Modes at Guangzhou Urban Rail Transit Stations
［Objective］ In order to accurately calculate the required scale of the connection facilities at Guangzhou urban rail transit stations, it is necessary to study and predict the sharing rate of passenger flow under each transportation connection mode at the stations. ［Method］ Based on the on-site inve...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Urban Mass Transit Magazine Press
2025-01-01
|
| Series: | Chengshi guidao jiaotong yanjiu |
| Subjects: | |
| Online Access: | https://umt1998.tongji.edu.cn/journal/paper/doi/10.16037/j.1007-869x.2025.01.037.html |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841543656071233536 |
|---|---|
| author | CAI Hanzhe LIN Junyan WANG Zhi YE Xiafei |
| author_facet | CAI Hanzhe LIN Junyan WANG Zhi YE Xiafei |
| author_sort | CAI Hanzhe |
| collection | DOAJ |
| description | ［Objective］ In order to accurately calculate the required scale of the connection facilities at Guangzhou urban rail transit stations, it is necessary to study and predict the sharing rate of passenger flow under each transportation connection mode at the stations. ［Method］ Based on the on-site investigations of the inbound passenger flow connection data of Nancun Wanbo Station, Tonghe Station and other stations in Guangzhou urban rail transit under different weather conditions, on the basis of the traditional MNL (Multinomial Logit) model, and in consideration of the impact of weather and differences in the inbound and outbound connection characteristics, an improved model for classifying the passenger flow transportation connection modes at urban rail transit stations based on the MNL model is constructed, and calibrated by using the data from the questionnaire surveys. ［Result & Conclusion］ The results of model calibration indicate that only the characteristic variable of connection distance passes the significance test, and there is no obvious correlation between factors such as gender, travel purpose and the choice of rail transit connection modes. The investigated survey data fails to capture the correlation between the age of travelers and the choice of transportation connection modes. In the test of the improved model for classifying the transportation connection modes of the inbound passenger flow at Tonghe Station, on both sunny and rainy days，the passenger flow accuracy rates during the evening peak hours reach 86.0% and 77.2% respectively, showing that the improved model for the above scenario is superior to the traditional one. The improved model is applied to the target stations with similar land use attributes, confirming its effectiveness and rationality in actual passenger flow prediction. |
| format | Article |
| id | doaj-art-f6df91b6cdfd4d69ad8afdce0dd3c40d |
| institution | Kabale University |
| issn | 1007-869X |
| language | zho |
| publishDate | 2025-01-01 |
| publisher | Urban Mass Transit Magazine Press |
| record_format | Article |
| series | Chengshi guidao jiaotong yanjiu |
| spelling | doaj-art-f6df91b6cdfd4d69ad8afdce0dd3c40d2025-01-13T08:04:42ZzhoUrban Mass Transit Magazine PressChengshi guidao jiaotong yanjiu1007-869X2025-01-0128120421110.16037/j.1007-869x.2025.01.037Modes at Guangzhou Urban Rail Transit StationsCAI Hanzhe0LIN Junyan1WANG Zhi2YE Xiafei3Guangzhou Metro Design & Research Institute Co., Ltd., 510010, Guangzhou, ChinaShanghai Key Laboratory of Rail Infrastructure Durability and System Safety, Tongji University, 201804, Shanghai, ChinaShanghai Key Laboratory of Rail Infrastructure Durability and System Safety, Tongji University, 201804, Shanghai, ChinaShanghai Key Laboratory of Rail Infrastructure Durability and System Safety, Tongji University, 201804, Shanghai, China［Objective］ In order to accurately calculate the required scale of the connection facilities at Guangzhou urban rail transit stations, it is necessary to study and predict the sharing rate of passenger flow under each transportation connection mode at the stations. ［Method］ Based on the on-site investigations of the inbound passenger flow connection data of Nancun Wanbo Station, Tonghe Station and other stations in Guangzhou urban rail transit under different weather conditions, on the basis of the traditional MNL (Multinomial Logit) model, and in consideration of the impact of weather and differences in the inbound and outbound connection characteristics, an improved model for classifying the passenger flow transportation connection modes at urban rail transit stations based on the MNL model is constructed, and calibrated by using the data from the questionnaire surveys. ［Result & Conclusion］ The results of model calibration indicate that only the characteristic variable of connection distance passes the significance test, and there is no obvious correlation between factors such as gender, travel purpose and the choice of rail transit connection modes. The investigated survey data fails to capture the correlation between the age of travelers and the choice of transportation connection modes. In the test of the improved model for classifying the transportation connection modes of the inbound passenger flow at Tonghe Station, on both sunny and rainy days，the passenger flow accuracy rates during the evening peak hours reach 86.0% and 77.2% respectively, showing that the improved model for the above scenario is superior to the traditional one. The improved model is applied to the target stations with similar land use attributes, confirming its effectiveness and rationality in actual passenger flow prediction.https://umt1998.tongji.edu.cn/journal/paper/doi/10.16037/j.1007-869x.2025.01.037.htmlurban rail transitpassenger flow at stationsclassification of transportation connection modesimproved model |
| spellingShingle | CAI Hanzhe LIN Junyan WANG Zhi YE Xiafei Modes at Guangzhou Urban Rail Transit Stations Chengshi guidao jiaotong yanjiu urban rail transit passenger flow at stations classification of transportation connection modes improved model |
| title | Modes at Guangzhou Urban Rail Transit Stations |
| title_full | Modes at Guangzhou Urban Rail Transit Stations |
| title_fullStr | Modes at Guangzhou Urban Rail Transit Stations |
| title_full_unstemmed | Modes at Guangzhou Urban Rail Transit Stations |
| title_short | Modes at Guangzhou Urban Rail Transit Stations |
| title_sort | modes at guangzhou urban rail transit stations |
| topic | urban rail transit passenger flow at stations classification of transportation connection modes improved model |
| url | https://umt1998.tongji.edu.cn/journal/paper/doi/10.16037/j.1007-869x.2025.01.037.html |
| work_keys_str_mv | AT caihanzhe modesatguangzhouurbanrailtransitstations AT linjunyan modesatguangzhouurbanrailtransitstations AT wangzhi modesatguangzhouurbanrailtransitstations AT yexiafei modesatguangzhouurbanrailtransitstations |