Phase transition-like behaviors of propagation of passenger stranding phenomena in subway networks
Abstract Subways are essential for urban commuting, particularly in large metropolitan areas. However, as cities expand, subways face increasing challenges in balancing passenger demand with available service, leading to passengers being stranded at stations. A key issue is that such stranding can p...
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | npj Sustainable Mobility and Transport |
| Online Access: | https://doi.org/10.1038/s44333-025-00045-5 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849334240549797888 |
|---|---|
| author | Xinyi Li Shengda Zhao Liang Wang Qing Wang Xun Zhang Fang Liu Xiaodong Zhang Daqing Gong Xinghua Zhang |
| author_facet | Xinyi Li Shengda Zhao Liang Wang Qing Wang Xun Zhang Fang Liu Xiaodong Zhang Daqing Gong Xinghua Zhang |
| author_sort | Xinyi Li |
| collection | DOAJ |
| description | Abstract Subways are essential for urban commuting, particularly in large metropolitan areas. However, as cities expand, subways face increasing challenges in balancing passenger demand with available service, leading to passengers being stranded at stations. A key issue is that such stranding can propagate across multiple stations, forming clusters that significantly impact global service efficiency. This phenomenon, termed “propagation of passenger stranding (PPS)”, is studied based on a data-driven model. A transition point, determined by the shifting balance between supply and demand, dictates whether PPS will grow or diminish, serving as a threshold for subway service resilience. A nonlocal correlation pattern, key to PPS formation, is revealed using the eigen microstate method, alongside the local balance of demand and service and network topology. The findings reveal the resilience mechanism of service systems in networks where trains serve as the medium and identify key factors for enhancing resilience. |
| format | Article |
| id | doaj-art-3dfca79bb20d4a8696a1037941054b00 |
| institution | Kabale University |
| issn | 3004-8664 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Sustainable Mobility and Transport |
| spelling | doaj-art-3dfca79bb20d4a8696a1037941054b002025-08-20T03:45:36ZengNature Portfolionpj Sustainable Mobility and Transport3004-86642025-07-012111110.1038/s44333-025-00045-5Phase transition-like behaviors of propagation of passenger stranding phenomena in subway networksXinyi Li0Shengda Zhao1Liang Wang2Qing Wang3Xun Zhang4Fang Liu5Xiaodong Zhang6Daqing Gong7Xinghua Zhang8School of Physical Science and Engineering, Beijing Jiaotong UniversitySchool of Physical Science and Engineering, Beijing Jiaotong UniversitySchool of Economics and Management, Beijing Jiaotong UniversitySchool of Physical Science and Engineering, Beijing Jiaotong UniversityExecutive Office, Beijing Capital Metro Corporation LimitedMarketing Department, Beijing Capital Metro Corporation LimitedDigital City Planning Department, Beijing Municipal Institute of City Planning and DesignSchool of Economics and Management, Beijing Jiaotong UniversitySchool of Physical Science and Engineering, Beijing Jiaotong UniversityAbstract Subways are essential for urban commuting, particularly in large metropolitan areas. However, as cities expand, subways face increasing challenges in balancing passenger demand with available service, leading to passengers being stranded at stations. A key issue is that such stranding can propagate across multiple stations, forming clusters that significantly impact global service efficiency. This phenomenon, termed “propagation of passenger stranding (PPS)”, is studied based on a data-driven model. A transition point, determined by the shifting balance between supply and demand, dictates whether PPS will grow or diminish, serving as a threshold for subway service resilience. A nonlocal correlation pattern, key to PPS formation, is revealed using the eigen microstate method, alongside the local balance of demand and service and network topology. The findings reveal the resilience mechanism of service systems in networks where trains serve as the medium and identify key factors for enhancing resilience.https://doi.org/10.1038/s44333-025-00045-5 |
| spellingShingle | Xinyi Li Shengda Zhao Liang Wang Qing Wang Xun Zhang Fang Liu Xiaodong Zhang Daqing Gong Xinghua Zhang Phase transition-like behaviors of propagation of passenger stranding phenomena in subway networks npj Sustainable Mobility and Transport |
| title | Phase transition-like behaviors of propagation of passenger stranding phenomena in subway networks |
| title_full | Phase transition-like behaviors of propagation of passenger stranding phenomena in subway networks |
| title_fullStr | Phase transition-like behaviors of propagation of passenger stranding phenomena in subway networks |
| title_full_unstemmed | Phase transition-like behaviors of propagation of passenger stranding phenomena in subway networks |
| title_short | Phase transition-like behaviors of propagation of passenger stranding phenomena in subway networks |
| title_sort | phase transition like behaviors of propagation of passenger stranding phenomena in subway networks |
| url | https://doi.org/10.1038/s44333-025-00045-5 |
| work_keys_str_mv | AT xinyili phasetransitionlikebehaviorsofpropagationofpassengerstrandingphenomenainsubwaynetworks AT shengdazhao phasetransitionlikebehaviorsofpropagationofpassengerstrandingphenomenainsubwaynetworks AT liangwang phasetransitionlikebehaviorsofpropagationofpassengerstrandingphenomenainsubwaynetworks AT qingwang phasetransitionlikebehaviorsofpropagationofpassengerstrandingphenomenainsubwaynetworks AT xunzhang phasetransitionlikebehaviorsofpropagationofpassengerstrandingphenomenainsubwaynetworks AT fangliu phasetransitionlikebehaviorsofpropagationofpassengerstrandingphenomenainsubwaynetworks AT xiaodongzhang phasetransitionlikebehaviorsofpropagationofpassengerstrandingphenomenainsubwaynetworks AT daqinggong phasetransitionlikebehaviorsofpropagationofpassengerstrandingphenomenainsubwaynetworks AT xinghuazhang phasetransitionlikebehaviorsofpropagationofpassengerstrandingphenomenainsubwaynetworks |