Households’ flood vulnerability and adaptation: Empirical evidence from mountainous regions of Pakistan

Ullah, Farman; Shah, Syed Azmat Ali; Saqib, Shahab E.; Yaseen, Muhammad; Haider, Muhammad Sharif

doi:10.1016/j.ijdrr.2020.101967

Cited by 29 publications

(21 citation statements)

References 58 publications

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“…Though there is no uniform definition of resilience yet [13,16,17,79], in terms of urban areas, it has been defined as their ability to face the adverse impacts of extreme events and having the capacity to adapt and respond to all kind of disturbances [18,19]. According to Rey et al [20], resilience is the ability of a system to resist, absorb, adapt, and recover from the adverse effects of a hazard in a timely and effective manner through the preservation and restoration of its essential structures and functions.…”

Section: Discussionmentioning

confidence: 99%

“…The year 2010 brought severe floods in the history of Pakistan, leading to widespread damages and devastation across the country [12]. The 2010 floods alone resulted in the deaths of 1985 people with an estimated economic loss of USD 9.7 billion to the country's economy and affected around 20 million people in 78 districts of Pakistan [13].…”

Section: Introductionmentioning

confidence: 99%

“…Specifically, this study aims to identify flood sensitivity and coping capacity while assessing the urban flood resilience in Peshawar city. Keeping in mind the previous research studies on urban floods resilience in different parts of the world [1,10,13,23,31,36,37]. We designed this study to assess the urban flood resilience in Peshawar city, using multiple indicators and different aspects of the local urban community.…”

Section: Introductionmentioning

confidence: 99%

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GIS-Based Urban Flood Resilience Assessment Using Urban Flood Resilience Model: A Case Study of Peshawar City, Khyber Pakhtunkhwa, Pakistan

et al. 2021

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Urban flooding has been an alarming issue in the past around the globe, particularly in South Asia. Pakistan is no exception from this situation where urban floods with associated damages are frequently occurring phenomena. In Pakistan, rapid urbanization is the key factor for urban flooding, which is not taken into account. This study aims to identify flood sensitivity and coping capacity while assessing urban flood resilience and move a step toward the initialization of resilience, specifically for Peshawar city and generally for other cities of Pakistan. To achieve this aim, an attempt has been made to propose an integrated approach named the “urban flood resilience model (UFResi-M),” which is based on geographical information system(GIS), remote sensing (RS), and the theory of analytical hierarchy process (AHP). The UFResi-M incorporates four main factors—urban flood hazard, exposure, susceptibility, and coping capacity into two parts, i.e., sensitivity and coping capacity. The first part consists of three factors—IH, IE, and IS—that represent sensitivity, while the second part represents coping capacity (ICc). All four indicators were weighted through AHP to obtain product value for each indicator. The result showed that in the Westzone of the study area, the northwestern and central parts have very high resilience, whereas the southern and southwestern parts have very low resilience. Similarly, in the East zone of the study area, the northwest and southwest parts have very high resilience, while the northern and western parts have very low resilience. The likelihood of the proposed model was also determined using the receiver operating characteristic (ROC) curve method; the area under the curve acquired for the model was 0.904. The outcomes of these integrated assessments can help in tracking community performance and can provide a tool to decision makers to integrate the resilience aspect into urban flood management, urban development, and urban planning.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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GIS-Based Urban Flood Resilience Assessment Using Urban Flood Resilience Model: A Case Study of Peshawar City, Khyber Pakhtunkhwa, Pakistan

et al. 2021

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“…There are two strands of research on the nexus between climate disasters and society. The first focuses on the association with economic losses [9][10][11][12]. For example, Dasgupta, Laplante, Murray, and Wheeler [9] examined the economic impact of sea-level rise in 84 developing countries, claiming that increasing sea level per meter can reduce agricultural land by 7%, which means 10% of GDP losses in the agricultural sectors.…”

Section: Introductionmentioning

confidence: 99%

“…For example, Dasgupta, Laplante, Murray, and Wheeler [9] examined the economic impact of sea-level rise in 84 developing countries, claiming that increasing sea level per meter can reduce agricultural land by 7%, which means 10% of GDP losses in the agricultural sectors. Ullah, Shah, Saqib, Yaseen, and Haider [12] assessed the households' vulnerability to floods in Pakistan, highlighting the vulnerability of the daily wagers as they lost their primary source of income. Due to their financial limitations, these residents living in poverty were also unable to mitigate the impact of floods, i.e., reconstruct their house or move to a safer place.…”

Section: Introductionmentioning

confidence: 99%

Climate Disasters and Subjective Well-Being among Urban and Rural Residents in Indonesia

et al. 2022

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Climate disasters pose a risk to residents’ well-being globally. However, information about the impact of climate disasters among urban and rural residents remains lacking, especially in Indonesia. This study aims to fill the gap by investigating the impact of climate disaster on subjective well-being based on urban and rural typology model. The data were cross-sectional, involving 7110 Indonesian residents who had experienced climate disasters, 3813 from urban areas and 3297 from rural areas. An ordered probit model was employed to estimate the impact of climate disasters on subjective well-being (i.e., happiness and life satisfaction). In general, the empirical results show that climate disasters do not significantly affect the happiness of Indonesian residents, but they significantly and negatively impact their life satisfaction. Further analysis reveals that climate disasters impact urban and rural residents differently. The subjective well-being of rural residents is more severely affected than those living in urban areas. Further estimation also indicated that climate disaster significantly reduces residents’ subjective well-being at the lowest income level for both rural and urban residents. Our finding confirms that rural residents remain the most vulnerable to the impacts of climate change.

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Adaptation Strategies for Asian Farmers Against Climate Change

Sarker,

Raihan,

Chumky

et al. 2023

SDGs in the Asia and Pacific Region

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Households’ flood vulnerability and adaptation: Empirical evidence from mountainous regions of Pakistan

Cited by 29 publications

References 58 publications

GIS-Based Urban Flood Resilience Assessment Using Urban Flood Resilience Model: A Case Study of Peshawar City, Khyber Pakhtunkhwa, Pakistan

GIS-Based Urban Flood Resilience Assessment Using Urban Flood Resilience Model: A Case Study of Peshawar City, Khyber Pakhtunkhwa, Pakistan

Climate Disasters and Subjective Well-Being among Urban and Rural Residents in Indonesia

Adaptation Strategies for Asian Farmers Against Climate Change

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