Loading…

Social multi-criteria evaluation to identify appropriate disaster risk reduction measures: application to landslides in the Rwenzori Mountains, Uganda

Over the past decades, the global exposure of persons and assets to natural hazards, like landslides, has increased faster than that their vulnerability has decreased. Therefore, the Sendai Framework for Disaster Risk Reduction (DRR) made a call in 2015 for more investment in DRR. Recent studies exp...

Full description

Saved in:
Bibliographic Details
Published in:Landslides 2019-09, Vol.16 (9), p.1793-1807
Main Authors: Maes, Jan, Mertens, Kewan, Jacobs, Liesbet, Bwambale, Bosco, Vranken, Liesbet, Dewitte, Olivier, Poesen, Jean, Kervyn, Matthieu
Format: Article
Language:English
Subjects:
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-c449t-b9511c4386df6556679cee459c04d212519f744c32861d865cee329ce9c7beb83
cites cdi_FETCH-LOGICAL-c449t-b9511c4386df6556679cee459c04d212519f744c32861d865cee329ce9c7beb83
container_end_page 1807
container_issue 9
container_start_page 1793
container_title Landslides
container_volume 16
creator Maes, Jan
Mertens, Kewan
Jacobs, Liesbet
Bwambale, Bosco
Vranken, Liesbet
Dewitte, Olivier
Poesen, Jean
Kervyn, Matthieu
description Over the past decades, the global exposure of persons and assets to natural hazards, like landslides, has increased faster than that their vulnerability has decreased. Therefore, the Sendai Framework for Disaster Risk Reduction (DRR) made a call in 2015 for more investment in DRR. Recent studies exposed the lack of scientific evaluation data for selecting DRR measures. The objective of this research is to develop a participatory methodology for identifying appropriate DRR measures based on stakeholder groups’ perceptions. More specifically, we propose a social multi-criteria evaluation which combines a two-phased participatory multi-criteria analysis with an institutional analysis for its design and a discourse analysis for interpreting its outcomes. This method is then tested for a case study focusing on landslides in the Rwenzori Mountains region (Uganda) to illustrate both its relevance and practical challenges. The results from the case study highlight the perceived importance of the acceptability of measures above cost, feasibility and effectiveness criteria, by district and village stakeholder groups. Frequently recommended DRR actions, such as disaster risk zonation or relocation, are shown to be perceived negatively by local stakeholders despite being put forward in national policies. This study contributes to the DRR literature as it proposes a new method to support DRR-related decision-making. It also contributes to the understanding of landslide risk reduction in the Rwenzori Mountains region as it presents the first attempt to identify appropriate landslide risk reduction measures for the region.
doi_str_mv 10.1007/s10346-018-1030-0
format article
fullrecord <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_03754112v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2064005901</sourcerecordid><originalsourceid>FETCH-LOGICAL-c449t-b9511c4386df6556679cee459c04d212519f744c32861d865cee329ce9c7beb83</originalsourceid><addsrcrecordid>eNp9kcFu1DAQhi1EJcqWB-BmiRMSKTOO7cTcqgraSosqAZW4WV7HaV2y8WI7rcqD8Lx1CFpO9OTR-Jvf__gn5DXCMQI07xNCzWUF2FalggqekUOUyCqB2D7f1_D9BXmZ0i0AU1CrQ_L7a7DeDHQ7DdlXNvrsojfU3ZlhMtmHkeZAfefG7PsHana7GHYFyI52PplUaBp9-kGj6yb7h986k6bo0oeZHrzdqwxm7NJQtBL1pXHj6Jd7N_4K0dPPYRqz8WN6R6-uC2aOyEFvhuRe_T1X5OrTx2-n59X68uzi9GRdWc5VrjaqrGd53cqul0JI2SjrHBfKAu8YMoGqbzi3NWsldq0U5bZmhVG22bhNW6_I20X3xgy6LLY18UEH4_X5yVrPPagbwRHZHRb2zcKWP_g5uZT1bZjiWOxpJqAWTHIlnqRYIwGZxKcpkBxAKJhfxIWyMaQUXb-3iKDn2PUSuy6x6zn2YndF2DKTCjteu_hP-f9Dj1ZasAg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2064005901</pqid></control><display><type>article</type><title>Social multi-criteria evaluation to identify appropriate disaster risk reduction measures: application to landslides in the Rwenzori Mountains, Uganda</title><source>Springer Nature</source><creator>Maes, Jan ; Mertens, Kewan ; Jacobs, Liesbet ; Bwambale, Bosco ; Vranken, Liesbet ; Dewitte, Olivier ; Poesen, Jean ; Kervyn, Matthieu</creator><creatorcontrib>Maes, Jan ; Mertens, Kewan ; Jacobs, Liesbet ; Bwambale, Bosco ; Vranken, Liesbet ; Dewitte, Olivier ; Poesen, Jean ; Kervyn, Matthieu</creatorcontrib><description>Over the past decades, the global exposure of persons and assets to natural hazards, like landslides, has increased faster than that their vulnerability has decreased. Therefore, the Sendai Framework for Disaster Risk Reduction (DRR) made a call in 2015 for more investment in DRR. Recent studies exposed the lack of scientific evaluation data for selecting DRR measures. The objective of this research is to develop a participatory methodology for identifying appropriate DRR measures based on stakeholder groups’ perceptions. More specifically, we propose a social multi-criteria evaluation which combines a two-phased participatory multi-criteria analysis with an institutional analysis for its design and a discourse analysis for interpreting its outcomes. This method is then tested for a case study focusing on landslides in the Rwenzori Mountains region (Uganda) to illustrate both its relevance and practical challenges. The results from the case study highlight the perceived importance of the acceptability of measures above cost, feasibility and effectiveness criteria, by district and village stakeholder groups. Frequently recommended DRR actions, such as disaster risk zonation or relocation, are shown to be perceived negatively by local stakeholders despite being put forward in national policies. This study contributes to the DRR literature as it proposes a new method to support DRR-related decision-making. It also contributes to the understanding of landslide risk reduction in the Rwenzori Mountains region as it presents the first attempt to identify appropriate landslide risk reduction measures for the region.</description><identifier>ISSN: 1612-510X</identifier><identifier>EISSN: 1612-5118</identifier><identifier>DOI: 10.1007/s10346-018-1030-0</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Acceptability ; Agriculture ; Analysis ; Case studies ; Civil Engineering ; Decision making ; Disaster management ; Disaster risk ; Disasters ; Earth and Environmental Science ; Earth Sciences ; Emergency preparedness ; Environmental risk ; Evaluation ; Feasibility studies ; Geography ; Hazards ; Humanities and Social Sciences ; Landslides ; Landslides &amp; mudslides ; Mountains ; Multiple criterion ; Natural Hazards ; Reduction ; Relocation ; Risk management ; Risk reduction ; Stakeholders ; Thematic Paper ; Vulnerability ; Zonation</subject><ispartof>Landslides, 2019-09, Vol.16 (9), p.1793-1807</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2018</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2018.</rights><rights>Copyright Springer Nature B.V. 2019</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c449t-b9511c4386df6556679cee459c04d212519f744c32861d865cee329ce9c7beb83</citedby><cites>FETCH-LOGICAL-c449t-b9511c4386df6556679cee459c04d212519f744c32861d865cee329ce9c7beb83</cites><orcidid>0000-0002-3422-8615 ; 0000-0002-4233-9323</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://hal.science/hal-03754112$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Maes, Jan</creatorcontrib><creatorcontrib>Mertens, Kewan</creatorcontrib><creatorcontrib>Jacobs, Liesbet</creatorcontrib><creatorcontrib>Bwambale, Bosco</creatorcontrib><creatorcontrib>Vranken, Liesbet</creatorcontrib><creatorcontrib>Dewitte, Olivier</creatorcontrib><creatorcontrib>Poesen, Jean</creatorcontrib><creatorcontrib>Kervyn, Matthieu</creatorcontrib><title>Social multi-criteria evaluation to identify appropriate disaster risk reduction measures: application to landslides in the Rwenzori Mountains, Uganda</title><title>Landslides</title><addtitle>Landslides</addtitle><description>Over the past decades, the global exposure of persons and assets to natural hazards, like landslides, has increased faster than that their vulnerability has decreased. Therefore, the Sendai Framework for Disaster Risk Reduction (DRR) made a call in 2015 for more investment in DRR. Recent studies exposed the lack of scientific evaluation data for selecting DRR measures. The objective of this research is to develop a participatory methodology for identifying appropriate DRR measures based on stakeholder groups’ perceptions. More specifically, we propose a social multi-criteria evaluation which combines a two-phased participatory multi-criteria analysis with an institutional analysis for its design and a discourse analysis for interpreting its outcomes. This method is then tested for a case study focusing on landslides in the Rwenzori Mountains region (Uganda) to illustrate both its relevance and practical challenges. The results from the case study highlight the perceived importance of the acceptability of measures above cost, feasibility and effectiveness criteria, by district and village stakeholder groups. Frequently recommended DRR actions, such as disaster risk zonation or relocation, are shown to be perceived negatively by local stakeholders despite being put forward in national policies. This study contributes to the DRR literature as it proposes a new method to support DRR-related decision-making. It also contributes to the understanding of landslide risk reduction in the Rwenzori Mountains region as it presents the first attempt to identify appropriate landslide risk reduction measures for the region.</description><subject>Acceptability</subject><subject>Agriculture</subject><subject>Analysis</subject><subject>Case studies</subject><subject>Civil Engineering</subject><subject>Decision making</subject><subject>Disaster management</subject><subject>Disaster risk</subject><subject>Disasters</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Emergency preparedness</subject><subject>Environmental risk</subject><subject>Evaluation</subject><subject>Feasibility studies</subject><subject>Geography</subject><subject>Hazards</subject><subject>Humanities and Social Sciences</subject><subject>Landslides</subject><subject>Landslides &amp; mudslides</subject><subject>Mountains</subject><subject>Multiple criterion</subject><subject>Natural Hazards</subject><subject>Reduction</subject><subject>Relocation</subject><subject>Risk management</subject><subject>Risk reduction</subject><subject>Stakeholders</subject><subject>Thematic Paper</subject><subject>Vulnerability</subject><subject>Zonation</subject><issn>1612-510X</issn><issn>1612-5118</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kcFu1DAQhi1EJcqWB-BmiRMSKTOO7cTcqgraSosqAZW4WV7HaV2y8WI7rcqD8Lx1CFpO9OTR-Jvf__gn5DXCMQI07xNCzWUF2FalggqekUOUyCqB2D7f1_D9BXmZ0i0AU1CrQ_L7a7DeDHQ7DdlXNvrsojfU3ZlhMtmHkeZAfefG7PsHana7GHYFyI52PplUaBp9-kGj6yb7h986k6bo0oeZHrzdqwxm7NJQtBL1pXHj6Jd7N_4K0dPPYRqz8WN6R6-uC2aOyEFvhuRe_T1X5OrTx2-n59X68uzi9GRdWc5VrjaqrGd53cqul0JI2SjrHBfKAu8YMoGqbzi3NWsldq0U5bZmhVG22bhNW6_I20X3xgy6LLY18UEH4_X5yVrPPagbwRHZHRb2zcKWP_g5uZT1bZjiWOxpJqAWTHIlnqRYIwGZxKcpkBxAKJhfxIWyMaQUXb-3iKDn2PUSuy6x6zn2YndF2DKTCjteu_hP-f9Dj1ZasAg</recordid><startdate>20190901</startdate><enddate>20190901</enddate><creator>Maes, Jan</creator><creator>Mertens, Kewan</creator><creator>Jacobs, Liesbet</creator><creator>Bwambale, Bosco</creator><creator>Vranken, Liesbet</creator><creator>Dewitte, Olivier</creator><creator>Poesen, Jean</creator><creator>Kervyn, Matthieu</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><general>Springer Verlag</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>M2P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>1XC</scope><scope>BXJBU</scope><orcidid>https://orcid.org/0000-0002-3422-8615</orcidid><orcidid>https://orcid.org/0000-0002-4233-9323</orcidid></search><sort><creationdate>20190901</creationdate><title>Social multi-criteria evaluation to identify appropriate disaster risk reduction measures: application to landslides in the Rwenzori Mountains, Uganda</title><author>Maes, Jan ; Mertens, Kewan ; Jacobs, Liesbet ; Bwambale, Bosco ; Vranken, Liesbet ; Dewitte, Olivier ; Poesen, Jean ; Kervyn, Matthieu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c449t-b9511c4386df6556679cee459c04d212519f744c32861d865cee329ce9c7beb83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Acceptability</topic><topic>Agriculture</topic><topic>Analysis</topic><topic>Case studies</topic><topic>Civil Engineering</topic><topic>Decision making</topic><topic>Disaster management</topic><topic>Disaster risk</topic><topic>Disasters</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Emergency preparedness</topic><topic>Environmental risk</topic><topic>Evaluation</topic><topic>Feasibility studies</topic><topic>Geography</topic><topic>Hazards</topic><topic>Humanities and Social Sciences</topic><topic>Landslides</topic><topic>Landslides &amp; mudslides</topic><topic>Mountains</topic><topic>Multiple criterion</topic><topic>Natural Hazards</topic><topic>Reduction</topic><topic>Relocation</topic><topic>Risk management</topic><topic>Risk reduction</topic><topic>Stakeholders</topic><topic>Thematic Paper</topic><topic>Vulnerability</topic><topic>Zonation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Maes, Jan</creatorcontrib><creatorcontrib>Mertens, Kewan</creatorcontrib><creatorcontrib>Jacobs, Liesbet</creatorcontrib><creatorcontrib>Bwambale, Bosco</creatorcontrib><creatorcontrib>Vranken, Liesbet</creatorcontrib><creatorcontrib>Dewitte, Olivier</creatorcontrib><creatorcontrib>Poesen, Jean</creatorcontrib><creatorcontrib>Kervyn, Matthieu</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>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 Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</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>Civil Engineering Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science 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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>HAL-SHS: Archive ouverte en Sciences de l'Homme et de la Société</collection><jtitle>Landslides</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Maes, Jan</au><au>Mertens, Kewan</au><au>Jacobs, Liesbet</au><au>Bwambale, Bosco</au><au>Vranken, Liesbet</au><au>Dewitte, Olivier</au><au>Poesen, Jean</au><au>Kervyn, Matthieu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Social multi-criteria evaluation to identify appropriate disaster risk reduction measures: application to landslides in the Rwenzori Mountains, Uganda</atitle><jtitle>Landslides</jtitle><stitle>Landslides</stitle><date>2019-09-01</date><risdate>2019</risdate><volume>16</volume><issue>9</issue><spage>1793</spage><epage>1807</epage><pages>1793-1807</pages><issn>1612-510X</issn><eissn>1612-5118</eissn><abstract>Over the past decades, the global exposure of persons and assets to natural hazards, like landslides, has increased faster than that their vulnerability has decreased. Therefore, the Sendai Framework for Disaster Risk Reduction (DRR) made a call in 2015 for more investment in DRR. Recent studies exposed the lack of scientific evaluation data for selecting DRR measures. The objective of this research is to develop a participatory methodology for identifying appropriate DRR measures based on stakeholder groups’ perceptions. More specifically, we propose a social multi-criteria evaluation which combines a two-phased participatory multi-criteria analysis with an institutional analysis for its design and a discourse analysis for interpreting its outcomes. This method is then tested for a case study focusing on landslides in the Rwenzori Mountains region (Uganda) to illustrate both its relevance and practical challenges. The results from the case study highlight the perceived importance of the acceptability of measures above cost, feasibility and effectiveness criteria, by district and village stakeholder groups. Frequently recommended DRR actions, such as disaster risk zonation or relocation, are shown to be perceived negatively by local stakeholders despite being put forward in national policies. This study contributes to the DRR literature as it proposes a new method to support DRR-related decision-making. It also contributes to the understanding of landslide risk reduction in the Rwenzori Mountains region as it presents the first attempt to identify appropriate landslide risk reduction measures for the region.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s10346-018-1030-0</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-3422-8615</orcidid><orcidid>https://orcid.org/0000-0002-4233-9323</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1612-510X
ispartof Landslides, 2019-09, Vol.16 (9), p.1793-1807
issn 1612-510X
1612-5118
language eng
recordid cdi_hal_primary_oai_HAL_hal_03754112v1
source Springer Nature
subjects Acceptability
Agriculture
Analysis
Case studies
Civil Engineering
Decision making
Disaster management
Disaster risk
Disasters
Earth and Environmental Science
Earth Sciences
Emergency preparedness
Environmental risk
Evaluation
Feasibility studies
Geography
Hazards
Humanities and Social Sciences
Landslides
Landslides & mudslides
Mountains
Multiple criterion
Natural Hazards
Reduction
Relocation
Risk management
Risk reduction
Stakeholders
Thematic Paper
Vulnerability
Zonation
title Social multi-criteria evaluation to identify appropriate disaster risk reduction measures: application to landslides in the Rwenzori Mountains, Uganda
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T17%3A33%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Social%20multi-criteria%20evaluation%20to%20identify%20appropriate%20disaster%20risk%20reduction%20measures:%20application%20to%20landslides%20in%20the%20Rwenzori%20Mountains,%20Uganda&rft.jtitle=Landslides&rft.au=Maes,%20Jan&rft.date=2019-09-01&rft.volume=16&rft.issue=9&rft.spage=1793&rft.epage=1807&rft.pages=1793-1807&rft.issn=1612-510X&rft.eissn=1612-5118&rft_id=info:doi/10.1007/s10346-018-1030-0&rft_dat=%3Cproquest_hal_p%3E2064005901%3C/proquest_hal_p%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c449t-b9511c4386df6556679cee459c04d212519f744c32861d865cee329ce9c7beb83%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2064005901&rft_id=info:pmid/&rfr_iscdi=true