Toward Development of the Tornado Impact-Community Vulnerability Index

Stimers, Mitchel; Paul, Bimal Kanti

doi:10.4172/2167-0587.1000161

Cited by 4 publications

(1 citation statement)

References 21 publications

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“…Stimers MJ and Paul BK (2016) in their research titled "Toward Development of the Tornado Impact-Community Vulnerability Index", found that vulnerability in pre-disaster is influenced by age, race, income, gender, infrastructure, building density, environment and health. The behaviour of citizens in the community, the quality of construction protection, and the effectiveness of the warning system also affect vulnerability.…”

Section: Introductionmentioning

confidence: 99%

Tribal Community and Disaster Resilience: Bajo Community and Their Coping Strategy to Cyclone in Muna Barat District

Ruslanjari¹,

Dewi²,

Puspitasari³

2019

kawistara

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Muna Barat District is a prone area to natural disasters, such as earthquakes and tidal waves. The cyclone and tidal waves often occur and those two phenomena occur during the transition season (from the dry to the rainy season). This research aims to analyse the vulnerability and capacity related to the readiness of the community of Bajo Tribe to face the cyclone . The method being applied in this research is quantitative descriptive. Furthermore, the village that are selected purposively are those where located on the sea and hit by the cyclone. The sample chosen is the head of family of Bajo Tribe. Vulnerability and capacity are counted with Analytical Hierarchy Process (AHP) weighting in determining the priority scale or the most preferred alternative choice. The result of this research is Tiga, Bero, Tasipi, and Katela Village are categorized as medium vulnerability and Mandike Village has low vulnerability. Tiga, Bero, Tasipi, Mandike, and Katela Village are classified as medium capacity.

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Section: Introductionmentioning

confidence: 99%

Tribal Community and Disaster Resilience: Bajo Community and Their Coping Strategy to Cyclone in Muna Barat District

Ruslanjari¹,

Dewi²,

Puspitasari³

2019

kawistara

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Visualizing the May 22, 2011, Joplin, Missouri, Tornado path using building permits

Stimers

Paul

2022

Nat Hazards

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Population recovery in U.S. communities affected by tornadoes, 2000–2010

Paul,

Stimers,

Mahmood

et al. 2024

Nat Hazards

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We investigated the demographic changes in American communities impacted by tornadoes from 2000 to 2010, exploring the factors in uencing population recovery in tornado-affected communities, considering short-term (within one year) and long-term (2-10 years) outcomes. To identify signi cant contributors to population recovery, we analyzed seven predictor variables using logistic regression models, including tornado strength, community size, population trend, and state status (Sunbelt or Snowbelt). The data encompassed 516 tornado-affected communities across the conterminous United States. Our ndings revealed that about 55.81% of the communities experienced no signi cant population change immediately after the tornado event. However, 44.19% of the communities witnessed a population decline, and only 10.66% fully recovered within 2-10 years. Results indicated community size and trends were pivotal in population recovery. Communities with negative population trends, especially those with fewer than 5,000 residents, faced signi cant challenges in regaining their pretornado population size within 1 year. The data did not show a signi cant difference in population recovery between communities in the Sunbelt and Snowbelt regions. The study highlights the importance of community-level factors in shaping population recovery dynamics following tornado events. Understanding these factors can aid community leaders and disaster managers formulate effective strategies to retain populations and encourage rapid recovery. Although certain limitations exist due to data availability, future researchers could explore additional factors, such as post-tornado policies and socioeconomic variables, to gain comprehensive insights into post-disaster population dynamics. Our research contributes valuable to social science disaster research, helping communities build resilience in the face of tornado hazards.

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Toward Development of the Tornado Impact-Community Vulnerability Index

Cited by 4 publications

References 21 publications

Tribal Community and Disaster Resilience: Bajo Community and Their Coping Strategy to Cyclone in Muna Barat District

Tribal Community and Disaster Resilience: Bajo Community and Their Coping Strategy to Cyclone in Muna Barat District

Visualizing the May 22, 2011, Joplin, Missouri, Tornado path using building permits

Population recovery in U.S. communities affected by tornadoes, 2000–2010

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