Earthquake Social Vulnerability Assessment Using Entropy Method

Jena, R; Pradhan, B

Earthquake Social Vulnerability Assessment Using Entropy Method

Jena, R

Pradhan, B

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Publisher:: IOP PUBLISHING LTD
Publication Type:: Conference Proceeding
Citation:: IOP Conference Series: Earth and Environmental Science, 2020, 540, (1)
Issue Date:: 2020-08-04

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Field	Value	Language
dc.contributor.author	Jena, R https://orcid.org/0000-0002-6180-4673
dc.contributor.author	Pradhan, B https://orcid.org/0000-0001-9863-2054
dc.contributor.editor	Omar, H
dc.contributor.editor	Shariff, ARM
dc.contributor.editor	Sathyamoorthy, D
dc.contributor.editor	Mat, RC
dc.contributor.editor	Tarmidi, Z
dc.contributor.editor	Ismail, MH
dc.date	2020-10-20
dc.date.accessioned	2021-05-05T01:23:45Z
dc.date.available	2021-05-05T01:23:45Z
dc.date.issued	2020-08-04
dc.identifier.citation	IOP Conference Series: Earth and Environmental Science, 2020, 540, (1)
dc.identifier.issn	1755-1307
dc.identifier.issn	1755-1315
dc.identifier.uri	http://hdl.handle.net/10453/148678
dc.description.abstract	Earthquake is the most devastating event in the current time. Given the probability of highly dangerous future events, risk estimation should be given focus by using the limited and freely available data to predict future vulnerable scenarios of an area that observe the involved uncertainty in the analysis. However, vulnerability assessments should be prospective and based on expected scientifically acceptable events. Therefore, we applied a valuable weight calculation approach called entropy to produce a social vulnerability map for a particular city. We used the population data, including educated and non-educated people and household information, to develop the earthquake social vulnerability map. We used entropy to evaluate the actual weight and produce a good quality map because of some difficulty in the fuzzy synthetic evaluation method for factor weight calculation and relationship ignorance among layers. Results showed that approximately 6% of the population is under very high vulnerability and around 14% are under high vulnerability areas in Banda Aceh City. The developed model is accurate by considering the inventory earthquake vulnerability map. The applied method was favorable, and the process provided good evaluation results, which was reasonable for earthquake hazard, vulnerability, and risk assessment.
dc.language	en
dc.publisher	IOP PUBLISHING LTD
dc.relation.ispartof	IOP Conference Series: Earth and Environmental Science
dc.relation.ispartof	10th Institution-of-Geospatial-and-Remote-Sensing-Malaysia(IGRSM) International Conference and Exhibition on Geospatial and Remote Sensing (IGRSM)
dc.relation.ispartofseries	IOP Conference Series-Earth and Environmental Science
dc.relation.isbasedon	10.1088/1755-1315/540/1/012079
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Earthquake Social Vulnerability Assessment Using Entropy Method
dc.type	Conference Proceeding
utslib.citation.volume	540
utslib.location.activity	ELECTR NETWORK
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	open_access	*
dc.date.updated	2021-05-05T01:23:44Z
pubs.finish-date	2020-10-21
pubs.issue	1
pubs.publication-status	Published
pubs.start-date	2020-10-20
pubs.volume	540
utslib.citation.issue	1

Abstract:

Earthquake is the most devastating event in the current time. Given the probability of highly dangerous future events, risk estimation should be given focus by using the limited and freely available data to predict future vulnerable scenarios of an area that observe the involved uncertainty in the analysis. However, vulnerability assessments should be prospective and based on expected scientifically acceptable events. Therefore, we applied a valuable weight calculation approach called entropy to produce a social vulnerability map for a particular city. We used the population data, including educated and non-educated people and household information, to develop the earthquake social vulnerability map. We used entropy to evaluate the actual weight and produce a good quality map because of some difficulty in the fuzzy synthetic evaluation method for factor weight calculation and relationship ignorance among layers. Results showed that approximately 6% of the population is under very high vulnerability and around 14% are under high vulnerability areas in Banda Aceh City. The developed model is accurate by considering the inventory earthquake vulnerability map. The applied method was favorable, and the process provided good evaluation results, which was reasonable for earthquake hazard, vulnerability, and risk assessment.

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http://hdl.handle.net/10453/148678