{"title":"量化巴基斯坦伊斯兰堡易发洪灾社区的城市适应规划:基于指数的方法","authors":"Hassam Bin Waseem, Irfan Ahmad Rana","doi":"10.1016/j.ijdrr.2025.105762","DOIUrl":null,"url":null,"abstract":"<div><div>Urban flood risks have increased due to climate change and uncontrolled urbanization. There is a limited understanding regarding the conceptualization and quantification of the adaptation planning concept from a community perspective. This study fills the gap by proposing an adaptation planning index for flood-prone urban communities. Three urban communities in Islamabad, Pakistan, were selected for this study. A sample of 600 households was collected using structured questionnaires. Perceived adaptation planning was measured from two perspectives. The Dimension-based Adaptation Planning Index (D-API) was used to measure perceptions regarding behavioral, structural, and ecological adaptation planning dimensions, while the Component-based Adaptation Planning Index (C-API) evaluated awareness, willingness, and self-efficacy. The indexes were developed based on context-specific socioeconomic and adaptation planning indicators relevant to the urban flood risk landscape in Islamabad, Pakistan. Correlation analysis revealed a strong correlation among the adaptation dimensions and a moderate correlation among adaptation components. Multiple regression analysis identified socioeconomic factors that affect adaptation planning. The results indicate that the communities possess greater knowledge of and trust in ecological adaptation planning measures. High mean values were observed for willingness and self-efficacy. Education level and previous flood experience positively influenced adaptation planning, while age, household size, number of elderly members, and sources of income had a negative influence. The proposed index can assist development practitioners, planners, policymakers, and disaster managers in validating their current and proposed flood adaptation strategies. The index can be customized according to local conditions and hazard type for effective risk reduction and adaptation planning for urban areas.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"128 ","pages":"Article 105762"},"PeriodicalIF":4.5000,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantifying urban adaptation planning in flood-prone communities of Islamabad, Pakistan: An index-based approach\",\"authors\":\"Hassam Bin Waseem, Irfan Ahmad Rana\",\"doi\":\"10.1016/j.ijdrr.2025.105762\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Urban flood risks have increased due to climate change and uncontrolled urbanization. There is a limited understanding regarding the conceptualization and quantification of the adaptation planning concept from a community perspective. This study fills the gap by proposing an adaptation planning index for flood-prone urban communities. Three urban communities in Islamabad, Pakistan, were selected for this study. A sample of 600 households was collected using structured questionnaires. Perceived adaptation planning was measured from two perspectives. The Dimension-based Adaptation Planning Index (D-API) was used to measure perceptions regarding behavioral, structural, and ecological adaptation planning dimensions, while the Component-based Adaptation Planning Index (C-API) evaluated awareness, willingness, and self-efficacy. The indexes were developed based on context-specific socioeconomic and adaptation planning indicators relevant to the urban flood risk landscape in Islamabad, Pakistan. Correlation analysis revealed a strong correlation among the adaptation dimensions and a moderate correlation among adaptation components. Multiple regression analysis identified socioeconomic factors that affect adaptation planning. The results indicate that the communities possess greater knowledge of and trust in ecological adaptation planning measures. High mean values were observed for willingness and self-efficacy. Education level and previous flood experience positively influenced adaptation planning, while age, household size, number of elderly members, and sources of income had a negative influence. The proposed index can assist development practitioners, planners, policymakers, and disaster managers in validating their current and proposed flood adaptation strategies. The index can be customized according to local conditions and hazard type for effective risk reduction and adaptation planning for urban areas.</div></div>\",\"PeriodicalId\":13915,\"journal\":{\"name\":\"International journal of disaster risk reduction\",\"volume\":\"128 \",\"pages\":\"Article 105762\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of disaster risk reduction\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2212420925005862\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of disaster risk reduction","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212420925005862","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
Quantifying urban adaptation planning in flood-prone communities of Islamabad, Pakistan: An index-based approach
Urban flood risks have increased due to climate change and uncontrolled urbanization. There is a limited understanding regarding the conceptualization and quantification of the adaptation planning concept from a community perspective. This study fills the gap by proposing an adaptation planning index for flood-prone urban communities. Three urban communities in Islamabad, Pakistan, were selected for this study. A sample of 600 households was collected using structured questionnaires. Perceived adaptation planning was measured from two perspectives. The Dimension-based Adaptation Planning Index (D-API) was used to measure perceptions regarding behavioral, structural, and ecological adaptation planning dimensions, while the Component-based Adaptation Planning Index (C-API) evaluated awareness, willingness, and self-efficacy. The indexes were developed based on context-specific socioeconomic and adaptation planning indicators relevant to the urban flood risk landscape in Islamabad, Pakistan. Correlation analysis revealed a strong correlation among the adaptation dimensions and a moderate correlation among adaptation components. Multiple regression analysis identified socioeconomic factors that affect adaptation planning. The results indicate that the communities possess greater knowledge of and trust in ecological adaptation planning measures. High mean values were observed for willingness and self-efficacy. Education level and previous flood experience positively influenced adaptation planning, while age, household size, number of elderly members, and sources of income had a negative influence. The proposed index can assist development practitioners, planners, policymakers, and disaster managers in validating their current and proposed flood adaptation strategies. The index can be customized according to local conditions and hazard type for effective risk reduction and adaptation planning for urban areas.
期刊介绍:
The International Journal of Disaster Risk Reduction (IJDRR) is the journal for researchers, policymakers and practitioners across diverse disciplines: earth sciences and their implications; environmental sciences; engineering; urban studies; geography; and the social sciences. IJDRR publishes fundamental and applied research, critical reviews, policy papers and case studies with a particular focus on multi-disciplinary research that aims to reduce the impact of natural, technological, social and intentional disasters. IJDRR stimulates exchange of ideas and knowledge transfer on disaster research, mitigation, adaptation, prevention and risk reduction at all geographical scales: local, national and international.
Key topics:-
-multifaceted disaster and cascading disasters
-the development of disaster risk reduction strategies and techniques
-discussion and development of effective warning and educational systems for risk management at all levels
-disasters associated with climate change
-vulnerability analysis and vulnerability trends
-emerging risks
-resilience against disasters.
The journal particularly encourages papers that approach risk from a multi-disciplinary perspective.