Resettlement preferences from landslide prone areas in Cameroon: Willingness to move, reasons to stay

Baert, Midas; Kervyn, Matthieu; Kagou, Armand Dongmo; Guedjeo, Christian Suh; Vranken, Liesbet; Mertens, Kewan

doi:10.1016/j.landusepol.2019.04.036

Cited by 15 publications

(18 citation statements)

References 48 publications

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“…In that case, it will inevitably result in or intensify the worsening of the ecological environment and geological disasters, thus posing an increased threat to the life and property of residents. Previous studies have found that the intention of peasant households plays an essential role in the spatial reconstruction of rural settlements [12,40,93]. Government-guided rural planning often fails if it does not respect the intention of peasant households and forces them to move [28,94,95].…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies on the driving forces for the spatial reconstruction of rural settlements have mainly concentrated on plain regions; however, there are few that have involved mountainous regions and hills [35][36][37][38]. The most common measurement models that have been used to study the driving forces for the spatial reconstruction of rural settlements are the Probit and Logit models [29,39,40]. Recently, structural equation modeling (SEM) [41] has also been applied to this area.…”

Section: Introductionmentioning

confidence: 99%

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Driving Forces for the Spatial Reconstruction of Rural Settlements in Mountainous Areas Based on Structural Equation Models: A Case Study in Western China

Zhong

Huang

et al. 2021

Land

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Rural settlement development in mountainous areas is the key to eliminating global hunger and poverty. The spatial reconstruction of rural settlements in mountainous areas can promote rural development in mountainous areas. In this study, the Panxi area—a typical mountainous area in China—was chosen as the study area. The driving forces for the spatial reconstruction of rural settlements in mountainous areas were explored from the perspective of peasant households by combining participatory rural appraisal (PRA) with structural equation modeling (SEM). Results showed that: (1) 62.03% of the 266 peasant households included were willing to have spatial reconstruction, indicating that most peasant households in mountainous areas have a very strong intention towards the spatial reconstruction of rural settlements. (2) Infrastructure, medical conditions, living environment, farming culture, and dietary habits significantly influenced the reconstruction intention of peasant households. In contrast, development opportunities, place attachment, language, and living mode each had a slight influence. (3) Geological disasters were the main driving force for the spatial reconstruction of rural settlements in mountainous areas, whilst the driving force of living cohesion was the smallest. This study provides insights for future planning and construction of rural settlements in the Panxi area and spatial reconstruction practices. It has important practical significance for overcoming poverty and realizing rural revitalization in mountainous areas.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Driving Forces for the Spatial Reconstruction of Rural Settlements in Mountainous Areas Based on Structural Equation Models: A Case Study in Western China

Zhong

Huang

et al. 2021

Land

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“…House owners prefer thorough retrofitting, compared to apartment renters, who prefer low-cost, temporary retrofitting (Gupta and Gregg, 2012). This heterogeneity depends on the targeted socio-economic groups and their preferences, access to roads, the use of social networks or trust in governments (Baert et al, 2019). Moreover, piecemeal approaches fail in LRR.…”

Section: Community Willingness To Invest In Lrrmentioning

confidence: 99%

Land policies for landslide risk reduction in Andean cities

Puente-Sotomayor

Egas

Teller

2021

Habitat International

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Land policies for landslide risk reduction in Andean cities Highlights• The landslide susceptibility of the Andes demands more risk reduction research to be conducted.• Landslide risk reduction practices have been proven successful by articulating bottom-up approaches.• Risk reduction networks across formal structures are more effective than cliché policies and grouped actors.• Understanding Andean informality may lead to strategic landslide risk reduction and climatic adaptation.

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“…When Vlaeminck study the willingness to re-settle from landslide prone areas in Uganda, they find that people living in high risk areas (on steep slopes or in villages that have already been affected by landslides) are more willing to re-settle than people living in low-risk areas (Vlaeminck et al, 2016). It has also been found that wealthier households are more willing to re-settle than poorer households and that institutional factors such as trust in institutions are important for the willingness to re-settle in Cameroon (Baert et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Valuing the Impacts of Landslides: A Choice Experiment Approach

Spegel

2021

EconDisCliCha

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This paper analyzes the preferences for reducing the negative impacts of landslides. Negative consequences of landslides include impacts on transport infrastructure, humans, the environment and important societal services. We apply a choice experiment. The analysis is based on 6048 observations from 504 participants in a web panel. The overall finding is that reducing the risk of landslides would have a positive impact on individuals’ utility, and that individuals prioritize preventing negative consequences on human health and safety over maintaining societal services, environmental status, and preventing damages to transport infrastructure, which seems to be least pressing. Results indicate that prioritizations of citizens differ from the prioritizations of public authorities, whose risk assessment model for evaluating the consequences of landslides gives equal weight to the different impacts.

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Resettlement preferences from landslide prone areas in Cameroon: Willingness to move, reasons to stay

Cited by 15 publications

References 48 publications

Driving Forces for the Spatial Reconstruction of Rural Settlements in Mountainous Areas Based on Structural Equation Models: A Case Study in Western China

Driving Forces for the Spatial Reconstruction of Rural Settlements in Mountainous Areas Based on Structural Equation Models: A Case Study in Western China

Land policies for landslide risk reduction in Andean cities

Valuing the Impacts of Landslides: A Choice Experiment Approach

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