A prescriptive framework for recommending decision attributes of infrastructure disaster recovery problems

dc.contributor.authorZamanifar, Milad
dc.contributor.authorHartmann, Timo
dc.date.accessioned2021-12-09T08:34:40Z
dc.date.available2021-12-09T08:34:40Z
dc.date.issued2021-07-23
dc.description.abstractThis paper proposes a framework to systematically evaluate and select attributes of decision models used in disaster risk management. In doing so, we formalized the attribute selection process as a sequential screening-utility problem by formulating a prescriptive decision model. The aim is to assist decision-makers in producing a ranked list of attributes and selecting a set among them. We developed an evaluation process consisting of ten criteria in three sequential stages. We used a combination of three decision rules for the evaluation process, alongside mathematically integrated compensatory and non-compensatory techniques as the aggregation methods. We implemented the framework in the context of disaster resilient transportation network to investigate its performance and outcomes. Results show that the framework acted as an inclusive systematic decision aiding mechanism and promoted creative and collaborative decision-making. Preliminary investigations suggest the successful application of the framework in evaluating and selecting a tenable set of attributes. Further analyses are required to discuss the performance of the produced attributes. The properties of the resulting attributes and feedback of the users suggest the quality of outcomes compared to the retrospective attributes that were selected in an unaided selection process. Research and practice can use the framework to conduct a systematic problem-structuring phase of decision analysis and select an equitable set of decision attributes.en
dc.description.sponsorshipTU Berlin, Open-Access-Mittel – 2021en
dc.identifier.eissn2194-5411
dc.identifier.issn2194-5403
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/14009
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-12782
dc.language.isoenen
dc.relation.ispartof10.14279/depositonce-16150en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc333.7 Natürliche Ressourcen, Energie und Umwelten
dc.subject.otherattributesen
dc.subject.otherdecision-makingen
dc.subject.otherdisasteren
dc.subject.otherenvironmenten
dc.subject.otherproblem structuringen
dc.subject.otherresilienceen
dc.titleA prescriptive framework for recommending decision attributes of infrastructure disaster recovery problemsen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.doi10.1007/s10669-021-09824-0en
dcterms.bibliographicCitation.issue4en
dcterms.bibliographicCitation.journaltitleEnvironment Systems and Decisionsen
dcterms.bibliographicCitation.originalpublishernameSpringer Natureen
dcterms.bibliographicCitation.originalpublisherplaceNew York, NYen
dcterms.bibliographicCitation.pageend650en
dcterms.bibliographicCitation.pagestart633en
dcterms.bibliographicCitation.volume41en
tub.accessrights.dnbfreeen
tub.affiliationFak. 6 Planen Bauen Umwelt::Inst. Bauingenieurwesen::FG Systemtechnik baulicher Anlagende
tub.affiliation.facultyFak. 6 Planen Bauen Umwelt
tub.affiliation.groupFG Systemtechnik baulicher Anlagen
tub.affiliation.instituteInst. Bauingenieurwesen
tub.publisher.universityorinstitutionTechnische Universität Berlinen

Files

Original bundle
Now showing 1 - 1 of 1
Loading…
Thumbnail Image
Name:
zamanifar_hartmann_2021.pdf
Size:
1.46 MB
Format:
Adobe Portable Document Format
Description:

Collections