社会经济地位
类型学
适应(眼睛)
二元分析
地理
大洪水
独创性
心理弹性
心理学
逻辑回归
社会经济学
社会心理学
人口学
社会学
统计
数学
人口
考古
神经科学
创造力
出处
期刊:International journal of building pathology and adaptation
[Emerald Publishing Limited]
日期:2023-05-23
被引量:2
标识
DOI:10.1108/ijbpa-01-2023-0014
摘要
Purpose Understanding the technical and socioeconomic dimensions to resilience is core to making a business case for property-level flood risk adaptation. The study investigates the socioeconomic factors that impact the technical dimensions to property-level flood risk adaptation, and whether there is a typology of households adopting similar adaptation measures in Port Harcourt. Design/methodology/approach Exploratory and inferential statistical analysis of data collated from 407 questionnaires was carried out. Using chi-square analysis, significant bivariate associations were sought between the level of uptake of different categories of property level adaptation and the socioeconomic characteristics of households. A two-step cluster analysis was used to explore discernible patterns of households implementing similar adaptation measures. Logistic regression analysis was further used to evaluate the extent to which socioeconomic parameters impact residents' willingness to undertake adaptation measures given the option of relocation. Findings The chi-square analysis highlighted a lack of significant association between some socioeconomic parameters and the uptake of individual adaptation measures. The regression analysis however showed that the socioeconomic parameters exert varying degrees of influence on the residents' willingness to undertake adaptation measures. Two homogeneous groups of residents with similar socioeconomic characteristics were identified via the cluster analysis but did not translate into strongly discernible adaptation differences/patterns. Practical implications The study shows that although socioeconomic parameters to some extent underlie the technical dimensions to flood resilience, there is no distinctive typology of households in Port Harcourt adopting a similar combination of measures. Originality/value The study offers insights into understanding property-level flood risk adaptation responses within the context of the developing world.
科研通智能强力驱动
Strongly Powered by AbleSci AI