Earthquake Insurance: Mandated Disclosure and Homeowner Response in California

Palm, Risa; Hodgson, Michael E.

doi:10.1111/j.1467-8306.1992.tb01905.x

Cited by 49 publications

(31 citation statements)

References 24 publications

(20 reference statements)

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“…Many researchers have used, implicitly or explicitly, this integrative approach in a wide array of spatial contexts, ranging from national to local (Liverman 1986, 1990b, Blaikie & Brookfield 1987, Lewis 1987, Wilhite & Easterling 1987, Mitchel et al 1989, Palm & Hodgson 1992, Degg 1993, Longhurst 1995, Clark et al 1998). …”

Section: Meanings Of Vulnerabilitymentioning

confidence: 99%

Vulnerability of coastal communities to sea-level rise: a case study of Cape May County, New Jersey, USA

Wu¹,

Yarnal²,

Fisher³

2002

Clim. Res.

334

192

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This study demonstrates how sea-level rise increases the vulnerability of coastal communities to flooding associated with coastal storms. The case study applies a GIS-based methodology to assess the vulnerability of Cape May County, New Jersey, to flood hazards caused by both riverine flooding and coastal storm surges. For storm events of differing intensities, it first identifies areas that will be inundated and how they will change with projected sea-level rise. It then assesses the social vulnerability of the county, taking into account factors such as age, gender, race, income and housing conditions. Finally, it combines physical and social vulnerabilities to create a picture of the county's present overall vulnerability, as well as how this will change with projected sea-level rise. To account for uncertainties in projections, possible ranges of both population growth and sea-level rise are incorporated in low, medium and high scenarios. The results show that sea-level rise will increase the vulnerability of the county to flood hazards considerably by increasing the areas that are exposed to the highest flood risk, hence increasing the number of critical facilities, properties, and people to the risk of flooding. Comparing the upper-and lower-bound scenarios indicates that poorly managed development could increase the county's vulnerability to flooding. These results suggest that decision-makers could reduce vulnerability by making choices that steer development away from highrisk areas.

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Section: Meanings Of Vulnerabilitymentioning

confidence: 99%

Vulnerability of coastal communities to sea-level rise: a case study of Cape May County, New Jersey, USA

Wu¹,

Yarnal²,

Fisher³

2002

Clim. Res.

334

192

View full text Add to dashboard Cite

show abstract

“…Three prominent themes have been identified in one review of this research (Cutter, 1996): biophysical vulnerability, social vulnerability, and place vulnerability. The first conceptualizes vulnerability as the potential exposure to biophysical hazards and, from a spatial standpoint, emphasizes proximity to the hazard source as a determinant of vulnerability (e.g., Palm and Hodgson, 1992). The second considers vulnerability as the capacity of individuals or societies to cope and respond to hazards.…”

Section: Businesses and Disaster Vulnerabilitymentioning

confidence: 99%

Disaster vulnerability of businesses in the 2001 Nisqually earthquake

Chang

Falit-Baiamonte

2002

Environmental Hazards

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This paper examines the impacts of the February, 2001, Nisqually earthquake on businesses. Focusing on two hard-hit business districts in Seattle, the study investigates the extent of losses, patterns of disparities, and underlying loss factors. A conceptual framework is proposed of how business vulnerability dimensions contribute to disaster loss. Interviews were conducted with owners and managers of 107 businesses. Data were gathered on impacts, methods of finance, and disaster preparedness. Results showed that business losses were much greater than what standard statistical data would imply. Analysis found that a composite index of vulnerability-based on business sector, size, and building occupancy tenure-provides a very powerful predictor of business loss. Physical damage was a much weaker predictor of loss. Moreover, business recovery was influenced not only by characteristics of the business itself, but also by conditions in the neighborhood.

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“…Analyses of fragile lands in Latin American collected in Browder (1989) as well as Cassel-Gintz et al's (1997) global assessment of marginal agricultural lands exemplifies this perspective. The substantial body of research on disasters that focuses on the impacts of specific geophysical ''agents''-e.g., Palm and Hodgson (1992)likewise employs a biophysical perspective (Hewitt, 1995).…”

Section: Introductionmentioning

confidence: 99%