Paper
28 August 2024 Analysis of passenger flow characteristics of Dongguan rail transit line 2
Chen Peiwen, Wang Shengyou
Author Affiliations +
Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 132516H (2024) https://doi.org/10.1117/12.3039808
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China
Abstract
The analysis of passenger flow characteristics of operating lines is of great significance to the planning, design, operation and management of urban rail transit. A passenger flow allocation model was established based on rail transit card data, and the passenger flow characteristics of Dongguan Metro Line 2 were analyzed. From the perspective of the law of passenger flow growth, the passenger flow of Line 2 has grown steadily, and the passenger flow on weekends is higher than that on working days. Weekday passenger flow showed a single-peak feature, with an average travel time of 21 minutes and an average transport distance of 12.2 kilometers. The entrance and exit volume of the central city and the hub station is large, and the entrance and exit volume of the peripheral station is small. The cross-sectional passenger flow distribution of Line 2 shows a spindle shape, decreasing from the central city to both ends. This paper summarizes the reasons of passenger flow deviation after comparing the current passenger flow and the predicted passenger flow, and makes some suggestions for improving passenger flow.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Chen Peiwen and Wang Shengyou "Analysis of passenger flow characteristics of Dongguan rail transit line 2", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 132516H (28 August 2024); https://doi.org/10.1117/12.3039808
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KEYWORDS
Transportation

Data modeling

Spindles

Connectors

Education and training

Statistical analysis

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