Assessment of social vulnerability in areas exposed to multiple hazards: A case study of the Khuzestan Province, Iran

Hejazi, Seyed Jafar; Sharifi, Ayyoob; Arvin, Mahmoud

doi:10.1016/j.ijdrr.2022.103127

Cited by 20 publications

(9 citation statements)

References 102 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…COVID-19 first spread among groups with a higher economic and social status in the case of Iran, especially in Khuzestan Province. Thus, the neighborhoods and urban areas with higher economic and social status reported a higher number of COVID-19 patients [ 115 , 116 ]. Previous studies have also reported a higher rate of Covid-19 among people with middle and high income in richer countries with higher interpersonal interactionsat work and more frequent trips inside and outside the country [ 117 , 118 ].…”

Section: Discussionmentioning

confidence: 99%

A county-level analysis of association between social vulnerability and COVID-19 cases in Khuzestan Province, Iran

Arvin

Bazrafkan

Beiki

et al. 2023

International Journal of Disaster Risk Reduction

Self Cite

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

A county-level analysis of association between social vulnerability and COVID-19 cases in Khuzestan Province, Iran

Arvin

Bazrafkan

Beiki

et al. 2023

International Journal of Disaster Risk Reduction

Self Cite

View full text Add to dashboard Cite

“…There is a negative correlation between adaptability and vulnerability; the greater the adaptability, the smaller the vulnerability. Current research on vulnerability is mainly related to ecological [15][16][17][18], water-resource [19][20][21], social [22][23][24], socio-ecological [25], socio-economic [26,27], climate [28][29][30], urban [31][32][33], rural [14,34], drought [2,35,36], human health [37], agricultural [38][39][40], and urban heat vulnerability [41]. Some of these studies have paid attention to the inherent vulnerability of natural or social systems [42], while others have gradually involved the vital role of people in the formation and reduction of vulnerability [43].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variation of Rural Vulnerability and Its Clustering Model in Guizhou Province

Zhou

Yang

2023

Land

View full text Add to dashboard Cite

The vulnerability of China’s rural system is becoming increasingly obvious due to the multiple pressures of geological conditions and human interference. This study selected Guizhou Province to measure the degree of vulnerability and determine a rural system’s temporal and spatial characteristics. We select the county as the unit, build the vulnerability assessment of a rural system based on the three dimensions of exposure, sensitivity, and adaptability, and employ the combination weighting method. The final development indicator of the rural vulnerability measurement model was obtained using the Technique for Order Preference by Similarity to the Ideal Solution method. Further, SatScan v10.1 software was used for spatiotemporal scanning statistical analysis, and its clustering pattern was analyzed. Finally, visual analysis was conducted using ArcGIS 10.7 software. The results showed that exposure and sensitivity have an increasing fluctuation trend, while adaptability has a decreasing trend. The combined effect resulted in an increasing trend of vulnerability. The mean values of exposure, sensitivity, adaptation, and rural vulnerability in Yunyan are 0.906, 0.894, 0.772, and 1.028 higher than those in Nanming, i.e., 0.417, 0.426, 0.687, and 0.262, respectively. The vulnerability of the rural system shows a spatial pattern of “low in the middle and high on both sides,” with spatial clustering, and Guiyang and Zunyi are the cluster centers.

show abstract

“…El riesgo es una función del peligro por la vulnerabilidad (Aversa et al, 2020). El peligro o amenaza es un evento natural extremo difícil de predecir y controlar con diferentes intensidades y grados de severidad, el cual es considerado como un agente externo del riesgo; en cambio la vulnerabilidad Revista de Investigaciones Altoandinas -Journal of High Andean Research 25(3), 179-189, julio -setiembre 2023 de un sistema social es un agente interno definiéndose como su predisposición a ser afectado adversamente, incluyendo su incapacidad para adaptarse y recuperarse (IPCC, 2014;Sharma & Ravindranath, 2019;Hejazi et al, 2022); sin embargo, no se llega a un consenso en su definición por ser multidisciplinaria. De acuerdo a Mileti (1999), desde el enfoque riesgo amenaza se entiende a la vulnerabilidad como la mezcla de factores sociales, económicos y biofísicos.…”

Section: Introductionunclassified

Regiones Altoandinas y su vulnerabilidad socioeconómica: caso zona urbana de Puno

Zevallos

2023

Rev. Investig. Altoandin.

View full text Add to dashboard Cite

En los últimos tiempos se han incrementado los riesgos de desastres causados por eventos naturales a consecuencia del cambio climático. La magnitud de un desastre a consecuencia del impacto de un peligro natural sobre un sistema humano depende no solo del tipo e intensidad del peligro, depende también de las condiciones socioeconómicas de la comunidad. El objetivo de esta investigación fue determinar el nivel de vulnerabilidad socioeconómica a los desastres naturales en la zona urbana de la ciudad de Puno, región altoandina del sur del Perú. Esto se logró mediante el uso de la técnica del Proceso Analítico Jerárquico (AHP) en combinación con los sistemas de información geográfica (SIG). Se realizó un cuestionario semiestructurado a una muestra aleatoria de 256 personas. Se recopiló datos de vulnerabilidad a cinco tipos distintos de peligros a los cuales está expuesto la población: inundaciones, erosión, caída de rocas, deslizamientos y suelos inestables. Se trabajó con catorce indicadores en las dimensiones de exposición, fragilidad y resiliencia. Como resultado se obtiene un mapa de vulnerabilidad socioeconómica, mostrando niveles de vulnerabilidad correspondiente a una alta y muy alta vulnerabilidad de las zonas periféricas de la zona de estudio. Los hallazgos de esta investigación serán útiles para que los encargados de la formulación de políticas en gestión de riesgo de desastres tomen decisiones informadas para reducir la vulnerabilidad e incrementar de la resiliencia de la población altoandina de Puno.

show abstract

Assessment of social vulnerability in areas exposed to multiple hazards: A case study of the Khuzestan Province, Iran

Cited by 20 publications

References 102 publications

A county-level analysis of association between social vulnerability and COVID-19 cases in Khuzestan Province, Iran

A county-level analysis of association between social vulnerability and COVID-19 cases in Khuzestan Province, Iran

Spatiotemporal Variation of Rural Vulnerability and Its Clustering Model in Guizhou Province

Regiones Altoandinas y su vulnerabilidad socioeconómica: caso zona urbana de Puno

Contact Info

Product

Resources

About