Multi-criteria decision-making for flood risk management: a survey of the current state of the art
This paper provides a review of multi-criteria decision-making (MCDM) applications to flood risk management, seeking to highlight trends and identify research gaps. A total of 128 peer-reviewed papers published from 1995 to June 2015 were systematically analysed. Results showed that the number of f...
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| Published in | Natural hazards and earth system sciences Vol. 16; no. 4; pp. 1019 - 1033 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Katlenburg-Lindau
Copernicus GmbH
26.04.2016
Copernicus Publications |
| Subjects | |
| Online Access | Get full text |
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| Abstract | This paper provides a review of multi-criteria decision-making (MCDM) applications to flood risk management, seeking to highlight trends and identify research gaps. A total of 128 peer-reviewed papers published from 1995 to June 2015 were systematically analysed. Results showed that the number of flood MCDM publications has exponentially grown during this period, with over 82 % of all papers published since 2009. A wide range of applications were identified, with most papers focusing on ranking alternatives for flood mitigation, followed by risk, hazard, and vulnerability assessment. The analytical hierarchy process (AHP) was the most popular method, followed by Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), and Simple Additive Weighting (SAW). Although there is greater interest in MCDM, uncertainty analysis remains an issue and was seldom applied in flood-related studies. In addition, participation of multiple stakeholders has been generally fragmented, focusing on particular stages of the decision-making process, especially on the definition of criteria weights. Therefore, addressing the uncertainties around stakeholders' judgments and endorsing an active participation in all steps of the decision-making process should be explored in future applications. This could help to increase the quality of decisions and the implementation of chosen measures. |
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| AbstractList | This paper provides a review of multi-criteria decision-making (MCDM) applications to flood risk management, seeking to highlight trends and identify research gaps. A total of 128 peer-reviewed papers published from 1995 to June 2015 were systematically analysed. Results showed that the number of flood MCDM publications has exponentially grown during this period, with over 82 % of all papers published since 2009. A wide range of applications were identified, with most papers focusing on ranking alternatives for flood mitigation, followed by risk, hazard, and vulnerability assessment. The analytical hierarchy process (AHP) was the most popular method, followed by Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), and Simple Additive Weighting (SAW). Although there is greater interest in MCDM, uncertainty analysis remains an issue and was seldom applied in flood-related studies. In addition, participation of multiple stakeholders has been generally fragmented, focusing on particular stages of the decision-making process, especially on the definition of criteria weights. Therefore, addressing the uncertainties around stakeholders' judgments and endorsing an active participation in all steps of the decision-making process should be explored in future applications. This could help to increase the quality of decisions and the implementation of chosen measures. This paper provides a review of multi-criteria decision-making  (MCDM) applications to flood risk management, seeking to highlight trends and identify research gaps. A total of 128 peer-reviewed papers published from 1995 to June 2015 were systematically analysed. Results showed that the number of flood MCDM publications has exponentially grown during this period, with over 82â¯% of all papers published since 2009. A wide range of applications were identified, with most papers focusing on ranking alternatives for flood mitigation, followed by risk, hazard, and vulnerability assessment. The analytical hierarchy process (AHP) was the most popular method, followed by Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), and Simple Additive Weighting (SAW). Although there is greater interest in MCDM, uncertainty analysis remains an issue and was seldom applied in flood-related studies. In addition, participation of multiple stakeholders has been generally fragmented, focusing on particular stages of the decision-making process, especially on the definition of criteria weights. Therefore, addressing the uncertainties around stakeholders' judgments and endorsing an active participation in all steps of the decision-making process should be explored in future applications. This could help to increase the quality of decisions and the implementation of chosen measures. This paper provides a review of multi-criteria decision-making (MCDM) applications to flood risk management, seeking to highlight trends and identify research gaps. A total of 128 peer-reviewed papers published from 1995 to June 2015 were systematically analysed. Results showed that the number of flood MCDM publications has exponentially grown during this period, with over 82-% of all papers published since 2009. A wide range of applications were identified, with most papers focusing on ranking alternatives for flood mitigation, followed by risk, hazard, and vulnerability assessment. The analytical hierarchy process (AHP) was the most popular method, followed by Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), and Simple Additive Weighting (SAW). Although there is greater interest in MCDM, uncertainty analysis remains an issue and was seldom applied in flood-related studies. In addition, participation of multiple stakeholders has been generally fragmented, focusing on particular stages of the decision-making process, especially on the definition of criteria weights. Therefore, addressing the uncertainties around stakeholders' judgments and endorsing an active participation in all steps of the decision-making process should be explored in future applications. This could help to increase the quality of decisions and the implementation of chosen measures. |
| Audience | Academic |
| Author | Evers, Mariele de Brito, Mariana Madruga |
| Author_xml | – sequence: 1 givenname: Mariana Madruga orcidid: 0000-0003-4191-1647 surname: de Brito fullname: de Brito, Mariana Madruga – sequence: 2 givenname: Mariele surname: Evers fullname: Evers, Mariele |
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| Cites_doi | 10.1016/j.ejor.2004.04.028 10.1111/j.1752-1688.2004.tb01010.x 10.1002/mcda.306 10.1111/j.1366-9516.2005.00202.x 10.1016/S0377-2217(01)00400-3 10.1007/s11269-015-1169-6 10.1007/s11269-014-0844-3 10.1080/09640568.2012.717886 10.1007/s11069-011-9930-5 10.1007/1-4020-2243-3_2 10.1007/s40070-013-0016-3 10.1016/j.infsof.2007.09.004 10.1007/978-1-4757-3157-6 10.1007/s11069-015-1737-3 10.1007/s11069-015-1699-5 10.1002/mcda.1482 10.1016/j.rser.2003.12.007 10.1016/j.autcon.2014.05.013 10.1201/b11032 10.1016/j.enggeo.2009.12.006 10.5194/nhess-15-863-2015 10.1080/07294360.2013.841651 10.1016/j.eswa.2011.01.105 10.5194/nhess-11-2765-2011 10.1007/978-3-642-53939-8_24 10.1016/j.ijdrr.2015.06.001 10.5194/nhess-13-1293-2013 10.1007/s10726-015-9437-7 10.1287/mnsc.1070.0838 10.1177/0956247811433538 10.1002/9781118644898 10.1007/s00506-008-0001-4 10.1108/SS-01-2013-0006 10.1007/978-3-319-11836-9 10.1016/j.scitotenv.2011.08.027 10.1016/j.jher.2007.07.004 10.1007/s11269-008-9387-9 10.1016/S0168-1699(00)00113-7 10.1016/j.ecolind.2014.06.011 10.2134/jeq2010.0365 10.1016/j.envsoft.2012.05.004 10.1007/s11269-013-0370-8 10.1016/S0377-2217(98)00073-3 10.1007/s11069-010-9558-x 10.1007/s11518-006-5021-7 10.1016/j.envsoft.2012.11.002 10.5194/nhess-13-1209-2013 10.1016/j.envsci.2011.05.016 10.1007/s11269-015-0954-6 10.1142/S0217595914500249 10.1016/j.jconhyd.2010.08.009 10.1007/978-1-4471-2346-0_8 10.1007/978-3-642-15243-6_48 10.3390/su6096141 10.1007/s10799-012-0130-0 10.1080/19475705.2013.816785 10.20965/jdr.2014.p0055 10.1111/jfr3.12017 10.1007/s11069-013-1029-8 10.1016/j.envsoft.2013.08.004 10.1007/s40273-014-0251-x 10.4025/revtecnol.v24i1.27410 10.1007/s11518-006-0158-y 10.1108/20441241111180415 10.1016/0305-0483(92)90003-P 10.1007/s00477-012-0598-5 10.1023/B:WARM.0000043163.19531.6a 10.1016/S1003-6326(14)63393-8 10.1007/s11269-006-9112-5 10.1016/j.jenvman.2005.02.015 10.1016/j.ejor.2009.01.021 10.1061/(ASCE)CP.1943-5487.0000360 10.1007/s11069-013-0642-x 10.5194/nhess-12-2821-2012 10.1680/wama.2008.161.5.261 10.1007/s10113-013-0423-9 10.1007/978-1-4471-2346-0 10.1111/jfr3.12076 10.1016/j.ejor.2015.07.019 10.1007/978-1-4020-6552-1_6 10.1016/j.ecolecon.2007.06.011 10.5194/nhess-9-767-2009 10.1016/j.eswa.2013.07.089 10.5194/nhess-13-239-2013 10.5923/j.ajgis.20130201.01 10.1080/02508060208687022 10.1016/j.eswa.2012.05.056 10.1016/j.envsoft.2005.07.014 10.1007/s11069-014-1238-9 10.1016/j.foreco.2006.03.023 10.1016/S0169-2070(99)00018-7 10.5194/nhess-14-3207-2014 10.1080/13658810600661508 10.1016/j.ejor.2012.01.055 10.1007/s11069-011-0075-3 10.1016/j.marpol.2015.06.022 |
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| References_xml | – ident: ref62 – ident: ref98 doi: 10.1016/j.ejor.2004.04.028 – ident: ref1 – ident: ref17 doi: 10.1111/j.1752-1688.2004.tb01010.x – ident: ref50 doi: 10.1002/mcda.306 – ident: ref72 doi: 10.1111/j.1366-9516.2005.00202.x – ident: ref6 doi: 10.1016/S0377-2217(01)00400-3 – ident: ref64 doi: 10.1007/s11269-015-1169-6 – ident: ref4 doi: 10.1007/s11269-014-0844-3 – ident: ref73 doi: 10.1080/09640568.2012.717886 – ident: ref99 – ident: ref49 doi: 10.1007/s11069-011-9930-5 – ident: ref59 doi: 10.1007/1-4020-2243-3_2 – ident: ref66 doi: 10.1007/s40070-013-0016-3 – ident: ref10 doi: 10.1016/j.infsof.2007.09.004 – ident: ref93 doi: 10.1007/978-1-4757-3157-6 – ident: ref102 doi: 10.1007/s11069-015-1737-3 – ident: ref16 doi: 10.1007/s11069-015-1699-5 – ident: ref13 – ident: ref35 doi: 10.1002/mcda.1482 – ident: ref77 doi: 10.1016/j.rser.2003.12.007 – ident: ref47 doi: 10.1016/j.autcon.2014.05.013 – ident: ref94 doi: 10.1201/b11032 – ident: ref34 doi: 10.1016/j.enggeo.2009.12.006 – ident: ref55 doi: 10.5194/nhess-15-863-2015 – ident: ref76 doi: 10.1080/07294360.2013.841651 – ident: ref96 – ident: ref103 doi: 10.1016/j.eswa.2011.01.105 – ident: ref33 – ident: ref86 doi: 10.5194/nhess-11-2765-2011 – ident: ref27 doi: 10.1007/978-3-642-53939-8_24 – ident: ref39 doi: 10.1016/j.ijdrr.2015.06.001 – ident: ref53 doi: 10.5194/nhess-13-1293-2013 – ident: ref91 doi: 10.1007/s10726-015-9437-7 – ident: ref100 doi: 10.1287/mnsc.1070.0838 – ident: ref44 doi: 10.1177/0956247811433538 – ident: ref46 doi: 10.1002/9781118644898 – ident: ref70 doi: 10.1007/s00506-008-0001-4 – ident: ref85 doi: 10.1108/SS-01-2013-0006 – ident: ref8 doi: 10.1007/978-3-319-11836-9 – ident: ref48 doi: 10.1016/j.scitotenv.2011.08.027 – ident: ref56 doi: 10.1016/j.jher.2007.07.004 – ident: ref20 doi: 10.1007/s11269-008-9387-9 – ident: ref74 doi: 10.1016/S0168-1699(00)00113-7 – ident: ref21 doi: 10.1016/j.ecolind.2014.06.011 – ident: ref92 doi: 10.2134/jeq2010.0365 – ident: ref38 doi: 10.1016/j.envsoft.2012.05.004 – ident: ref79 doi: 10.1007/s11269-013-0370-8 – ident: ref41 doi: 10.1016/S0377-2217(98)00073-3 – ident: ref24 doi: 10.1007/s11069-010-9558-x – ident: ref84 doi: 10.1007/s11518-006-5021-7 – ident: ref7 doi: 10.1016/j.envsoft.2012.11.002 – ident: ref22 doi: 10.5194/nhess-13-1209-2013 – ident: ref15 doi: 10.1016/j.envsci.2011.05.016 – ident: ref18 doi: 10.1007/s11269-015-0954-6 – ident: ref88 doi: 10.1142/S0217595914500249 – ident: ref97 doi: 10.1016/j.jconhyd.2010.08.009 – ident: ref68 doi: 10.1007/978-1-4471-2346-0_8 – ident: ref81 – ident: ref57 doi: 10.1007/978-3-642-15243-6_48 – ident: ref19 doi: 10.3390/su6096141 – ident: ref89 doi: 10.1007/s10799-012-0130-0 – ident: ref82 doi: 10.1080/19475705.2013.816785 – ident: ref71 doi: 10.20965/jdr.2014.p0055 – ident: ref36 doi: 10.1111/jfr3.12017 – ident: ref108 doi: 10.1007/s11069-013-1029-8 – ident: ref107 doi: 10.1016/j.envsoft.2013.08.004 – ident: ref14 doi: 10.1007/s40273-014-0251-x – ident: ref28 doi: 10.4025/revtecnol.v24i1.27410 – ident: ref83 doi: 10.1007/s11518-006-0158-y – ident: ref26 doi: 10.1108/20441241111180415 – ident: ref90 doi: 10.1016/0305-0483(92)90003-P – ident: ref109 doi: 10.1007/s00477-012-0598-5 – ident: ref61 – ident: ref2 – ident: ref9 doi: 10.1023/B:WARM.0000043163.19531.6a – ident: ref60 doi: 10.1016/S1003-6326(14)63393-8 – ident: ref23 – ident: ref43 doi: 10.1007/s11269-006-9112-5 – ident: ref3 doi: 10.1016/j.jenvman.2005.02.015 – ident: ref11 doi: 10.1016/j.ejor.2009.01.021 – ident: ref80 doi: 10.1061/(ASCE)CP.1943-5487.0000360 – ident: ref105 doi: 10.1007/s11069-013-0642-x – ident: ref32 doi: 10.5194/nhess-12-2821-2012 – ident: ref106 doi: 10.1680/wama.2008.161.5.261 – ident: ref78 doi: 10.1007/s10113-013-0423-9 – ident: ref101 – ident: ref67 doi: 10.1007/978-1-4471-2346-0 – ident: ref5 doi: 10.1111/jfr3.12076 – ident: ref40 doi: 10.1016/j.ejor.2015.07.019 – ident: ref37 doi: 10.1007/978-1-4020-6552-1_6 – ident: ref51 doi: 10.1016/j.ecolecon.2007.06.011 – ident: ref52 doi: 10.5194/nhess-9-767-2009 – ident: ref54 doi: 10.1016/j.eswa.2013.07.089 – ident: ref58 doi: 10.5194/nhess-13-239-2013 – ident: ref95 doi: 10.5923/j.ajgis.20130201.01 – ident: ref65 doi: 10.1080/02508060208687022 – ident: ref12 doi: 10.1016/j.eswa.2012.05.056 – ident: ref25 doi: 10.1016/j.envsoft.2005.07.014 – ident: ref42 doi: 10.1007/s11069-014-1238-9 – ident: ref69 doi: 10.1016/j.foreco.2006.03.023 – ident: ref45 doi: 10.1016/S0169-2070(99)00018-7 – ident: ref29 doi: 10.5194/nhess-14-3207-2014 – ident: ref63 doi: 10.1080/13658810600661508 – ident: ref87 doi: 10.1016/j.ejor.2012.01.055 – ident: ref75 doi: 10.1007/s11069-011-0075-3 – ident: ref104 – ident: ref30 doi: 10.1016/j.marpol.2015.06.022 – ident: ref31 |
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