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

被引：36

作者：

Ahmed, Bayes ^{[1
,2
]}

Kelman, Ilan ^{[1
,3
,4
]}

机构：

[1] UCL, UCL Inst Risk & Disaster Reduct, Gower St, London WC1E 6BT, England

[2] UCL, UCL Humanitarian Inst, Gower St, London WC1E 6BT, England

[3] UCL, UCL Inst Global Hlth, London WC1E 6BT, England

[4] Univ Agder, Kristiansand, Norway

来源：

NATURAL HAZARDS REVIEW | 2018年 / 19卷 / 03期

关键词：

Bangladesh; Disaster risk reduction; Landslides; Participatory rural appraisal; Vulnerability; SOCIAL VULNERABILITY; SOCIOECONOMIC VULNERABILITY; LIVELIHOOD VULNERABILITY; INDEX; RISK;

D O I：

10.1061/(ASCE)NH.1527-6996.0000290

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

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.

引用

页数：10

共 45 条

[21] Urban social vulnerability assessment with physical proxies and spatial metrics derived from air- and spaceborne imagery and GIS data [J].

Ebert, Annemarie ;

Kerle, Norman ;

Stein, Alfred .

NATURAL HAZARDS, 2009, 48 (02) :275-294

[22] Assessment of socioeconomic vulnerability to landslides using an indicator-based approach: methodology and case studies [J].

Eidsvig, U. M. K. ;

McLean, A. ;

Vangelsten, B. V. ;

Kalsnes, B. ;

Ciurean, R. L. ;

Argyroudis, S. ;

Winter, M. G. ;

Mavrouli, O. C. ;

Fotopoulou, S. ;

Pitilakis, K. ;

Baills, A. ;

Malet, J. -P. ;

Kaiser, G. .

BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2014, 73 (02) :307-324

[23] The Multidimensional Livelihood Vulnerability Index - an instrument to measure livelihood vulnerability to change in the Hindu Kush Himalayas [J].

Gerlitz, Jean-Yves ;

Macchi, Mirjam ;

Brooks, Nick ;

Pandey, Rajiv ;

Banerjee, Soumyadeep ;

Jha, Shashidhar Kumar .

CLIMATE AND DEVELOPMENT, 2017, 9 (02) :124-140

[24]

Hewitt K., 1983, INTERPRETATIONS CALA

[25] Replicating and Adapting an Index of Social Vulnerability to a New Context: A Comparison Study for Norway [J].

Holand, Ivar Svare ;

Lujala, Paivi .

PROFESSIONAL GEOGRAPHER, 2013, 65 (02) :312-328

[26] A methodological framework for rapidly assessing the impacts of climate risk on national-level food security through a vulnerability index [J].

Krishnamurthy, P. K. ;

Lewis, K. ;

Choularton, R. J. .

GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2014, 25 :121-132

[27]

Kruger F., 2015, Cultures and Disasters: Understanding Cultural Framings in Disaster Risk Reduction, DOI [10.4324/9781315797809, DOI 10.4324/9781315797809]

[28]

Kumar S., 2002, METHODS COMMUNITY PA

[29]

Lewis J., 1999, DEV DISASTER PRONE P

[30]

Lindell MK., 2003, NAT HAZARDS REV, V4, P176, DOI [DOI 10.1061/(ASCE)1527-6988(2003)4:4(176), 10.1061/(asce)1527-6988(2003)4:4(176)]

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