Bishawjit Mallick*
Coastal Research Foundation, Khulna, Bangladesh
Utpal Kumar Das
Coastal Research Foundation, Khulna, Bangladesh
Sk. Shahidul Islam
Coastal Research Foundation, Khulna, Bangladesh
Sudeb Kumar Das
Coastal Research Foundation, Khulna, Bangladesh
Md. Nazrul Islam
Coastal Research Foundation, Khulna, Bangladesh
Infrastructural Vulnerability, Coastal Livelihood, Central Infrastructure, Cyclone Aila, Centrality of Infrastructure
Gabura union of Shyamnagor Upazila in Satkhira, Bangladesh.
Socio-economic and Policy
Livelihood, Vulnerable
Study Area: Gabura union of Shayamnagor Upazila in Satkhira district, is an island, surrounded by two big rivers (Kholpetua in western side and Kapotaskha in eastern side). The annual population growth rate is 1.70%. In the study area population below 10 years of age is 27.80%. Among the population of age 10 years and above those recorded idle are 28.03%, looking for work 1.42%, doing household work 34.79% and employed the remaining 35.76%. The literacy rate of Gabura union is 31.40%. Around 37666 populations live in an area of 41 sq. km. and all of them were affected by cyclone Aila and in aftermath by water-logging. Death toll counted as 24, crops and fisheries damages counted as US$ 32857 and total 35.25 km roads were damaged (Gabura Union Parishad 2009).
Nearest neighbourhood scale (R) by Clarks and Evans (1954) was followed in assessing the equality of distribution of the cyclone centres and health care facilities and Bhat (2003) was followed in assessing the weight for each facilities.
Here 500 m distance for primary school/cyclone shelter is considered because of the standard of cyclone shelter design. It is explained in the design manual that people who resides within 500 m distance from a cyclone shelter can be able to take shelter safely during any cyclone in a cyclone shelter, though there should have good road communication. For primary health care facilities, a 1 km radial distance was considered. Presently the local government and health ministry of Bangladesh had implemented only one primary health care facility for each union. The distance for other institution and infrastructure (i.e. high school, market place, mosque, paved road etc.) group discussion outcomes were considered which was found to be within hundred meters from the houses. The discussant also voiced their requirement of a market within a km from their houses so that they could buy the necessary goods to prepare for the disaster. Uniformity of distribution was calculated as follows: Ri = SHi / SH
where, Ri= Uniformity of Distribution Value of the ith infrastructure, SH = Total Number of Sample, SHi = No. of sampled HH are possessing the chance of ith infrastructure. The Ri varies between ‘0 to 1’ (0 ≥ Ri ≤ 1). So, if the value of Ri = 1, then the ith infrastructure is equally distributed and support 100% of the total population; similarly if Ri = 0, then there is no support of the ith infrastructure. Demand index for each infrastructure to analyze the “centrality of functions (infrastructure/Institutions)”, was calculated as follows: Di = Ei * SH / SHi
Where Di = Total Demand of the ith infrastructure according to the existing support services in the study area without considering the population growth; Ei = Total Number ith infrastructure is presently exist in the study area. By using the Di and Ei value, a ‘degree of demand (DD)’ of the i-th infrastructure (DDi) is calculated as: DDi = Di - Ei / Di
The DDi varies between ‘0 to 1’ ( 0 < DDi > 1 ).So, if the value of DDi = 0, then the ith infrastructure supports 100% of the total population; similarly if DDi = 1, then there is no support of the ith infrastructure. It also explains that the Ri value is contra-productive with DDi value.
Khulna University Studies Special Issue (SESB 2010): 119-126: June, 2010
Journal