Author: Irfan Ahmad Rana
AIT Library Call Number: AIT Diss. no.RD-17-03
Year: 2017
Academic Program: Regional and Rural Development Planning (RRDP)
Type: Thesis (Ph. D.) – Asian Institute of Technology, 2017
Examination Committee: Jayant Kumar Routray (Chairperson); Mokbul Morshed Examination Committee Ahmad, Mukand Singh Babel (Examination Committee Members)
Abstract: Urban flood ing has been an alarming issue during the past years in several regions of the world, especially Asia. Understanding the degree of vulnerability and risk are essential to work out risk reduction measures. Pakistan has been experiencing an increase in the frequency and severity of floods in the recent past – consequently the resultant damages have also soared significantly. There is an immediate need to evaluate flood risks and adaptation in flood prone communities, in order to effectively plan strategies for improving disaster preparedness and response. The broad objective is to develop risk assessment methodology and apply in different cities of Pakistan for understanding the similarities and differences between three communities. This research revisits the concepts behind disaster risk (actual risk), re lating directly to hazard and vulnerability (exposure and sensitivity), and inversely to capacity. Risk perception assessment is also equally important as it shows the community’s wi llingness to implement flood preparedness measures. This study proposes a new methodology for actual risk assessment and risk perception in the light of disaster risk science and climate change adaptation for flood prone urban communities. This study utilizes both qualitative and quantitative methods. Multistage sampling was employed for selection of study area. Three cities with different population size situated in high risk flood zones of Pakistan were selected for empirical investigation. The cities were Rawalpindi with an urban population more than I million characterized by mixed functions, Sialkot with a population between 0.5 to I million that specializes in industrial function, and Muzaffargarh with a population below 0.5 million that reflects agro-industrial function. In last stage, three communities (neighborhoods) were selected based on frequent floodi ng and location along the nullahs and rivers. A total of 210 samples were collected using random sampling with the share of 70 from each urban community. Focu
Scholarship Donor(s): Higher Education Commission (HEC), Pakistan; AIT Fellowship
Note: A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Regional and Rural Development Planning
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