将地理上的相互依存关系纳入多式联运公共交通网络的复原力评估中

IF 5.7 2区 工程技术 Q1 ECONOMICS Journal of Transport Geography Pub Date : 2024-06-01 DOI:10.1016/j.jtrangeo.2024.103934
Georgia Boura, Neil S. Ferguson
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引用次数: 0

摘要

降雪、洪水和风暴等恶劣天气事件可能会影响广泛的地理区域,并同时对离散的交通基础设施网络(如公路、铁路)造成不利影响,从而揭示出这些网络之间存在地理上的相互依赖关系。在本文中,我们分别根据冗余性和可替代性的概念,开发了两种基于可达性的测量方法来评估地理相互依赖对复原力的影响。这些测量方法适用于苏格兰的铁路和长途公共汽车网络。结果显示,由于地理上的相互依存性,冗余性和可替代性对这些离散模式所提供地点的可达性的综合影响降低了,损失程度与潜在事件的空间足迹呈正相关。研究结果可用于确定网络中地理相互依赖潜在影响最大的部分,因此需要网络管理人员进行更深入的审查。
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Incorporating geographic interdependencies into the resilience assessment of multimodal public transport networks

Severe weather events, such as snowfall, flooding and storms, may affect wide geographical areas and adversely impact discrete transport infrastructure networks (e.g. road, rail) at the same time, thus revealing the existence of geographic interdependencies between these networks. In this paper, we develop two accessibility-based measures to assess the impact of geographic interdependency on resilience based on the concepts of redundancy and substitutability, respectively. These measures are applied to the railway and long-distance bus networks in Scotland. Results reveal that the combined effect of redundancy and substitutability on the accessibility of locations offered by these discrete modes is reduced due to geographic interdependencies, with the extent of losses being positively associated with the spatial footprint of potential events. The results can be used to identify parts of the network where the potential impacts of geographic interdependencies are greatest, and thus require more in-depth scrutiny by network managers.

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来源期刊
CiteScore
11.50
自引率
11.50%
发文量
197
期刊介绍: A major resurgence has occurred in transport geography in the wake of political and policy changes, huge transport infrastructure projects and responses to urban traffic congestion. The Journal of Transport Geography provides a central focus for developments in this rapidly expanding sub-discipline.
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