Travel Behaviour and Community Needs for Resilience Hubs

Thayanne G.M. Ciriaco , Stephen D. Wong
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Abstract

Communities continue to experience significant and damaging disasters, which has prompted governments to devise solutions to protect lives and reduce overall impacts. One emerging strategy is the development of resilience hubs, which can serve the community during disasters and everyday conditions. However, most research and guidance for resilience hubs remain largely theoretical and do not account for community needs. Moreover, research and practice have not fully integrated transportation into resilience hub design, such as how travel to and from resilience hubs is facilitated.

Consequently, we conducted an empirical study leveraging statistical tools and models using data from a survey of Edmonton, Canada, residents (n = 950) conducted between November 2022 and February 2023. Through descriptive statistics and discrete choice models, we uncover important results related to resilience hub usage, transportation design, and mode choice in both normal and disaster conditions. Modelling results found a strong influence of household characteristics on the normal usage of resilience hubs, while individual characteristics were more influential on hub usage as a temporary shelter. No clear patterns of variables influenced mode choice (travel to/from hubs), except the insignificance of resilience hub usage (i.e., trip purpose) for normal conditions. For mode, the results showed a strong preference for private vehicles, yet still a relatively high multi-modal split (e.g., walking, transit, shared mobility). Residents also preferred highly localized resilience hubs with a variety of transportation options, services, and amenities. Using these results, we provide a series of practice-oriented recommendations for communities in the design and operations of resilience hubs.

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抗灾中心的出行行为和社区需求
社区不断遭受重大破坏性灾害,这促使各国政府制定保护生命和减少总体影响的解决方案。其中一项新兴战略就是发展抗灾中心,在灾害和日常条件下为社区提供服务。然而,大多数关于抗灾中心的研究和指导在很大程度上仍然停留在理论层面,并没有考虑到社区的需求。因此,我们利用统计工具和模型,利用 2022 年 11 月至 2023 年 2 月期间对加拿大埃德蒙顿居民(n = 950)的调查数据,开展了一项实证研究。通过描述性统计和离散选择模型,我们发现了在正常和灾害条件下与弹性枢纽使用、交通设计和模式选择相关的重要结果。建模结果发现,家庭特征对正常使用抗灾中心有很大影响,而个人特征对作为临时避难所使用抗灾中心的影响更大。除了在正常情况下使用抗灾中心(即出行目的)的影响不大外,其他变量对模式选择(往返中心的旅行)没有明显的影响。就出行方式而言,结果显示居民更倾向于选择私家车,但多种出行方式(如步行、公交、共享交通)的比例仍然相对较高。此外,居民还偏好高度本地化的、具有多种交通选择、服务和便利设施的弹性枢纽。利用这些结果,我们为社区设计和运营弹性枢纽提供了一系列以实践为导向的建议。
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