Impact Analysis of Road and Parking Lot Congestion on Urban Rail Transit Modal Share
［Objective］To determine the optimal metrics indicators for measuring parking lot congestion and road congestion levels, it is essential to study their impact on the modal share of urban rail transit. ［Method］Eight potential metrics indicators for measuring parking lot congestion are proposed, consid...
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| Format: | Article |
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Urban Mass Transit Magazine Press
2024-12-01
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| Series: | Chengshi guidao jiaotong yanjiu |
| Subjects: | |
| Online Access: | https://umt1998.tongji.edu.cn/journal/paper/doi/10.16037/j.1007-869x.2024.12.020.html |
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| _version_ | 1846127805433118720 |
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| author | PAN Ke WANG Sitao YE Xiafei |
| author_facet | PAN Ke WANG Sitao YE Xiafei |
| author_sort | PAN Ke |
| collection | DOAJ |
| description | ［Objective］To determine the optimal metrics indicators for measuring parking lot congestion and road congestion levels, it is essential to study their impact on the modal share of urban rail transit. ［Method］Eight potential metrics indicators for measuring parking lot congestion are proposed, considering factors such as the number of parking lots, the number of parking spaces, the walking influence range of urban rail transit stations, and travel distance reductions. Additionally, two possible metrics for road congestion are introduced, taking into account road section length and congestion level. Using the inter district transportation data in Kinki metropolitan region of Japan, covering passenger flow, road traffic and parking lots, an empirical analysis is conducted to evaluate the influence of each metric indicator on the variation in urban rail transit modal share. Correlation analysis is then used to determine the optimal metrics. ［Result & Conclusion］Increasing the destination parking lot and road congestion levels leads to a higher all-day urban rail transit modal share between traffic zones. When the O (origin) traffic zone is located in urban or suburban areas, the optimal metric for destination parking lot congestion is advisable to adopt the proportion of highly saturated parking spaces within a traffic zone, adjusted according to distance. When the O-zone is in the central district, the optimal metric indicator for congestion in destination parking lots should adopt the proportion of highly saturated parking lots within the traffic zone, adjusted according to distance reductions. The best metric indicator for road congestion should adopt the total length of congested roads between traffic zones weighted by congestion levels. |
| format | Article |
| id | doaj-art-3952b54d70b541818f92a9e84f6e9022 |
| institution | Kabale University |
| issn | 1007-869X |
| language | zho |
| publishDate | 2024-12-01 |
| publisher | Urban Mass Transit Magazine Press |
| record_format | Article |
| series | Chengshi guidao jiaotong yanjiu |
| spelling | doaj-art-3952b54d70b541818f92a9e84f6e90222024-12-11T08:28:04ZzhoUrban Mass Transit Magazine PressChengshi guidao jiaotong yanjiu1007-869X2024-12-01271211912610.16037/j.1007-869x.2024.12.020Impact Analysis of Road and Parking Lot Congestion on Urban Rail Transit Modal SharePAN Ke0WANG Sitao1YE Xiafei2Beijing General Municipal Engineering Design & Research Institute Co., Ltd., 100082, Beijing, ChinaTechnology Center of Shanghai Shentong Metro Group Co., Ltd., 201103, Shanghai, ChinaKey Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, 201804, Shanghai, China［Objective］To determine the optimal metrics indicators for measuring parking lot congestion and road congestion levels, it is essential to study their impact on the modal share of urban rail transit. ［Method］Eight potential metrics indicators for measuring parking lot congestion are proposed, considering factors such as the number of parking lots, the number of parking spaces, the walking influence range of urban rail transit stations, and travel distance reductions. Additionally, two possible metrics for road congestion are introduced, taking into account road section length and congestion level. Using the inter district transportation data in Kinki metropolitan region of Japan, covering passenger flow, road traffic and parking lots, an empirical analysis is conducted to evaluate the influence of each metric indicator on the variation in urban rail transit modal share. Correlation analysis is then used to determine the optimal metrics. ［Result & Conclusion］Increasing the destination parking lot and road congestion levels leads to a higher all-day urban rail transit modal share between traffic zones. When the O (origin) traffic zone is located in urban or suburban areas, the optimal metric for destination parking lot congestion is advisable to adopt the proportion of highly saturated parking spaces within a traffic zone, adjusted according to distance. When the O-zone is in the central district, the optimal metric indicator for congestion in destination parking lots should adopt the proportion of highly saturated parking lots within the traffic zone, adjusted according to distance reductions. The best metric indicator for road congestion should adopt the total length of congested roads between traffic zones weighted by congestion levels.https://umt1998.tongji.edu.cn/journal/paper/doi/10.16037/j.1007-869x.2024.12.020.htmlurban rail transiturban rail transit modal shareparking lot congestion levelroad congestion level |
| spellingShingle | PAN Ke WANG Sitao YE Xiafei Impact Analysis of Road and Parking Lot Congestion on Urban Rail Transit Modal Share Chengshi guidao jiaotong yanjiu urban rail transit urban rail transit modal share parking lot congestion level road congestion level |
| title | Impact Analysis of Road and Parking Lot Congestion on Urban Rail Transit Modal Share |
| title_full | Impact Analysis of Road and Parking Lot Congestion on Urban Rail Transit Modal Share |
| title_fullStr | Impact Analysis of Road and Parking Lot Congestion on Urban Rail Transit Modal Share |
| title_full_unstemmed | Impact Analysis of Road and Parking Lot Congestion on Urban Rail Transit Modal Share |
| title_short | Impact Analysis of Road and Parking Lot Congestion on Urban Rail Transit Modal Share |
| title_sort | impact analysis of road and parking lot congestion on urban rail transit modal share |
| topic | urban rail transit urban rail transit modal share parking lot congestion level road congestion level |
| url | https://umt1998.tongji.edu.cn/journal/paper/doi/10.16037/j.1007-869x.2024.12.020.html |
| work_keys_str_mv | AT panke impactanalysisofroadandparkinglotcongestiononurbanrailtransitmodalshare AT wangsitao impactanalysisofroadandparkinglotcongestiononurbanrailtransitmodalshare AT yexiafei impactanalysisofroadandparkinglotcongestiononurbanrailtransitmodalshare |