{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T15:36:04Z","timestamp":1772724964764,"version":"3.50.1"},"reference-count":51,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T00:00:00Z","timestamp":1730073600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Electronics"],"abstract":"<jats:p>Urban systems are vulnerable to disturbances from both natural and human origins, which can disrupt their normal functioning. Evaluating the resilience of these systems, particularly the main transportation networks and their usage levels, is crucial and innovative for understanding the impacts of such disturbances. Thus, this work aims to assess resilience in urban mobility through the probability of a particular journey using a specific mode: \u201csurviving\u201d through critical travel time. To achieve this, a methodology was developed based on the Weibull model with gamma heterogeneity (hazard-based duration models), which was applied to a medium-sized Portuguese municipality. Eighteen groups representing active populations were set and compared. The results indicated that using the bus and cycling are the most resilient modes of transport, whereas walking is the least resilient. Additionally, a specific group was identified as having lower mobility resilience, making them more vulnerable to disruptions in the transport system. Finally, the findings of this study demonstrate the practical application of this methodology, which relies on travel time to assess resilience and, thus, guide political attention and actions to the less resilient mode. Future research should aim to develop a comprehensive framework that incorporates several variables to fully describe the complex nature of transport systems and their resilience.<\/jats:p>","DOI":"10.3390\/electronics13214220","type":"journal-article","created":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T07:47:18Z","timestamp":1730101638000},"page":"4220","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Assessing Urban Mobility Resilience: An Exploratory Approach Using Hazard-Based Duration Models"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6067-669X","authenticated-orcid":false,"given":"Lu\u00eds A. P.","family":"Jardim Gon\u00e7alves","sequence":"first","affiliation":[{"name":"CTAC\u2014Centre for Territory Ambient and Construction, School of Engineering, University of Minho, 4800-058 Guimar\u00e3es, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7469-3186","authenticated-orcid":false,"given":"Sara","family":"Ferreira","sequence":"additional","affiliation":[{"name":"CITTA\u2014Centre for Territory, Transports and Environment, Faculdade de Engenharia da Universidade do Porto, Rua Dr Roberto Frias s\/n, 4200-465 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9447-2110","authenticated-orcid":false,"given":"Paulo J. G.","family":"Ribeiro","sequence":"additional","affiliation":[{"name":"CTAC\u2014Centre for Territory Ambient and Construction, School of Engineering, University of Minho, 4800-058 Guimar\u00e3es, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2024,10,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"756","DOI":"10.1126\/science.1150195","article-title":"Global Change and the Ecology of Cities","volume":"319","author":"Grimm","year":"2008","journal-title":"Science"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1016\/j.jue.2015.09.002","article-title":"Demography, Urbanization and Development: Rural Push, Urban Pull and \u2026 urban Push?","volume":"98","author":"Jedwab","year":"2017","journal-title":"J. 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