Measuring Household Resilience to Cyclone Disasters in Coastal Bangladesh

被引:13
作者
Al-Maruf, Abdullah [1 ]
Jenkins, J. Craig [2 ]
Bernzen, Amelie [3 ]
Braun, Boris [4 ,5 ]
机构
[1] Univ Rajshahi, Dept Geog & Environm Studies, Rajshahi 6205, Bangladesh
[2] Ohio State Univ, Dept Sociol, 238 Townshend Hall,1885 Neil Ave Mall, Columbus, OH 43210 USA
[3] Univ Vechta, Inst Spatial Anal & Planning Areas Intens Agr ISP, Fac Geog 2, Driverstr 22, D-49377 Vechta, Germany
[4] Univ Cologne, Global South Study Ctr, Albertus Magnus Pl, D-50923 Cologne, Germany
[5] Univ Cologne, Inst Geog, Albertus Magnus Pl, D-50923 Cologne, Germany
基金
美国国家科学基金会;
关键词
disaster risk reduction; vulnerability to environmental hazards; rural livelihoods; social science survey; principal component analysis; composite index; CLIMATE-CHANGE; COMMUNITY RESILIENCE; LIVELIHOOD RESILIENCE; COPING STRATEGIES; VULNERABILITY; FLOOD; INDEX; HAZARD; SURGE; MODEL;
D O I
10.3390/cli9060097
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The main objective of this paper is to measure the level of household resilience to cyclone and storm surges in the coastal area of Bangladesh. We draw on four general disaster frameworks in terms of addressing household-level resilience to cyclones and storm surges. We use a composite indicator approach organized around four components: (1) household infrastructure (HI); (2) household economic capacity (HEC); (3) household self-organization and learning (HSoL), and; (4) social safety nets (SSN). Drawing on a household survey (N = 1188) in nine coastal union parishads in coastal Bangladesh purposively selected as among the most vulnerable places in the world, we use principal components analysis applied to a standardized form of the survey data that identifies key household resilience features. These household index scores can be used for the assessment and monitoring of household capacities, training, and other efforts to improve household cyclone resilience. Our innovative methodological approach allows us to (a) identify patterns and reveal the underlying factors that accurately describe the variation in the data; (b) reduce a large number of variables to a much smaller number of core dimensions of household resilience, and (c) to detect spatial variations in resilience among communities. Aggregated to the community level, our new index reveals significant differences in community cyclone resilience in different areas of the coastal region. In this way, we can show that shoreline and island communities, in particular, have significant deficits in terms of household resilience, which seem to be mutually reinforcing one another and making for lower resilience.
引用
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页数:19
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