Show simple item record

dc.contributor.author
Aydin, Nazli Y.
dc.contributor.author
Duzgun, H. Sebnem
dc.contributor.author
Heinimann, Hans R.
dc.contributor.author
Wenzel, Friedemann
dc.contributor.author
Gnyawali, Kaushal R.
dc.date.accessioned
2018-08-16T09:13:21Z
dc.date.available
2018-08-16T07:56:35Z
dc.date.available
2018-08-16T09:13:21Z
dc.date.issued
2018-10
dc.identifier.issn
2212-4209
dc.identifier.other
10.1016/j.ijdrr.2018.07.022
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/282811
dc.identifier.doi
10.3929/ethz-b-000282811
dc.description.abstract
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. The closed road segments and recovery times were determined through field surveys with locals and governmental authorities, and by investigating the intensity of earthquake-triggered landslides. Our results showed that the proposed approach provides information about the recovery behavior of road networks and simplifies the evaluation process. It is robust enough to extend and assess decision-makers’ preferences for improving resilience.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
Disaster resilience
en_US
dc.subject
Debris clearance
en_US
dc.subject
Earthquake-triggered landslides
en_US
dc.subject
Graph theory
en_US
dc.subject
Resilience strategies
en_US
dc.subject
Transportation network
en_US
dc.title
Framework for improving the resilience and recovery of transportation networks under geohazard risks
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
dc.date.published
2018-07-30
ethz.journal.title
International Journal of Disaster Risk Reduction
ethz.journal.volume
31
en_US
ethz.pages.start
832
en_US
ethz.pages.end
843
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.scopus
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2018-08-16T07:56:48Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-08-16T09:13:25Z
ethz.rosetta.lastUpdated
2018-11-07T23:24:58Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Framework%20for%20improving%20the%20resilience%20and%20recovery%20of%20transportation%20networks%20under%20geohazard%20risks&rft.jtitle=International%20Journal%20of%20Disaster%20Risk%20Reduction&rft.date=2018-10&rft.volume=31&rft.spage=832&rft.epage=843&rft.issn=2212-4209&rft.au=Aydin,%20Nazli%20Y.&Duzgun,%20H.%20Sebnem&Heinimann,%20Hans%20R.&Wenzel,%20Friedemann&Gnyawali,%20Kaushal%20R.&rft.genre=article&
 Search via SFX

Files in this item

Thumbnail

Publication type

Show simple item record