Social vulnerability assessment of landslide disaster based on improved TOPSIS method: Case study of eleven small towns in China

Xiao, Yi; Tang, Xiao; Li, Yuan; Huang, Huagang; An, Bo-Wen

doi:10.1016/j.ecolind.2022.109316

Cited by 25 publications

(12 citation statements)

References 84 publications

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“…Strategies and policies are needed in integrated environmental planning and management to reduce the decline in social and economic benefits due to environmental degradation. Some of these things include: a) strengthening strategies for the use of natural resources that are effective and efficient; b) increasing community participation in environmental management [26]; c) increasing public awareness to care for the environment [55]; d) establishing inter-regional cooperation [10]; e) increasing community innovation [25]; f) strengthening environmental management institutions and implementing an integrated watershed approach for flood management [53]; g) maintaining the presence of woody vegetation and grasslands as well as disaster early warning [27]; h) provide incentives to communities and community groups concerned with the environment [58].…”

Section: Discussionmentioning

confidence: 99%

“…Mapping disaster-prone areas will assist local governments in reducing environmental degradation by making policies and strategies [24]. Among the strategies and policies that we can be implemented are establishing cooperation with areas around disaster-prone areas [10], increasing community innovation in reducing environmental degradation [25], strengthening natural resource management strategies, increasing literacy communities, and increasing community involvement [26], maintaining the presence of woody vegetation and grasslands [27].…”

Section: Introductionmentioning

confidence: 99%

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Spatiotemporal Distribution Pattern and Spatial Clustering of Landslide-and Flood-Prone Areas in Metropolitan Palapa, Indonesia

Amelia¹,

Guswandi²

2023

IJSDP

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The rapid development of urban areas is one of the driving factors for hazard exposure which causes vulnerability and environmental degradation. Environmental degradation causes vulnerability to disasters which will have implications for a decrease in economic benefits and an increase in community poverty. Landslides and floods are frequent natural disasters that cause environmental degradation. To reduce the risk of landslides and floods and formulate development policies and strategies in disaster-prone areas is necessary to identify landslides and flood areas. This study aims to identify and detect areas prone to landslides and floods in Metropolitan Palapa using GIS analysis and Moran's Local Index based on LISA statistics. The analysis results show that the northern to northeastern areas of Metropolitan Palapa (Pariaman regency and Pariaman municipal) are areas with high vulnerability to landslides, with high positive spatial associations of landslide occurrence and intensity. The area has an altitude between 350 to >1100 above sea level and a slope between 15 to >45%. Meanwhile, Padang and Pariaman municipal are areas that are vulnerable to flood hazards, and this is because these areas are lowlands/coastal areas. We can implement strategies and policies for the Palapa Metropolitan area, including a) limiting development in the northern region, b) applying engineering to areas prone to landslides by applying cut and fill techniques, c) improvement of drainage systems in areas prone to flooding; d) increase public awareness to care and provide incentives to people who care about the environment. Appropriate strategies and policies will reduce environmental degradation. We required disaster-based development planning to reduce environmental degradation, but the data is often an obstacle.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Distribution Pattern and Spatial Clustering of Landslide-and Flood-Prone Areas in Metropolitan Palapa, Indonesia

Amelia¹,

Guswandi²

2023

IJSDP

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“…However, there are some problems with applying this method to comprehensive evaluation [69]. Relying on information entropy can reduce decision errors and improve decision accuracy, and the entropy-weighted method is to determine the weights by the entropy value in each index and reduce the subjective bias brought by human assignment [70]. Therefore, in this study, we choose to improve the TOPSIS method by adding the entropy-weighted method, which calculates the weights of evaluation indicators and introduces the weights into the calculation process of the TOPSIS method, which can eliminate the evaluation errors caused by subjective factors and can improve the accuracy of evaluation results.…”

Section: Measurement Methods Of Lue-entropy-weighted Topsis Methodsmentioning

confidence: 99%

Spatiotemporal Evolution of Land Use Efficiency in Southwest Mountain Area of China: A Case Study of Yunnan Province

Wang

Liu

2023

Agriculture

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The study of land use efficiency (LUE) evaluation and coupled coordination (CC) relationships under the perspective of urbanization can reasonably allocate land resources and contribute to the solution for agriculture, rural areas, and farmers. The LUE evaluation index system is constructed in three aspects: economy, society, and ecology. Then the LUE and CC degrees of Yunnan Province from 2010 to 2020 are measured, and the characteristics of LUE and the relationship of CC in each administrative region at each level are analyzed in space. Besides, the overall LUE and CC relationship in Yunnan Province is described. The study concludes that (1) The urbanization process in Yunnan Province is accelerating, unused land is decreasing, and construction land is increasing. (2) During the study period, the LUE of Kunming was much higher than that of other regions. The economic efficiency of the inner circle cities centered on Kunming is higher, while the economic efficiency of the outer circle cities is lower; social efficiency is increasing year by year except for Nujiang and Diqing, showing a higher pattern in the east than in the west; ecological efficiency is not increasing year by year except for Kunming, Qujing, and Lijiang, showing a higher pattern in the east than in the west; comprehensive efficiency is on the rise, with Kunming and Qujing leading the way with the overall pattern of “east > central > west.” The high-value area is relatively stable, and the low-value area has a clear tendency to shift eastward. (3) The coupling level of economic, social, and ecological efficiency of land use in administrative regions of Yunnan Province is low, but the coupling relationship is gradually optimized, showing the “contiguous effect” and realizing the state of extreme disorder to severe disorder in a large area. (4) The overall CC of three subsystems in Yunnan Province shows a fluctuating upward trend; the comprehensive efficiency index has an upward trend except for a slight decrease in 2017–2018; from 2010 to 2019, ecological and social efficiency is better than economic efficiency.

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“…Proportion of each index for each attribute was calculated using Eq. ( 4 ) 72 . here is known as proportion index whose value in case of zero is replaced by the 0.0001 value to maintain validity for natural log calculation.…”

Section: Vulnerability Assessmentmentioning

confidence: 99%

Enhancing co-seismic landslide susceptibility, building exposure, and risk analysis through machine learning

Pyakurel,

K.C.,

Dahal

2024

Sci Rep

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Landslides are devastating natural disasters that generally occur on fragile slopes. Landslides are influenced by many factors, such as geology, topography, natural drainage, land cover, rainfall and earthquakes, although the underlying mechanism is too complex and very difficult to explain in detail. In this study, the susceptibility mapping of co-seismic landslides is carried out using a machine learning approach, considering six districts covering an area of 12,887 km2 in Nepal. Landslide inventory map is prepared by taking 23,164 post seismic landslide data points that occurred after the 7.8 MW 2015 Gorkha earthquake. Twelve causative factors, including distance from the rupture plane, peak ground acceleration and distance from the fault, are considered input parameters. The overall accuracy of the model is 87.2%, the area under the ROC curve is 0.94, the Kappa coefficient is 0.744 and the RMSE value is 0.358, which indicates that the performance of the model is excellent with the causative factors considered. The susceptibility thus developed shows that Sindhupalchowk district has the largest percentage of area under high and very high susceptibility classes, and the most susceptible local unit in Sindhupalchowk is the Barhabise municipality, with 19.98% and 20.34% of its area under high and very high susceptibility classes, respectively. For the analysis of building exposure to co-seismic landslide susceptibility, a building footprint map is developed and overlaid on the co-seismic landslide susceptibility map. The results show that the Sindhupalchowk and Dhading districts have the largest and smallest number of houses exposed to co-seismic landslide susceptibility. Additionally, when conducting a risk analysis based on susceptibility mapping, as well as considering socio-economic and structural vulnerability in Barhabise municipality, revealed that only 106 (1.1%) of the total 9591 households, were found to be at high risk. As this is the first study of co-seismic landslide risk study carried out in Nepal and covers a regional to the municipal level, this can be a reference for future studies in Nepal and other parts of the world and can be helpful in planning development activities for government bodies.

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Social vulnerability assessment of landslide disaster based on improved TOPSIS method: Case study of eleven small towns in China

Cited by 25 publications

References 84 publications

Spatiotemporal Distribution Pattern and Spatial Clustering of Landslide-and Flood-Prone Areas in Metropolitan Palapa, Indonesia

Spatiotemporal Distribution Pattern and Spatial Clustering of Landslide-and Flood-Prone Areas in Metropolitan Palapa, Indonesia

Spatiotemporal Evolution of Land Use Efficiency in Southwest Mountain Area of China: A Case Study of Yunnan Province

Enhancing co-seismic landslide susceptibility, building exposure, and risk analysis through machine learning

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