commuting hours, and its commuting space range, number of communities, and modularity are smaller than that of road commuting. Compared to efficient commuting, extreme commuting has a lower modularity, and its distribution of communities is scattered and irregular. The findings of the study provide support for urban spatial planning and transportation planning and management.

Chang'an University (CN)
Sustainable cities and communities
Openalex Percentile: Top 70%
Evacuation and Crowd Dynamics
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