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Measuring Community Vulnerability to Environmental Hazards: A Method for Combining Quantitative and Qualitative Data

Ahmed, B; Kelman, I; (2018) Measuring Community Vulnerability to Environmental Hazards: A Method for Combining Quantitative and Qualitative Data. Natural Hazards Review , 19 (3) , Article 04018008. 10.1061/(ASCE)NH.1527-6996.0000290. Green open access

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Abstract

This article has developed and implemented a method for incorporating and combining quantitative and qualitative data in measuring community vulnerability to environmental hazards. To illustrate the method in practice, a case study of landslides in Chittagong City Corporation (CCC), Bangladesh, is used. Quantitative information from household-level questionnaires is combined with qualitative maps and diagrams from participatory rural appraisal (PRA) surveying. Seven different PRA tools were implemented: social and resource mapping; transect mapping; vulnerability and dream mapping; mobility mapping; Venn diagrams; pair-wise ranking; and strengths, weaknesses, opportunities, and threats (SWOT) analysis. A convergent parallel design and weighted average decision support method is applied, covering community vulnerability indicators for physical, social, economic, ecological, institutional, and cultural aspects. The overall vulnerability on a scale of 0–1 of Motijharna, Batali Hill, and Golpahar communities in CCC is calculated respectively as 0.75, 0.68, and 0.56.

Type: Article
Title: Measuring Community Vulnerability to Environmental Hazards: A Method for Combining Quantitative and Qualitative Data
Open access status: An open access version is available from UCL Discovery
DOI: 10.1061/(ASCE)NH.1527-6996.0000290
Publisher version: http://doi.org/10.1061/(ASCE)NH.1527-6996.0000290
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Bangladesh; Disaster risk reduction; Landslides; Participatory rural appraisal; Vulnerability
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Inst for Risk and Disaster Reduction
URI: https://discovery.ucl.ac.uk/id/eprint/10039821
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