“…Existing roads in poor condition were easily eroded by the storm surge. Cyclone Aila washed away 23,820 houses and partially damaged 18,620 houses (Koyra Upazila Office 2010), and finally forced around 42,000 people to migrate from Koyra (Islam and Hasan 2016). The weak house structures and scattered settlements along the river were unsafe conditions that resulted in housing-related vulnerabilities (Alam and Collins 2010).…”
Section: Pav Of Physical Environment and Relevant Pavr Measuresmentioning
The need to consider disaster risk reduction at the time of recovery is well-recognized. Viable disaster risk reduction measures should resolve the root causes of predisaster vulnerabilities. Accordingly, we investigated the recovery from the impact of Cyclone Aila in Koyra Upazila, Bangladesh, which was severely damaged by this 2009 cyclone. Our research focused on understanding pre-Aila vulnerabilities to cyclone impact and examined the degree of inclusion of vulnerability reduction measures within the recovery process. A composite methodology that included an institutional survey, key informant interviews, collection of the judgment of experts, focus group discussions, and a score-based quantification technique was adopted. Through a process of understanding pre-Aila vulnerabilities, recognition of the root causes of these inherent weaknesses, and identification of appropriate measures for pre-Aila vulnerability reduction, a set of 23 indicators were selected to represent the most desirable vulnerability reduction measures to implement during recovery. A score-based technique was applied to measure the degree of inclusion of vulnerability reduction within the recovery with respect to the indicators. The scoring result shows that the degree of inclusion of vulnerability reduction within the recovery was poor. The result specifies that among the 23 indicators of potential vulnerability reduction measures, 10 are completely missing and the rest are only partially included. The overall findings imply that the Koyra community continues to live with a vulnerability similar to that of the pre-Aila period.
“…Existing roads in poor condition were easily eroded by the storm surge. Cyclone Aila washed away 23,820 houses and partially damaged 18,620 houses (Koyra Upazila Office 2010), and finally forced around 42,000 people to migrate from Koyra (Islam and Hasan 2016). The weak house structures and scattered settlements along the river were unsafe conditions that resulted in housing-related vulnerabilities (Alam and Collins 2010).…”
Section: Pav Of Physical Environment and Relevant Pavr Measuresmentioning
The need to consider disaster risk reduction at the time of recovery is well-recognized. Viable disaster risk reduction measures should resolve the root causes of predisaster vulnerabilities. Accordingly, we investigated the recovery from the impact of Cyclone Aila in Koyra Upazila, Bangladesh, which was severely damaged by this 2009 cyclone. Our research focused on understanding pre-Aila vulnerabilities to cyclone impact and examined the degree of inclusion of vulnerability reduction measures within the recovery process. A composite methodology that included an institutional survey, key informant interviews, collection of the judgment of experts, focus group discussions, and a score-based quantification technique was adopted. Through a process of understanding pre-Aila vulnerabilities, recognition of the root causes of these inherent weaknesses, and identification of appropriate measures for pre-Aila vulnerability reduction, a set of 23 indicators were selected to represent the most desirable vulnerability reduction measures to implement during recovery. A score-based technique was applied to measure the degree of inclusion of vulnerability reduction within the recovery with respect to the indicators. The scoring result shows that the degree of inclusion of vulnerability reduction within the recovery was poor. The result specifies that among the 23 indicators of potential vulnerability reduction measures, 10 are completely missing and the rest are only partially included. The overall findings imply that the Koyra community continues to live with a vulnerability similar to that of the pre-Aila period.
“…Behavioral response to environmental pressures, however, tends to be socially mediated and complex, as seen even in modeling studies that take social factors into account (Entwisle et al 2016). Environmental “push” forces are clearest in the wake of disasters, including climate-related disasters such as Cyclone Aila in Bangladesh (Islam and Hasan 2015) or Hurricane Katrina in New Orleans (DeWaard et al 2016; Finch et al 2010), but these affect people with diverse resources quite differently.…”
Residents of towns and villages in Arctic Alaska live on “the front line of climate change.” Some communities face immediate threats from erosion and flooding associated with thawing permafrost, increasing river flows, and reduced sea ice protection of shorelines. The term climigration, referring to migration caused by climate change, originally was coined for these places. Although initial applications emphasized the need for government relocation policies, it has elsewhere been applied more broadly to encompass unplanned migration as well. Some historical movements have been attributed to climate change, but closer study tends to find multiple causes, making it difficult to quantify the climate contribution. Clearer attribution might come from comparisons of migration rates among places that are similar in most respects, apart from known climatic impacts. We apply this approach using annual 1990–2014 time series on 43 Arctic Alaska towns and villages. Within-community time plots show no indication of enhanced out-migration from the most at-risk communities. More formally, there is no significant difference between net migration rates of at-risk and other places, testing several alternative classifications. Although climigration is not detectable to date, growing risks make either planned or unplanned movements unavoidable in the near future.
“…Natural disasters are one of the main reasons responsible for poverty in the district of Bogra. Heavy rainfall, floods, and cyclones have caused extensive damage to houses, crops, and livestock (Islam & Hasan, ).…”
Poverty is multidimensional in nature and exists in every part of the world. Microfinance is considered one of the most important programs to achieve poverty reduction, particularly in Bangladesh. It has been estimated that nearly 45% of Bangladesh's population lives below the poverty line. This qualitative research study was conducted in order to determine the effectiveness of microfinance programs and the contributing factors to the high-level of poverty among microfinance beneficiaries in the district of Bogra, Bangladesh. Study findings indicated that microfinance programs were ineffective as a result of high interest rates; insufficient loans; unproductive use of loans; corruption and poor skills of microfinance institution staff; weekly repayment schedules; and physical and mental harassment of poor women. Additionally, the lack of employment opportunities, education, healthcare facilities and social safety nets; natural disasters; the dowry system; and the rising cost of basic daily needs have also contributed to chronic poverty.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.