Multilevel effects of factors influencing passenger flow in urban rail transit stations based on spatial metrology model

Monuo Mao; Mingying Deng

doi:10.1117/12.3018521

15 January 2024 Multilevel effects of factors influencing passenger flow in urban rail transit stations based on spatial metrology model

Monuo Mao, Mingying Deng

Author Affiliations +

Proceedings Volume 12983, Second International Conference on Electrical, Electronics, and Information Engineering (EEIE 2023); 129832N (2024) https://doi.org/10.1117/12.3018521
Event: Second International Conference on Electrical, Electronics, and Information Engineering (EEIE 2023), 2023, Wuhan, China

Abstract

The interaction between passenger flow and influencing factors is a key issue in rail transit planning. This paper uses the spatial econometric model to delimit the multi-level impact zone of the rail station based on the multi-mode connection mode, and explores the multi-level effect of the factors influencing passenger flow in the urban rail transit station from three aspects: built environment, external connectivity and multi-mode traffic. The results show that the population, the number of posts, the office building area, the mixed degree of land use, the number of schools, the number of bus lines, and the distance from the station to the city center are the significant influencing factors of rail passenger flow. There are different decisive factors affecting rail passenger flow in the multi-stage area, and the degree of effect is obviously different.

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

Citation Download Citation

Monuo Mao and Mingying Deng "Multilevel effects of factors influencing passenger flow in urban rail transit stations based on spatial metrology model", Proc. SPIE 12983, Second International Conference on Electrical, Electronics, and Information Engineering (EEIE 2023), 129832N (15 January 2024); https://doi.org/10.1117/12.3018521

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