GIS and Optimisation: Potential Benefits for Emergency Facility Location in Humanitarian Logistics

Floods are one of the most dangerous and common disasters worldwide, and these disasters are closely linked to the geography of the affected area. As a result, several papers in the academic field of humanitarian logistics have incorporated the use of Geographical Information Systems (GIS) for disas...

Full description

Saved in:
Bibliographic Details
Published in:Geosciences (Basel) 2016-06, Vol.6 (2), p.18
Main Authors: Rodríguez-Espíndola, Oscar, Albores, Pavel, Brewster, Christopher
Format: Article
Language:English
Subjects:
Disaster management
Disasters
Earth science
Emergency preparedness
Environmental risk
Flooding
floods
Geographic information systems
geographical information systems
Geography
humanitarian logistics
Remote sensing
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c385t-8210c5103eba9b8696e7b92c63649b4f0e86afedf0aa12adede08312eb25cdfd3
cites cdi_FETCH-LOGICAL-c385t-8210c5103eba9b8696e7b92c63649b4f0e86afedf0aa12adede08312eb25cdfd3
container_end_page
container_issue 2
container_start_page 18
container_title Geosciences (Basel)
container_volume 6
creator Rodríguez-Espíndola, Oscar
Albores, Pavel
Brewster, Christopher
description Floods are one of the most dangerous and common disasters worldwide, and these disasters are closely linked to the geography of the affected area. As a result, several papers in the academic field of humanitarian logistics have incorporated the use of Geographical Information Systems (GIS) for disaster management. However, most of the contributions in the literature are using these systems for network analysis and display, with just a few papers exploiting the capabilities of GIS to improve planning and preparedness. To show the capabilities of GIS for disaster management, this paper uses raster GIS to analyse potential flooding scenarios and provide input to an optimisation model. The combination is applied to two real-world floods in Mexico to evaluate the value of incorporating GIS for disaster planning. The results provide evidence that including GIS analysis for a decision-making tool in disaster management can improve the outcome of disaster operations by reducing the number of facilities used at risk of flooding. Empirical results imply the importance of the integration of advanced remote sensing images and GIS for future systems in humanitarian logistics.
doi_str_mv 10.3390/geosciences6020018
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_656b749d7f564b1382dc01b281893165</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_656b749d7f564b1382dc01b281893165</doaj_id><sourcerecordid>4021579341</sourcerecordid><originalsourceid>FETCH-LOGICAL-c385t-8210c5103eba9b8696e7b92c63649b4f0e86afedf0aa12adede08312eb25cdfd3</originalsourceid><addsrcrecordid>eNplUU1rGzEQXUoKDYn_QE-Cnt3oY1er7S0NdmIwOJD2LEbSyMjYkiPJB__7KnEphcxlhpk37z1muu4ro9-FmOjdFlOxAaPFIimnlKlP3TWno5wLLsXVf_WXblbKjraYmFCiv-7M4-qFQHRkc6zhEArUkOIP8pwqxhpgT35iRB9qIT5lsjhg3jahM1mCDftQz2Sd7PsOCZE8nQ4QQ4UcILbBNpQabLntPnvYF5z9zTfd7-Xi18PTfL15XD3cr-dWqKHOFWfUDowKNDAZJSeJo5m4lUL2k-k9RSXBo_MUgHFw6JAqwTgaPljnnbjpVhdel2CnjzkcIJ91gqDfGylvNeRmaI9aDtKM_eRGP8jetFNwZykzXDE1CSaHxvXtwnXM6fWEpepdOuXY7Gs2KtpwtFcNxS8om1MpGf0_VUb122v0x9eIP-1vhII</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1780818048</pqid></control><display><type>article</type><title>GIS and Optimisation: Potential Benefits for Emergency Facility Location in Humanitarian Logistics</title><source>Publicly Available Content Database</source><creator>Rodríguez-Espíndola, Oscar ; Albores, Pavel ; Brewster, Christopher</creator><creatorcontrib>Rodríguez-Espíndola, Oscar ; Albores, Pavel ; Brewster, Christopher</creatorcontrib><description>Floods are one of the most dangerous and common disasters worldwide, and these disasters are closely linked to the geography of the affected area. As a result, several papers in the academic field of humanitarian logistics have incorporated the use of Geographical Information Systems (GIS) for disaster management. However, most of the contributions in the literature are using these systems for network analysis and display, with just a few papers exploiting the capabilities of GIS to improve planning and preparedness. To show the capabilities of GIS for disaster management, this paper uses raster GIS to analyse potential flooding scenarios and provide input to an optimisation model. The combination is applied to two real-world floods in Mexico to evaluate the value of incorporating GIS for disaster planning. The results provide evidence that including GIS analysis for a decision-making tool in disaster management can improve the outcome of disaster operations by reducing the number of facilities used at risk of flooding. Empirical results imply the importance of the integration of advanced remote sensing images and GIS for future systems in humanitarian logistics.</description><identifier>ISSN: 2076-3263</identifier><identifier>EISSN: 2076-3263</identifier><identifier>DOI: 10.3390/geosciences6020018</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Disaster management ; Disasters ; Earth science ; Emergency preparedness ; Environmental risk ; Flooding ; floods ; Geographic information systems ; geographical information systems ; Geography ; humanitarian logistics ; Remote sensing</subject><ispartof>Geosciences (Basel), 2016-06, Vol.6 (2), p.18</ispartof><rights>Copyright MDPI AG 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c385t-8210c5103eba9b8696e7b92c63649b4f0e86afedf0aa12adede08312eb25cdfd3</citedby><cites>FETCH-LOGICAL-c385t-8210c5103eba9b8696e7b92c63649b4f0e86afedf0aa12adede08312eb25cdfd3</cites><orcidid>0000-0001-7509-9381</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1780818048/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1780818048?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,25732,27903,27904,36991,44569,74872</link.rule.ids></links><search><creatorcontrib>Rodríguez-Espíndola, Oscar</creatorcontrib><creatorcontrib>Albores, Pavel</creatorcontrib><creatorcontrib>Brewster, Christopher</creatorcontrib><title>GIS and Optimisation: Potential Benefits for Emergency Facility Location in Humanitarian Logistics</title><title>Geosciences (Basel)</title><description>Floods are one of the most dangerous and common disasters worldwide, and these disasters are closely linked to the geography of the affected area. As a result, several papers in the academic field of humanitarian logistics have incorporated the use of Geographical Information Systems (GIS) for disaster management. However, most of the contributions in the literature are using these systems for network analysis and display, with just a few papers exploiting the capabilities of GIS to improve planning and preparedness. To show the capabilities of GIS for disaster management, this paper uses raster GIS to analyse potential flooding scenarios and provide input to an optimisation model. The combination is applied to two real-world floods in Mexico to evaluate the value of incorporating GIS for disaster planning. The results provide evidence that including GIS analysis for a decision-making tool in disaster management can improve the outcome of disaster operations by reducing the number of facilities used at risk of flooding. Empirical results imply the importance of the integration of advanced remote sensing images and GIS for future systems in humanitarian logistics.</description><subject>Disaster management</subject><subject>Disasters</subject><subject>Earth science</subject><subject>Emergency preparedness</subject><subject>Environmental risk</subject><subject>Flooding</subject><subject>floods</subject><subject>Geographic information systems</subject><subject>geographical information systems</subject><subject>Geography</subject><subject>humanitarian logistics</subject><subject>Remote sensing</subject><issn>2076-3263</issn><issn>2076-3263</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNplUU1rGzEQXUoKDYn_QE-Cnt3oY1er7S0NdmIwOJD2LEbSyMjYkiPJB__7KnEphcxlhpk37z1muu4ro9-FmOjdFlOxAaPFIimnlKlP3TWno5wLLsXVf_WXblbKjraYmFCiv-7M4-qFQHRkc6zhEArUkOIP8pwqxhpgT35iRB9qIT5lsjhg3jahM1mCDftQz2Sd7PsOCZE8nQ4QQ4UcILbBNpQabLntPnvYF5z9zTfd7-Xi18PTfL15XD3cr-dWqKHOFWfUDowKNDAZJSeJo5m4lUL2k-k9RSXBo_MUgHFw6JAqwTgaPljnnbjpVhdel2CnjzkcIJ91gqDfGylvNeRmaI9aDtKM_eRGP8jetFNwZykzXDE1CSaHxvXtwnXM6fWEpepdOuXY7Gs2KtpwtFcNxS8om1MpGf0_VUb122v0x9eIP-1vhII</recordid><startdate>20160601</startdate><enddate>20160601</enddate><creator>Rodríguez-Espíndola, Oscar</creator><creator>Albores, Pavel</creator><creator>Brewster, Christopher</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-7509-9381</orcidid></search><sort><creationdate>20160601</creationdate><title>GIS and Optimisation: Potential Benefits for Emergency Facility Location in Humanitarian Logistics</title><author>Rodríguez-Espíndola, Oscar ; Albores, Pavel ; Brewster, Christopher</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c385t-8210c5103eba9b8696e7b92c63649b4f0e86afedf0aa12adede08312eb25cdfd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Disaster management</topic><topic>Disasters</topic><topic>Earth science</topic><topic>Emergency preparedness</topic><topic>Environmental risk</topic><topic>Flooding</topic><topic>floods</topic><topic>Geographic information systems</topic><topic>geographical information systems</topic><topic>Geography</topic><topic>humanitarian logistics</topic><topic>Remote sensing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rodríguez-Espíndola, Oscar</creatorcontrib><creatorcontrib>Albores, Pavel</creatorcontrib><creatorcontrib>Brewster, Christopher</creatorcontrib><collection>CrossRef</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Geosciences (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rodríguez-Espíndola, Oscar</au><au>Albores, Pavel</au><au>Brewster, Christopher</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>GIS and Optimisation: Potential Benefits for Emergency Facility Location in Humanitarian Logistics</atitle><jtitle>Geosciences (Basel)</jtitle><date>2016-06-01</date><risdate>2016</risdate><volume>6</volume><issue>2</issue><spage>18</spage><pages>18-</pages><issn>2076-3263</issn><eissn>2076-3263</eissn><abstract>Floods are one of the most dangerous and common disasters worldwide, and these disasters are closely linked to the geography of the affected area. As a result, several papers in the academic field of humanitarian logistics have incorporated the use of Geographical Information Systems (GIS) for disaster management. However, most of the contributions in the literature are using these systems for network analysis and display, with just a few papers exploiting the capabilities of GIS to improve planning and preparedness. To show the capabilities of GIS for disaster management, this paper uses raster GIS to analyse potential flooding scenarios and provide input to an optimisation model. The combination is applied to two real-world floods in Mexico to evaluate the value of incorporating GIS for disaster planning. The results provide evidence that including GIS analysis for a decision-making tool in disaster management can improve the outcome of disaster operations by reducing the number of facilities used at risk of flooding. Empirical results imply the importance of the integration of advanced remote sensing images and GIS for future systems in humanitarian logistics.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/geosciences6020018</doi><orcidid>https://orcid.org/0000-0001-7509-9381</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2076-3263
ispartof Geosciences (Basel), 2016-06, Vol.6 (2), p.18
issn 2076-3263
2076-3263
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_656b749d7f564b1382dc01b281893165
source Publicly Available Content Database
subjects Disaster management
Disasters
Earth science
Emergency preparedness
Environmental risk
Flooding
floods
Geographic information systems
geographical information systems
Geography
humanitarian logistics
Remote sensing
title GIS and Optimisation: Potential Benefits for Emergency Facility Location in Humanitarian Logistics
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T19%3A46%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=GIS%20and%20Optimisation:%20Potential%20Benefits%20for%20Emergency%20Facility%20Location%20in%20Humanitarian%20Logistics&rft.jtitle=Geosciences%20(Basel)&rft.au=Rodr%C3%ADguez-Esp%C3%ADndola,%20Oscar&rft.date=2016-06-01&rft.volume=6&rft.issue=2&rft.spage=18&rft.pages=18-&rft.issn=2076-3263&rft.eissn=2076-3263&rft_id=info:doi/10.3390/geosciences6020018&rft_dat=%3Cproquest_doaj_%3E4021579341%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c385t-8210c5103eba9b8696e7b92c63649b4f0e86afedf0aa12adede08312eb25cdfd3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1780818048&rft_id=info:pmid/&rfr_iscdi=true