Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Measuring Vulnerability for City Dwellers Exposed to Flood Hazard: A Case Study of Dhaka City, Bangladesh
Recently, floods and natural disasters are occurring over the world frequently. It is not possible to avoid the natural occurrence of floods, but it could be managed effectively or minimize the losses and damages with the appropriate technique. The purpose of this study is to measure household vulnerability to flood hazard quantitatively as a tool for mitigation aspects. The study was conducted based on primary data. Therefore, 300 households (150 from slum and 150 from non-slum) were surveyed with a structured questionnaire on responsible factors (social, economic, institutional, structural, and environmental) of household vulnerability to flooding. The relative weight of each variable and indicators were assigned with the Analytical Hierarchy Process (AHP) to obtain household vulnerability scores. All the vulnerability scores of households were standardized to get uniform scale (ranges from 1–100). The results indicated that most (63.06%) of the slum households while only 20.02% non-slum households were highly vulnerable to flood. The present study also identified and evaluated the responsible factors that create people’s vulnerability to flooding hazards in Dhaka megacity. The key feature of this paper is to provide a unique method and model to calculate numeric household vulnerability to flooding hazards, and this practical approach is useful to quantify hazard-induced vulnerabilities not only for Dhaka but also for other cities especially for developing countries.
Measuring Vulnerability for City Dwellers Exposed to Flood Hazard: A Case Study of Dhaka City, Bangladesh
Recently, floods and natural disasters are occurring over the world frequently. It is not possible to avoid the natural occurrence of floods, but it could be managed effectively or minimize the losses and damages with the appropriate technique. The purpose of this study is to measure household vulnerability to flood hazard quantitatively as a tool for mitigation aspects. The study was conducted based on primary data. Therefore, 300 households (150 from slum and 150 from non-slum) were surveyed with a structured questionnaire on responsible factors (social, economic, institutional, structural, and environmental) of household vulnerability to flooding. The relative weight of each variable and indicators were assigned with the Analytical Hierarchy Process (AHP) to obtain household vulnerability scores. All the vulnerability scores of households were standardized to get uniform scale (ranges from 1–100). The results indicated that most (63.06%) of the slum households while only 20.02% non-slum households were highly vulnerable to flood. The present study also identified and evaluated the responsible factors that create people’s vulnerability to flooding hazards in Dhaka megacity. The key feature of this paper is to provide a unique method and model to calculate numeric household vulnerability to flooding hazards, and this practical approach is useful to quantify hazard-induced vulnerabilities not only for Dhaka but also for other cities especially for developing countries.
Measuring Vulnerability for City Dwellers Exposed to Flood Hazard: A Case Study of Dhaka City, Bangladesh
Stud. in Distributed Intelligence
Yuan, Xiaohui (Herausgeber:in) / Elhoseny, Mohamed (Herausgeber:in) / Huq, Md. Enamul (Autor:in) / Shoeb, A. Z. M. (Autor:in) / Javed, Akib (Autor:in) / Shao, Zhenfeng (Autor:in) / Hossain, Mallik Akram (Autor:in) / Sarven, Most. Sinthia (Autor:in)
26.06.2020
9 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Potential hazards and vulnerability in urban development of Dhaka city, Bangladesh
| British Library Conference Proceedings | 1997
Liquefaction hazard mapping by liquefaction potential index for Dhaka City, Bangladesh
| British Library Online Contents | 2015
| BASE | 2020