The Social Vulnerability Index: A Literature Review

Pascale, Francesco De

doi:10.1007/978-3-031-24541-1_22

Cited by 1 publication

(1 citation statement)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The development of a GIS-based approach has permitted the identification of critical regions that are highly vulnerable, but also their spatial patterns by clustering social vulnerability, for example, using spatial autocorrelation techniques [24]. In summary, the results from the available literature show that the SoVI methodology, accompanied by mapping the results, is an effective tool for disaster risk reduction [25].…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Changes in Social Vulnerability to Natural Hazards in Mexico

León-Cruz,

Romero,

Rodríguez-García

2024

IJGI

View full text Add to dashboard Cite

The spatial and temporal changes in social vulnerability to natural hazards in Mexico are analyzed. To this end, using census data from 2000, 2010, and 2020, and a statistical method, different indices were computed, and with a GIS-based approach, patterns of social vulnerability are examined. In addition, a risk assessment test for severe weather (thunderstorms, hailstorms, and tornadoes) is made out. The results show different common social vulnerability driving factors in the 3 analyzed years, with root causes that have not been addressed since the beginning of the century. Likewise, a wider gap between Mexico’s most and least vulnerable populations is identified. The changes in spatial patterns respond to different historical situations, such as migration, urbanization, and increased population. Also, poverty, ethnicity, and marginalization factors located in very particular regions in Mexico have remained relatively the same in the last 20 twenty years. These situations have strongly influenced the spatial–temporal distribution of vulnerability in the country. The role of social vulnerability in the disaster risk to extreme events such as thunderstorms, hailstorms, and tornadoes in Mexico is fundamental to understanding changes in disaster distribution at the national level, and it is the first step to generating improvements in integrated risk management.

show abstract

Section: Introductionmentioning

confidence: 99%