Social vulnerability assessment of landslide disaster based on improved TOPSIS method: Case study of eleven small towns in China DOI Creative Commons
Yi Xiao, Xiao Tang, Yuan Li

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 143, P. 109316 - 109316

Published: Aug. 22, 2022

There are few studies on the social vulnerability of small towns in landslide disaster areas. The occurrence geological disasters will directly threaten local socioeconomic growth, it is particularly important to identify vulnerable areas and populations by using index system. Eleven after Wenchuan earthquake were taken as examples, based 863 questionnaires statistical data, this study established a new comprehensive evaluation system areas, conducted quantitative improved TOPSIS (Technique for Order Preference Similarity an Ideal Solution) model, was adopted compare, classify rank levels townships. empirical results indicate that showed characteristics regional heterogeneity, most high or medium level vulnerability. Only Yingxiu low vulnerability, Shuimo presented highest score eleven towns, inter-group difference between these two 0.286. Risk perception factor affecting involving awareness, cognitive approach, community publicity. Additionally, structure another key scores top three with including prevention facilities, residents' income, infrastructure accessibility. can evaluate scientifically be used urban management development

Language: Английский

Federally-overlooked flood risk inequities in the conterminous United States DOI Creative Commons
Aaron B. Flores, Timothy W. Collins, Sara E. Grineski

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 28, 2025

Climate change is exacerbating flood risks globally. In the U.S., Federal Emergency Management Agency (FEMA) Flood Insurance Rate Maps (FIRMs) delineate areas at high risk (i.e., 100-year floodplains), however, FIRMs are incomplete and outdated. We utilize estimates from advanced modeling sociodemographic data census tract level to examine inequities in federally-overlooked flooding across conterminous United States (CONUS). Using multivariable statistics that account for clustering non-normality, we analyze by type (coastal, pluvial, fluvial) along urban-rural continuum. Results indicate 26 million CONUS residents live floodplains. Lower income associated with elevated of all types find inconsistent relationships neighborhood racial/ethnic composition, yet increased Black composition greater pluvial metropolitan areas, where 47% population resides. suburban rural contexts, higher Hispanic/Latinx fluvial flooding. The large scale have major public policy, planning environmental justice implications demand resilience interventions.

Language: Английский

Citations

1

Boundary crossing for urban community resilience: A social vulnerability and multi-hazard approach in Austin, Texas, USA DOI
R. Patrick Bixler, Euijin Yang, S. Richter

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2021, Volume and Issue: 66, P. 102613 - 102613

Published: Sept. 30, 2021

Language: Английский

Citations

44

Flood Recovery Outcomes and Disaster Assistance Barriers for Vulnerable Populations DOI Creative Commons
Bradley Wilson, Eric Tate, Christopher T. Emrich

et al.

Frontiers in Water, Journal Year: 2021, Volume and Issue: 3

Published: Dec. 7, 2021

Disaster recovery spending for major flood events in the United States is at an all-time high. Yet research examining equity disaster assistance increasingly shows that funding underserves vulnerable populations. Based on a review of academic and grey literature, this article synthesizes empirical knowledge population disparities access to outcomes during recovery. The results identify renters, low-income households, racial ethnic minorities as populations most face barriers accessing federal experience adverse outcomes. analysis explores drivers these inequities concludes with focus performance programs addressing unmet needs, recognition intersectional social vulnerabilities analysis, gaps data availability transparency.

Language: Английский

Citations

41

Spatiotemporal dynamics of global population and heat exposure (2020–2100): based on improved SSP-consistent population projections DOI Creative Commons
Mengya Li,

Bing-Bing Zhou,

Minyi Gao

et al.

Environmental Research Letters, Journal Year: 2022, Volume and Issue: 17(9), P. 094007 - 094007

Published: Aug. 5, 2022

Abstract To address future environmental change and consequent social vulnerability, a better understanding of population (FPOP) dynamics is critical. In this regard, notable progress has been made in producing FPOP projections that are consistent with the Shared Socioeconomic Pathways (SSPs) at low resolutions for globe high specific regions. Building on existing endeavors, here we contribute new set 1 km SSP-consistent global (FPOP short dataset) under machine learning framework. Our approach incorporates recently available built-up land dataset Coupled Model Intercomparison Project 6, aim to misestimation underlying datasets projections. We show overall accuracy our outperforms five multiple scales especially densely-populated areas (e.g. cities towns). Followingly, FPOP-based assessments suggest similar trend by density spatial Matthew effect regional centralization. Furthermore, estimates heat exposure around 300 billion person-days 2020 four SSP-Representative Concentration Pathway (RCPs), which 2100 could increase as 516 SSP5-RCP4.5 1626 SSP3-RCP8.5—with Asia Africa contributing 64%–68% 21%–25%, respectively. While results shed lights proactive policy interventions addressing hazard, will enable future-oriented wide range hazards, e.g. hurricanes, droughts, flooding.

Language: Английский

Citations

33

Social vulnerability assessment of landslide disaster based on improved TOPSIS method: Case study of eleven small towns in China DOI Creative Commons
Yi Xiao, Xiao Tang, Yuan Li

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 143, P. 109316 - 109316

Published: Aug. 22, 2022

There are few studies on the social vulnerability of small towns in landslide disaster areas. The occurrence geological disasters will directly threaten local socioeconomic growth, it is particularly important to identify vulnerable areas and populations by using index system. Eleven after Wenchuan earthquake were taken as examples, based 863 questionnaires statistical data, this study established a new comprehensive evaluation system areas, conducted quantitative improved TOPSIS (Technique for Order Preference Similarity an Ideal Solution) model, was adopted compare, classify rank levels townships. empirical results indicate that showed characteristics regional heterogeneity, most high or medium level vulnerability. Only Yingxiu low vulnerability, Shuimo presented highest score eleven towns, inter-group difference between these two 0.286. Risk perception factor affecting involving awareness, cognitive approach, community publicity. Additionally, structure another key scores top three with including prevention facilities, residents' income, infrastructure accessibility. can evaluate scientifically be used urban management development

Language: Английский

Citations

31