Effects of urban development on future multi-hazard risk: the case of Vancouver, Canada

Chang, Stephanie E.; Yip, Jackie Z.K.; Tse, Wendy

doi:10.1007/s11069-018-3510-x

Cited by 20 publications

(18 citation statements)

References 20 publications

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“…Houston has more exposure potential because of its large spatial extent, but each individual tract will have less. While more compact developments will result in similar exposures to most hazards, the expected vulnerability and impacts are lower (Chang et al 2019). Between Houston and Chicago, the larger exposure is likely due to the hazard types present in addition to the number of hazard types.…”

Section: Resultsmentioning

confidence: 99%

Application of a multi-hazard risk assessment for local planning

Buck

Summers

2020

Geomatics, Natural Hazards and Risk

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Multi-hazard assessments are increasingly vital to communities as exposures continue to change. Their data can provide a nuanced understanding of hazard interactions and their contribution to risk reduction. In previous work, the Patterns of Risk using an Integrated Spatial Multi-Hazard (PRISM) approach produces composite measures of vulnerability and risk at the county level for this purpose. The approach has the flexibility to be applied at a local level to benefit hazard vulnerability assessments and community sustainability planning activities. In this article, we use U.S. census tracts as proxy for neighbourhoods for a localized PRISM approach. The goal is to demonstrate the applicability of the PRISM approach at the community level and identify vulnerabilities in social, cultural, economic, and built systems for use in comparative analyses and mitigation planning. Exposure estimates are created using spatial extents and modelled data from 12 natural and 4 technological hazards. Land area, population counts, and property values are used to estimate vulnerability. National patterns of exposure, vulnerability, and risk reveal distinct regional trends that point to the importance of how impacts are defined. Eight case study examples demonstrate how the data can be analyzed to compare drivers of community vulnerability and risk.

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Section: Resultsmentioning

confidence: 99%

Application of a multi-hazard risk assessment for local planning

Buck

Summers

2020

Geomatics, Natural Hazards and Risk

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“…Future exposure and future multihazard risk (Chang et al, 2018) Accounting for changing exposure and future multirisk.…”

Section: Temporal Dynamicsmentioning

confidence: 99%

“…Statistical hazard interactions (Selva, 2013) Statistical assessment of hazard interactions on risk Statistical weather-driven hazard interactions (Hillier et al, 2015) Statistical assessment of weather-driven hazard interactions and their monetary damages. Exposure Future exposure and future multihazard risk (Chang et al, 2018) Accounting for changing exposure and future multirisk.…”

Section: Temporal Dynamicsmentioning

confidence: 99%

Why We Can No Longer Ignore Consecutive Disasters

Ruiter

Couasnon

Homberg³

et al. 2020

Earth's Future

204

147

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In recent decades, a striking number of countries have suffered from consecutive disasters: events whose impacts overlap both spatially and temporally, while recovery is still under way. The risk of consecutive disasters will increase due to growing exposure, the interconnectedness of human society, and the increased frequency and intensity of nontectonic hazard. This paper provides an overview of the different types of consecutive disasters, their causes, and impacts. The impacts can be distinctly different from disasters occurring in isolation (both spatially and temporally) from other disasters, noting that full isolation never occurs. We use existing empirical disaster databases to show the global probabilistic occurrence for selected hazard types. Current state‐of‐the art risk assessment models and their outputs do not allow for a thorough representation and analysis of consecutive disasters. This is mainly due to the many challenges that are introduced by addressing and combining hazards of different nature, and accounting for their interactions and dynamics. Disaster risk management needs to be more holistic and codesigned between researchers, policy makers, first responders, and companies.

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“…Assessing multiple hazards in urban areas and predicting future risks can help decision-makers to prioritize actions and manage the risks [32,[39][40][41]. Although the effects of natural risks on the urban area were examined individually and the results were compared visually, a quantitative approach of the co-evaluation process of hazards was lacking in Chang et al [39] and Jacobs et al [42]. A combined and quantitative assessment of hazards provides more accurate results than individual assessments and visual comparison.…”

Section: Background On Multi-hazard Assessmentmentioning

confidence: 99%

Use of Mamdani Fuzzy Algorithm for Multi-Hazard Susceptibility Assessment in a Developing Urban Settlement (Mamak, Ankara, Turkey)

Yanar

Kocaman

Gökçeoğlu

2020

IJGI

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Urban areas may be affected by multiple hazards, and integrated hazard susceptibility maps are needed for suitable site selection and planning. Furthermore, geological–geotechnical parameters, construction costs, and the spatial distribution of existing infrastructure should be taken into account for this purpose. Up-to-date land-use and land-cover (LULC) maps, as well as natural hazard susceptibility maps, can be frequently obtained from high-resolution satellite sensors. In this study, an integrated hazard susceptibility assessment was performed for a developing urban settlement (Mamak District of Ankara City, Turkey) considering landslide and flood potential. The flood susceptibility map of Ankara City was produced in a previous study using modified analytical hierarchical process (M-AHP) approach. The landslide susceptibility map was produced using the logistic regression technique in this study. Sentinel-2 images were employed for generating LULC data with the random forest classification method. Topographical derivatives obtained from a high-resolution digital elevation model and lithological parameters were employed for the production of landslide susceptibility maps. For the integrated hazard susceptibility assessment, the Mamdani fuzzy algorithm was considered, and the results are discussed in the present study. The results demonstrate that multi-hazard susceptibility assessment maps for urban planning can be obtained by combining a set of expert-based and ensemble learning methods.

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Effects of urban development on future multi-hazard risk: the case of Vancouver, Canada

Cited by 20 publications

References 20 publications

Application of a multi-hazard risk assessment for local planning

Application of a multi-hazard risk assessment for local planning

Why We Can No Longer Ignore Consecutive Disasters

Use of Mamdani Fuzzy Algorithm for Multi-Hazard Susceptibility Assessment in a Developing Urban Settlement (Mamak, Ankara, Turkey)

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