Volume 35, Issue 3
Original Research Article

The Multiscale Importance of Road Segments in a Network Disruption Scenario: A Risk‐Based Approach

Susana Freiria

Corresponding Author

CES, Institute for Interdisciplinary Research, University of Coimbra, Coimbra, Portugal

Address correspondence to Susana Freiria, CES, Institute for Interdisciplinary Research, University of Coimbra, Casa Costa Alemão ‐ Pólo II Rua Dom Francisco de Lemos, 3030-789 Coimbra, Portugal; E-mail address: susanaf@ces.uc.pt.Search for more papers by this author
Alexandre O. Tavares

CES, Department of Earth Sciences, Faculty of Sciences and Technology, University of Coimbra, Coimbra, Portugal

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Rui Pedro Julião

e‐GEO, Research Centre for Geography and Regional Planning, Faculdade de CiênciasSociais e Humanas, Universidade Nova de Lisboa, Lisboa, Portuga

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First published: 26 September 2014
Citations: 9

Abstract

This article addresses the problem of the multiscale importance of road networks, with the aim of helping to establish a more resilient network in the event of a road disruption scenario. A new model for identifying the most important roads is described and applied on a local and regional scale. The work presented here represents a step forward, since it focuses on the interaction between identifying the most important roads in a network that connect people and health services, the specificity of the natural hazards that threaten the normal functioning of the network, and an assessment of the consequences of three real‐world interruptions from a multiscale perspective. The case studies concern three different past events: road interruptions due to a flood, a forest fire, and a mass movement. On the basis of the results obtained, it is possible to establish the roads for which risk management should be a priority. The multiscale perspective shows that in a road interruption the regional system may have the capacity to reorganize itself, although the interruption may have consequences for local dynamics. Coordination between local and regional scales is therefore important. The model proposed here allows for the scaling of emergency response facilities and human and physical resources. It represents an innovative approach to defining priorities, not only in the prevention phase but also in terms of the response to natural disasters, such as awareness of the consequences of road disruption for the rescue services sent out to local communities.

Number of times cited according to CrossRef: 9

  • Network Reconfiguration for Increasing Transportation System Resilience Under Extreme Events, Risk Analysis, 10.1111/risa.13320, 39, 9, (2054-2075), (2019).
  • Analytical Assessment of Effective Maintenance Operations on At-Grade Unsignalized Intersections, Transportation [Working Title], 10.5772/intechopen.75294, (2019).
  • Attributes, challenges and future directions of community resilience, Frontiers of Engineering Management, 10.15302/J-FEM-2018030, 0, 0, (0), (2018).
  • Multiscale identification of emergent and future conditions along corridors of transportation networks, Reliability Engineering & System Safety, 10.1016/j.ress.2017.06.005, 167, (255-263), (2017).
  • Robustness Assessment of Urban Road Network with Consideration of Multiple Hazard Events, Risk Analysis, 10.1111/risa.12802, 37, 8, (1477-1494), (2017).
  • Infrastructure hazard resilience trends: an analysis of 25 years of research, Natural Hazards, 10.1007/s11069-017-2792-8, 87, 2, (773-789), (2017).
  • Multidimensional Approach for Tsunami Vulnerability Assessment: Framing the Territorial Impacts in Two Municipalities in Portugal, Risk Analysis, 10.1111/risa.12678, 37, 4, (788-811), (2016).
  • Evaluating the impact and risk of pluvial flash flood on intra-urban road network: A case study in the city center of Shanghai, China, Journal of Hydrology, 10.1016/j.jhydrol.2016.03.037, 537, (138-145), (2016).
  • Understanding road network dynamics: Link-based topological patterns, Journal of Transport Geography, 10.1016/j.jtrangeo.2015.05.002, 46, (55-66), (2015).

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