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Framework for improving the resilience and recovery of transportation networks under geohazard risks

Aydin, Nazli Yonca; Duzgun, H. Sebnem; Heinimann, Hans Rudolf; Wenzel, Friedemann 1; Gnyawali, Kaushal Raj
1 Geophysikalisches Institut (GPI), Karlsruher Institut für Technologie (KIT)


Rural transportation networks are highly susceptible to geohazards such as earthquakes and landslides. Indirect losses can be severe because the breakdown of a transportation network aggravates rescue, supply, and other recovery activities. The operations and logistics of rural networks that are under seismic risks must be managed using the limited resources specifically in developing countries. We propose a methodology to evaluate road recovery strategies for restoring connectivity after blockages due to earthquakes and earthquake-triggered landslides. This paper gives insight into the recovery process, which can be used by decision-makers for enhancing resilience and supplying immediate relief to rural areas. The proposed framework has four steps: 1) identification of strategies for increasing recovery performance, 2) determination of graph-based metrics to represent network connectivity, 3) applying topology-based and Monte Carlo simulations to each strategy, and 4) analysis of recovery times to compare these resilience-enhancement strategies. The methodology was tested using a case study from Sindhupalchok District, Nepal, a region that was severely affected by the Gorkha earthquake in 2015. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000085592
Veröffentlicht am 31.08.2018
DOI: 10.1016/j.ijdrr.2018.07.022
Zitationen: 93
Zitationen: 98
Cover der Publikation
Zugehörige Institution(en) am KIT Geophysikalisches Institut (GPI)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2018
Sprache Englisch
Identifikator ISSN: 2212-4209
KITopen-ID: 1000085592
Erschienen in International journal of disaster risk reduction
Verlag Elsevier
Band 31
Seiten 832-843
Schlagwörter Disaster resilience, Debris clearance, Earthquake-triggered landslides, Graph theory, Resilience strategies, Transportation network
Nachgewiesen in Scopus
Web of Science
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