Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
ICT for Flood Risk Management Strategies: a GIS-based MCDA (M) Approach
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Mondlane University, Mozambique.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2013 (English)In: 2013 IST-Africa Conference & Exhibition , IEEE Computer Society, 2013, p. 1-9Conference paper, Published paper (Refereed)
Abstract [en]

This paper discusses the application of Analytical Hierarchical (AHP) on Geographic Information System (GIS) based Multcriteria Decision Analysis (Making) MCDA (M) for flood risk management strategies at the Limpopo River Basin in Mozambique. An analytical process is carried out based on GIS Decision Support System (DSS) taking into account the role of ICT and interest of both the decision makers and different stakeholders namely the householders and economic agents, within the basin. The study aims to provide the different stakeholders and decision makers with a decision tool and it focuses on the Mozambican section Limpopo River Basin as part of the national strategies to mitigate the exposure to both floods and droughts that cyclically affect the region.

Place, publisher, year, edition, pages
IEEE Computer Society, 2013. p. 1-9
Keyword [en]
AHP, GIS, ICT, MCDA(M), Flood risk management strategy
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-97732ISBN: 978-1-905824-38-0 (print)OAI: oai:DiVA.org:su-97732DiVA, id: diva2:679962
Conference
IST-Africa 2013, Nairobi, Kenya, May 29-31, 2013
Available from: 2013-12-17 Created: 2013-12-17 Last updated: 2018-03-29
In thesis
1. Scenarios for Flood Risk Management Strategies Integration in Mozambique: A backcasting approach for the case of the Limpopo River Basin
Open this publication in new window or tab >>Scenarios for Flood Risk Management Strategies Integration in Mozambique: A backcasting approach for the case of the Limpopo River Basin
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Flood risk management strategic planning with long-term perspectives is a complex problem, for which the solution requires a multidisciplinary and multi-paradigm approach. A significant dimension of this complexity arises from the need to include or add a participatory mode to the solution process, which amounts to a requirement that all stakeholders, ranging from decision makers to experts and beneficiaries, be involved in the decision making. However, these stakeholders may have different objectives, and this may lead to different or even conflicting courses of action, particularly when a selection must be made of the most appropriate coping strategy that may lead to sustainability. Multiple-criteria decision analysis is one paradigm that has the capability to handle these conflicting courses of action. There is a volume of research that has presented various strategies for flood risk management over the last couple of decades. Recent approaches have included computer-based modelling and infrastructure measurement. One finding providing a strong basis for the relevance of the problem we are trying to solve is that most of these strategies fail in the long run; this is particularly true in developing countries, considering their economic, infrastructure and social limitations.

 

Hence, a novel approach is very much warranted, and this is the central object of our study. An important aspect of its novelty lies in realising that instead of applying numerous strategies in isolation, one needs to combine and integrate them. Our research focuses on developing scenarios for integrating flood risk management strategies, based on multiple-criteria decision analysis to combine conflicting arguments in order to generate a viable strategy. Additional aspects of this holistic approach were imported from the area of business management, such as strategic planning and balanced scorecards for decision making within scenario planning. Finally, a long-term vision for a sustainable environment that minimises the impact of floods was designed using backcasting scenario planning.

 

The decision-making alternatives were risk, hazard, exposure and vulnerability, and these were used against a set of 24 criteria for control. These criteria were extracted from various coping and adaptive capabilities, and from environmental, economic, and social domains. The scenarios for the integration of flood risk management strategies are based on a real-life case study of the Limpopo River Basin, and specifically of the Chókwe district in Gaza province, Mozambique. The result of this research was a framework called SPIFRiMS, based on a sliding weight elicitation method. The framework and the data from the case study were implemented in Excel. The research outputs were five different scenarios illustrating different options from the perspectives of the stakeholders and beneficiaries in the light of their long-term views when compared to the actual state of the art. 

Place, publisher, year, edition, pages
Stockholm: Department of Computer and Systems Sciences, Stockholm University, 2018. p. 109
Series
Report Series / Department of Computer & Systems Sciences, ISSN 1101-8526 ; 18-004
Keyword
Flood risk management strategies, scenario planning, backcasting, MCDA, risk, hazards, exposure, vulnerability
National Category
Social Sciences
Research subject
Computer and Systems Sciences
Identifiers
urn:nbn:se:su:diva-154480 (URN)978-91-7649-543-8 (ISBN)978-91-7649-544-5 (ISBN)
Public defence
2018-05-25, Lilla hörsalen, Nod-huset, Borgarfjordsgatan 12, Kista, 13:00 (English)
Opponent
Supervisors
Available from: 2018-05-02 Created: 2018-03-29 Last updated: 2018-05-04Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Free full text

Search in DiVA

By author/editor
Mondlane, AvelinoPopov, Oliver
By organisation
Department of Computer and Systems Sciences
Information Systems

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 24 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf