A GIS-based approach for assessing social vulnerability to flood and debris flow hazards

Sung, Chien Hao; Liaw, Shyue Cherng

doi:10.1016/j.ijdrr.2020.101531

Cited by 21 publications

(12 citation statements)

References 33 publications

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“…Regions with high economic factors are mainly located in several small but economically developed districts and counties, and the distribution shows a negative spatial correlation according to the Moran index, but a p-value > 0.05 indicates that the negative correlation is not significant. The strong resilience region is located in the central plains region, which is consistent with the study that concluded that the plains region has stronger resilience than the mountains [56].…”

Section: Debris Flow Vulnerability Assessment In the Tsmssupporting

confidence: 91%

Risk Assessment and Analysis of Its Influencing Factors of Debris Flows in Typical Arid Mountain Environment: A Case Study of Central Tien Shan Mountains, China

Li,

Wu,

Chen

et al. 2023

Remote Sensing

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The Tien Shan Mountain range connects Central Asia with northwestern China and is a crucial transport junction between East and West Asia. It is a common location for regional debris flows, which pose a significant risk to ecological security and the safety of people and property. Nevertheless, limited knowledge exists about the distribution of disaster risks and the impacted populations. This study uses advanced machine learning techniques to identify the key natural and social factors influencing these hazards and incorporates the Social Vulnerability Index (SoVI) to assess societal vulnerability. The outcomes demonstrate that (1) the debris flow hazard in the Tien Shan Mountain area is primarily governed by the geological structure, which dictates the material source and, in turn, dictates the onset of debris flows. (2) The vulnerability demonstrates a high spatial tendency in the north and a low one in the south, with evident spatial clustering characteristics. (3) A total of 19.13% of the study area is classified as high-hazard, with specific distribution zones including the northern foothills of the Tien Shan Mountains, the low-mountain zones of the southern foothills of the Tien Shan Mountains, and the Yili Valley zone. This holistic approach offers valuable insights into the spatial distribution of risks, aiding in prioritizing disaster preparedness and mitigation efforts. Also, our findings and conclusions are beneficial for local decision makers to allocate resources effectively and promote sustainable development practices in the region.

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Section: Debris Flow Vulnerability Assessment In the Tsmssupporting

confidence: 91%

Risk Assessment and Analysis of Its Influencing Factors of Debris Flows in Typical Arid Mountain Environment: A Case Study of Central Tien Shan Mountains, China

Li,

Wu,

Chen

et al. 2023

Remote Sensing

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“…In addition, a verification procedure using standardized residual analysis was performed to confirm that the observed values were larger than the predicted values estimated from the regression model. (29) When the GWR local coefficient in the coldspot districts was presented as a value higher than the average of the study area, the spatial concentration of older adult classes showed a strong correlation with the population density. Consequently, the supply of welfare services for older adults in this administrative district was not spatially related to the demand, indicating an imbalance in the services for older adults.…”

Section: Methodsmentioning

confidence: 84%

Spatial Weighting to Explore Priority Districts for Older Adult Classes in Age-friendly Smart City

Um¹

2022

Sensors and Materials

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We explored priority districts for older adult classes using a spatial weighting technique in an age-friendly smart city initiated by the World Health Organization (WHO) and the Korean government. In the past, the target districts for establishing older adult classes for people aged 60 years and above in South Korea were determined on the basis of the experience or intuition of business operators or the empirical knowledge of a few experts. A hotspot map provides a basis for the public to evaluate the area-wide distribution of older adult classes. Exploring priority districts based on geographically weighted regression (GWR) could offer objective and quantitative evidence for the location feasibility of older adult classes rather than the existing text-based data. The priority ranking presented by each administrative district plays a crucial role in arranging older adult classes in consideration of the unique characteristics of an agefriendly smart city, such as the central business district or outskirts of a metropolitan city. Although South Korea has been selected as a case study for this paper, exploring priority districts for older adult classes utilizing a spatial weighting technique is relevant to other countries attempting to introduce wearable healthcare devices connected to a body sensor network (BSN) for people aged 60 years and above in age-friendly smart cities.

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“…We found that areas with larger households on average were associated with lower vulnerability, a finding potentially explained by the presence of stronger social networks, which can increase a household's ability to face and recover from a disaster (Grainger et al, 2021;Tierney, 2006). In addition, in rural areas, one-person households could involve the elderly living alone, who are considered physically and socially vulnerable to wildfires because they face health and economic issues and assistance needs (Hung et al, 2016;Sung & Liaw, 2020). The vulnerability score also accounts for population abandonment in Galicia, a measured by the percentage of unoccupied housing units (Brouard-Sala et al, 2018), which is associated with social vulnerability to wildfires because absentee property owners are less willing to implement prevention and mitigation measures (Oliveira et al, 2020;Paveglio et al, 2009).…”

Section: Discussionmentioning

confidence: 99%

Spatial patterns of social vulnerability in relation to wildfire risk and wildland-urban interface presence

Amil

Nogueira-Moure

Prestemon

et al. 2022

Landscape and Urban Planning

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A GIS-based approach for assessing social vulnerability to flood and debris flow hazards

Cited by 21 publications

References 33 publications

Risk Assessment and Analysis of Its Influencing Factors of Debris Flows in Typical Arid Mountain Environment: A Case Study of Central Tien Shan Mountains, China

Risk Assessment and Analysis of Its Influencing Factors of Debris Flows in Typical Arid Mountain Environment: A Case Study of Central Tien Shan Mountains, China

Spatial Weighting to Explore Priority Districts for Older Adult Classes in Age-friendly Smart City

Spatial patterns of social vulnerability in relation to wildfire risk and wildland-urban interface presence

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