At Risk. Natural Hazards, People's Vulnerability and Disasters

Calderon, Georgina; Macías, Jesús Manuel; Serrat, Carolina; Villegas, Claudia P.; Blaikie, Piers; Cannon, Terry; Davis, Ian J.; Wisner, Ben

doi:10.2307/144528

Cited by 351 publications

(554 citation statements)

References 0 publications

Supporting

Mentioning

262

Contrasting

Unclassified

Order By: Relevance

“…External threats refer to the actual or potential events that may have a negative impact on consumer well-being, including economic, health, information, environmental, and social threats [59]. Extensive literature in behavioral health [60], the social sciences [61], and the humanities [62] has examined external threats and consequences. In this study, we described the adaptive responses of consumers and the significance of market adaptive responses in the face of infectious disease cues as a health threat.…”

Section: Theoretical Contributionmentioning

confidence: 99%

The Influence of Infectious Disease Cues on Purchase Intention for Environmentally Friendly Products

Wang

2021

IJERPH

View full text Add to dashboard Cite

Consumers often come across cues of infectious disease in daily life, such as diners coughing in restaurants, commuters sneezing on the bus, or recent news reports about the spread of infectious diseases. In this study, four experiments were conducted to explore the role of infectious disease cues on consumers’ purchase intention for environmentally friendly products (eco-friendly products), as well as the moderating effects of consumers’ sense of power and anti-disease intervention. According to the results, infectious disease cues enhance consumers’ intent to purchase eco-friendly products, and perceived uncertainty and need to belong played a chain-mediated role in the relationship between infectious disease cues and this purchase intention. Consumers’ sense of power moderated the relationship between infectious disease cues and purchase intention. The purchase intention of consumers with a low sense of power (vs. high sense of power) was significantly enhanced when the infectious disease cues were highlighted. Anti-disease interventions also have a moderating effect on the relationship between infectious disease cues and purchase intention. When anti-disease intervention (such as wearing an anti-bacterial mask against airborne diseases) was adopted, consumers’ willingness to purchase eco-friendly products decreased.

show abstract

Section: Theoretical Contributionmentioning

confidence: 99%

The Influence of Infectious Disease Cues on Purchase Intention for Environmentally Friendly Products

Wang

2021

IJERPH

View full text Add to dashboard Cite

show abstract

“…Vulnerability reflects the likelihood of damage and can be related to the exposure and sensitivity of the system [13]. Moreover, vulnerability is the component of risk, shown as "risk = hazard Â vulnerability" [14]. Resilience analysis refers to the speed of returning to the equilibrium after hazards, whereas vulnerability analysis refers to the susceptibility to hazard events on a dynamic system [15,16].…”

Section: Vulnerabilitymentioning

confidence: 99%

Enhancing the Community Resilience with a Network Structuring Model

Zhong¹

2020

Flood Impact Mitigation and Resilience Enhancement

View full text Add to dashboard Cite

Community resilience is a key index for describing the response of human habitat system against hazards. Enhancing the community resilience to flood disaster requires indicator identification and measurement system establishment, especially for flooding risk management. In this study, an advanced index framework for measuring community resilience to flood disaster is proposed integrating fuzzy Delphi method (FDM) and interpretative structural model (ISM). Based on the definition of community resilience, the indicators are classified into six dimensions, including environmental factors, social factors, economic factors, psychological factors, institutional factors, and information and communication factors. A simplified community resilience evaluation index system is established by using FDM, and the hierarchical network structure of the community resilience to flood disasters is confirmed, in which the direct influence indicators and the root influence indicators are analyzed. The proposed framework in this study contributes to the interdisciplinary understanding of community resilience to flooding disasters and building a more resilience community; it is also expected to be extended for risk reduction in other natural hazards.

show abstract

“…By analyzing the factors contributing to social vulnerability, a set of more than 100 evaluation indicators was obtained (Fischer et al, 2002;Wisner et al, 2004;Yuan et al, 2016). The evaluation indicators were then simplified using rough set theory.…”

Section: Indicator System Of Social Vulnerability Evaluationmentioning

confidence: 99%

“…While social vulnerability places more emphasis on its social connotation, focusing on the analysis from the perspective of the characteristics of a person or group in terms of their capacity to anticipate, cope with, resist, and recover from the impacts of a natural hazard is important (Dwyer et al, 2004;Wisner et al, 2004;Zhang and You, 2014). Social vulnerability is partially the product of social inequalities and is a function of the demographics of the population as well as more complex constructs, such as healthcare, social capital, and access to lifelines (Cutter and Emrich, 2006).…”

Section: Introductionmentioning

confidence: 99%

“…People began to realize that simply understanding the characteristics of biophysical vulnerability is not enough to analyze the losses caused by disasters and the ability to quickly recover from the disasters (Schmidtlein et al, 2008). The evaluation of social vulnerability is thought to be an important step in disaster risk management (Wisner et al, 2004;Cutter and Finch, 2008). It is necessary for governments to analyze the social vulnerability of coastal cities in order to build policies for distributing relief funds and assist the region to improve its capabilities against coastal disasters (Wei et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Temporal variability of social vulnerability to storm surges in Shenzhen, China

Shen

Kelly³

et al. 2019

Preprint

View full text Add to dashboard Cite

Abstract. A social vulnerability evaluation of storm surges is important for any coastal city to commence in order to provide marine disaster preparedness and mitigation procedures and to formulate post-disaster emergency plans for coastal communities. This study establishes an integrated evaluation system of social vulnerability by blending a variety of single evaluation methods, applying the idea of combination weighting and calculating the social vulnerability index of storm surges. Shenzhen, with a current reputation of having the most economic development potential and a representative city in China, is chosen to evaluate its social vulnerability to storm surges via a historical social and economic statistical dataset spanning from 1986 to 2016. The research extends further by analyzing the city’s temporal variability. Results reveal that social vulnerability keeps almost constant from 1986–1991 and 1993–2004, while it decreased sharply in the remainder of times to show a ‘stair-type’ declining curve over the past 30 years. Resilience is progressively increasing by virtue of a continuous increase in medical institutions, fixed asset investments and salary levels of employees. These determinants contribute to the overall downward trend of social vulnerability for Shenzhen. Exposure and sensitivity increased slowly with some fluctuation, causing the changes of social responsibility to transpire.

show abstract

At Risk. Natural Hazards, People's Vulnerability and Disasters

Cited by 351 publications

References 0 publications

The Influence of Infectious Disease Cues on Purchase Intention for Environmentally Friendly Products

The Influence of Infectious Disease Cues on Purchase Intention for Environmentally Friendly Products

Enhancing the Community Resilience with a Network Structuring Model

Temporal variability of social vulnerability to storm surges in Shenzhen, China

Contact Info

Product

Resources

About