IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v87y2017i1d10.1007_s11069-017-2774-x.html
   My bibliography  Save this article

Incorporating socio-economic effects and uncertain rainfall in flood mitigation decision using MCDA

Author

Listed:
  • V. Daksiya

    (Nanyang Technological University
    Nanyang Technological University)

  • H. T. Su

    (Nanyang Technological University)

  • Y. H. Chang

    (Nanyang Technological University)

  • Edmond Y. M. Lo

    (Nanyang Technological University)

Abstract

The decision making process in flood mitigation typically involves a number of factors reflecting flood severity, flood vulnerability and the cost of the mitigation measures, which implies that the decision framework needs to combine both social–economic parameters and flood extent prediction analysis. A socio-economic vulnerability index (SEVI) is developed here to represent social–economic factors and its use demonstrated within a multi-criteria decision analysis (MCDA) for assessing flood levee options for a central basin of Jakarta, Indonesia. The variables defining the SEVI are selected based on available national social–economic data reported for Indonesia with overlapping information removed using Pearson’s correlation analysis. Two different methods are used to further scale the SEVI which is developed along administrative boundaries into a Net SEVI which is dependent on the predicted flood hazard as resulting from the levee plan options while capturing uncertainty in the rainfall forecasting. The MCDA technique adopted uses criteria of Net SEVI, annual expected loss, graduality and levee construction cost for analyzing six different levee plans and with uncertainty in the rainfall incorporated. The Net SEVI thus specifically reflects the social–economic impact on the flood-affected population, and this approach thereby provides a higher degree of granularity in the flood mitigation decision process. The MCDA decision framework developed is general in that the Net SEVI can be applied for consideration of other flood mitigation strategies. Here, it is shown that the inclusion of the Net SEVI criteria changes the best choice levee plan decision to a higher protection level for the basin considered.

Suggested Citation

  • V. Daksiya & H. T. Su & Y. H. Chang & Edmond Y. M. Lo, 2017. "Incorporating socio-economic effects and uncertain rainfall in flood mitigation decision using MCDA," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(1), pages 515-531, May.
  • Handle: RePEc:spr:nathaz:v:87:y:2017:i:1:d:10.1007_s11069-017-2774-x
    DOI: 10.1007/s11069-017-2774-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-017-2774-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11069-017-2774-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fei Li & Huan-Feng Duan & Hexiang Yan & Tao Tao, 2015. "Multi-Objective Optimal Design of Detention Tanks in the Urban Stormwater Drainage System: Framework Development and Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(7), pages 2125-2137, May.
    2. Huan-Feng Duan & Fei Li & Hexiang Yan, 2016. "Multi-Objective Optimal Design of Detention Tanks in the Urban Stormwater Drainage System: LID Implementation and Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(13), pages 4635-4648, October.
    3. Georgopoulou, E. & Sarafidis, Y. & Diakoulaki, D., 1998. "Design and implementation of a group DSS for sustaining renewable energies exploitation," European Journal of Operational Research, Elsevier, vol. 109(2), pages 483-500, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Saad Mazhar Khan & Imran Shafi & Wasi Haider Butt & Isabel de la Torre Díez & Miguel Angel López Flores & Juan Castañedo Galvlán & Imran Ashraf, 2023. "Model Driven Approach for Efficient Flood Disaster Management with Meta Model Support," Land, MDPI, vol. 12(8), pages 1-27, August.
    2. Xinhong Cai & Dawei Xu, 2022. "Simulation and Optimization Strategy of Storm Flood Safety Pattern Based on SCS-CN Model," IJERPH, MDPI, vol. 19(2), pages 1-15, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Omid Seyedashraf & Andrea Bottacin-Busolin & Julien J. Harou, 2021. "Many-Objective Optimization of Sustainable Drainage Systems in Urban Areas with Different Surface Slopes," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2449-2464, June.
    2. Husnain Tansar & Huan-Feng Duan & Ole Mark, 2022. "Catchment-Scale and Local-Scale Based Evaluation of LID Effectiveness on Urban Drainage System Performance," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(2), pages 507-526, January.
    3. Trutnevyte, Evelina & Stauffacher, Michael & Scholz, Roland W., 2012. "Linking stakeholder visions with resource allocation scenarios and multi-criteria assessment," European Journal of Operational Research, Elsevier, vol. 219(3), pages 762-772.
    4. Villacreses, Geovanna & Gaona, Gabriel & Martínez-Gómez, Javier & Jijón, Diego Juan, 2017. "Wind farms suitability location using geographical information system (GIS), based on multi-criteria decision making (MCDM) methods: The case of continental Ecuador," Renewable Energy, Elsevier, vol. 109(C), pages 275-286.
    5. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    6. Tiba, C. & Candeias, A.L.B. & Fraidenraich, N. & Barbosa, E.M. de S. & de Carvalho Neto, P.B. & de Melo Filho, J.B., 2010. "A GIS-based decision support tool for renewable energy management and planning in semi-arid rural environments of northeast of Brazil," Renewable Energy, Elsevier, vol. 35(12), pages 2921-2932.
    7. Ifaei, Pouya & Tayerani Charmchi, Amir Saman & Loy-Benitez, Jorge & Yang, Rebecca Jing & Yoo, ChangKyoo, 2022. "A data-driven analytical roadmap to a sustainable 2030 in South Korea based on optimal renewable microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    8. Tim H¨ofer & Rüdiger von Nitzsch & Reinhard Madlener, 2020. "Using Value-Focused Thinking and Multicriteria Decision Making to Evaluate Energy Transition Alternatives," Decision Analysis, INFORMS, vol. 17(4), pages 330-355, December.
    9. Papapostolou, Aikaterini & Karakosta, Charikleia & Nikas, Alexandros & Psarras, John, 2017. "Exploring opportunities and risks for RES-E deployment under Cooperation Mechanisms between EU and Western Balkans: A multi-criteria assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 519-530.
    10. Fei Li & Xu-Feng Yan & Huan-Feng Duan, 2019. "Sustainable Design of Urban Stormwater Drainage Systems by Implementing Detention Tank and LID Measures for Flooding Risk Control and Water Quality Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(9), pages 3271-3288, July.
    11. Athanasios Kolios & Varvara Mytilinou & Estivaliz Lozano-Minguez & Konstantinos Salonitis, 2016. "A Comparative Study of Multiple-Criteria Decision-Making Methods under Stochastic Inputs," Energies, MDPI, vol. 9(7), pages 1-21, July.
    12. J. Yazdi & M. Sabbaghian Moghaddam & B. Saghafian, 2018. "Optimal Design of Check Dams in Mountainous Watersheds for Flood Mitigation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(14), pages 4793-4811, November.
    13. Wenchao Qi & Chao Ma & Hongshi Xu & Zifan Chen & Kai Zhao & Hao Han, 2021. "Low Impact Development Measures Spatial Arrangement for Urban Flood Mitigation: An Exploratory Optimal Framework based on Source Tracking," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3755-3770, September.
    14. Jamal, Taskin & Urmee, Tania & Shafiullah, G.M., 2020. "Planning of off-grid power supply systems in remote areas using multi-criteria decision analysis," Energy, Elsevier, vol. 201(C).
    15. Gamboa, Gonzalo & Munda, Giuseppe, 2007. "The problem of windfarm location: A social multi-criteria evaluation framework," Energy Policy, Elsevier, vol. 35(3), pages 1564-1583, March.
    16. Javier Guerrero & Taufiqul Alam & Ahmed Mahmoud & Kim D. Jones & Andrew Ernest, 2020. "Decision-Support System for LID Footprint Planning and Urban Runoff Mitigation in the Lower Rio Grande Valley of South Texas," Sustainability, MDPI, vol. 12(8), pages 1-18, April.
    17. Harrison Mutikanga & Saroj Sharma & Kalanithy Vairavamoorthy, 2011. "Multi-criteria Decision Analysis: A Strategic Planning Tool for Water Loss Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(14), pages 3947-3969, November.
    18. Ana Luiza Melo Rodrigues & Demetrius David Silva & Frederico Carlos Martins Menezes Filho, 2021. "Methodology for Allocation of Best Management Practices Integrated with the Urban Landscape," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(4), pages 1353-1371, March.
    19. Huan-Feng Duan & Fei Li & Hexiang Yan, 2016. "Multi-Objective Optimal Design of Detention Tanks in the Urban Stormwater Drainage System: LID Implementation and Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(13), pages 4635-4648, October.
    20. Cavallaro, Fausto, 2009. "Multi-criteria decision aid to assess concentrated solar thermal technologies," Renewable Energy, Elsevier, vol. 34(7), pages 1678-1685.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:87:y:2017:i:1:d:10.1007_s11069-017-2774-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.