← 研踪 PaperTrailarXiv:2512.03766 · v2
Inaccessibility in public transit networks: A study of the London and New York City subway networks
首次提交 2025-12-03 21:15
版本更新 2026-11-11 23:48
雷达观测 2026-11-13 14:16
摘要
The study of networks derived from infrastructure systems has received considerable attention, yet the accessibility of such systems, remains comparatively underexplored. This study examines infrastructure-based accessibility in two major legacy transit systems, the London Underground and the New York City Subway. We construct accessibility-restricted subnetworks in which nodes represent accessible stations and edges represent connections between them, and compare them with the corresponding full transit networks. We analyze the cyclomatic number, betweenness, and closeness centrality to identify key accessible hubs and differences in network organization. London has a larger share of accessible stations, and its accessible network retains more of the alternative routes of its full network, whereas New York City has a more compact accessible core concentrated around central Manhattan and major interchanges. Comparing the observed accessible stations with random sets of the same size, we find that in London they have higher betweenness centrality than random allocations, but more of their stations are beyond two stops of an accessible station, consistent with accessibility concentration at major interchanges and along fully step-free lines. In New York City, their higher betweenness centrality is fully explained by their concentration at interchanges, and their coverage is similar to that of random allocations. We also examine income and daytime activity around accessible stations. In both systems, several of the most central accessible stations are in high-activity locations, whereas accessible stations show no consistent relationship with median income. Our findings highlight substantial differences in accessibility between and within the two systems and demonstrate the utility of network-theoretic methods for understanding and improving transit infrastructure.
作者备注：12 figures, 5 tables
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v2 · 2026-11-11 23:48 · 最新观测版本
Inaccessibility in public transit networks: A study of the London and New York City subway networks
The study of networks derived from infrastructure systems has received considerable attention, yet the accessibility of such systems, remains comparatively underexplored. This study examines infrastructure-based accessibility in two major legacy transit systems, the London Underground and the New York City Subway. We construct accessibility-restricted subnetworks in which nodes represent accessible stations and edges represent connections between them, and compare them with the corresponding full transit networks. We analyze the cyclomatic number, betweenness, and closeness centrality to identify key accessible hubs and differences in network organization. London has a larger share of accessible stations, and its accessible network retains more of the alternative routes of its full network, whereas New York City has a more compact accessible core concentrated around central Manhattan and major interchanges. Comparing the observed accessible stations with random sets of the same size, we find that in London they have higher betweenness centrality than random allocations, but more of their stations are beyond two stops of an accessible station, consistent with accessibility concentration at major interchanges and along fully step-free lines. In New York City, their higher betweenness centrality is fully explained by their concentration at interchanges, and their coverage is similar to that of random allocations. We also examine income and daytime activity around accessible stations. In both systems, several of the most central accessible stations are in high-activity locations, whereas accessible stations show no consistent relationship with median income. Our findings highlight substantial differences in accessibility between and within the two systems and demonstrate the utility of network-theoretic methods for understanding and improving transit infrastructure.
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