Quantitative modeling of residential building disaster recovery and effects of pre- and post-event policies

Wang, Wanting; Lindt, John W. van de

doi:10.1016/j.ijdrr.2021.102259

Cited by 35 publications

(5 citation statements)

References 40 publications

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“…The simulations were based on various assumptions, which will need verification in the future. The generation of synthetic wave data could be improved by employing Weibull distributions, as presented in [11]. The suitability needs to be assessed for increased extremes caused by climate change.…”

Section: Discussionmentioning

confidence: 99%

“…Fewer research results are available that also address post-recovery and fragility. In [11], a quantitative approach is used to evaluate the rapidity of community recovery, and the effects that dynamic policies can have on the recovery. The study focused on residential buildings affected by wind perils and introduced typical delay variables and repair fragility as factors influencing the recovery.…”

Section: Introductionmentioning

confidence: 99%

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Testing Resilience Aspects of Operation Options for Offshore Wind Farms beyond the End-of-Life

2023

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An anticipated challenge for the offshore wind industry is the legally standardized decommissioning of offshore wind infrastructure after the expiration of the respective approval period. To meet the energy and climate targets set by, e.g., the German Federal Government, this challenge must be mastered in the context of sustainability. Potential concepts are (i) the deconstruction of offshore infrastructure without replacement, (ii) the continued operation of the plants, (iii) partially or even completely replacing them with newer, modernized plants (re-powering). Re-powering could also be a combination of existing infrastructures with other innovative technologies, such as hydrogen. In this work, the three concepts are analyzed along with their risks and additional factors, such as feasibility, cost-effectiveness, predictability of technological progress, and, planning security, are discussed. A quantitative risk and resilience analysis is conceptually demonstrated for the specific risk of extreme weather and wave conditions caused by climate change. Synthetic wave height data are generated and the corresponding load changes are applied to example offshore wind farms. The three end-of-life options are compared using resilience indicators that serve as exemplary measures for the energy output, which serves as the key performance indicator

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Testing Resilience Aspects of Operation Options for Offshore Wind Farms beyond the End-of-Life

2023

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“…Alam et al [20]; Nofal et al [21]; and Wang and van de Lindt, [22]). The work from the NIST-funded center mentioned above has created a platform called "IN-CORE" that allows multidisciplinary collaboration to happen (see: Attary et al [23]; Roohi et al [24]; and Wang et al [25]).…”

Section: Literature Reviewmentioning

confidence: 99%

Economic Loss Assessment for Losses Due to Earthquake under an Integrated Building, Lifeline, and Transportation Nexus: A Spatial Computable General Equilibrium Approach for Shelby County, TN

Cutler

Mao

2023

Sustainability

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Earthquakes have caused tremendous losses worldwide. Though unpredictable, comprehensive assessment of their impact on urban areas can facilitate effectiveness in mitigation strategies. This paper builds a spatial general equilibrium (SCGE) model for Shelby County, Tennessee, an area located in the most active seismic zone in the central and eastern U.S. Starting from the building, lifeline and transportation damages, this paper also develops means by which such damages can be integrated into the SCGE model for prompt effect estimation. Using novel approaches to represent substitution and shifting behaviors intra-regionally within the county, the model estimated a total of loss over $8 billion in domestic supply due to a hypothetical earthquake. Compared with the outcomes from the model without these behaviors, the magnitude of the losses is smaller in the model with these behaviors. This implies the resistance, resourcefulness and flexibility from economic resilience, as the level of physical damages do vary intra-regionally. Interestingly, although the percentage of losses in domestic supply varies almost linearly with the percentage loss in physical damage intra-regionally, the losses in employment are relatively evenly distributed. This also emphasizes the importance of the shifting and substitution behaviors which make the model profoundly spatial.

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“…The damaged dwelling units may result in an estimable number of displaced households (e.g., Wang and van de Lindt, 2021; Wang et al, 2021; Wang and van de Lindt, 2022) [33][34][35]. These households may need immediate shelters such as family or friends' houses, rental homes, and public shelters.…”

Section: Household Displacementmentioning

confidence: 99%

Transportation Resilience Modeling and Bridge Reconstruction Planning Based on Time-Evolving Travel Demand during Post-Earthquake Recovery Period

Wu,

Chen

2023

Sustainability

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After major earthquakes, communities may experience time-evolving population in terms of size and distribution, and varying travel demands, along with the displacement and recovery of residents caused by the damage and restoration of dwelling units. Community transportation can be significantly affected if the changes in population size and distribution are considerable. As a result, the post-earthquake infrastructure reconstruction process is essentially like urban replanning to meet the realistic traffic needs of the remaining and recovering residents and further maximize the sustainability of the community. To fill the gap in existing studies that considered the travel demand as fixed during the long-term recovery stage, it is important to investigate the effects of time-evolving travel demand on transportation resilience modeling and bridge reconstruction planning during the post-earthquake recovery period. A new methodology is proposed to analyze such impact by assessing the time-dependent resilience performance of transportation networks during the post-earthquake recovery stage. Traffic efficiency and safety are the two resilience performance indicators used to evaluate the transportation network. Post-earthquake infrastructure restoration planning is conducted using a heuristic algorithm based on the time-dependent resilience performance indicator. A demonstrative case study is carried out at Shelby County, Tennessee.

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Quantitative modeling of residential building disaster recovery and effects of pre- and post-event policies

Cited by 35 publications

References 40 publications

Testing Resilience Aspects of Operation Options for Offshore Wind Farms beyond the End-of-Life

Testing Resilience Aspects of Operation Options for Offshore Wind Farms beyond the End-of-Life

Economic Loss Assessment for Losses Due to Earthquake under an Integrated Building, Lifeline, and Transportation Nexus: A Spatial Computable General Equilibrium Approach for Shelby County, TN

Transportation Resilience Modeling and Bridge Reconstruction Planning Based on Time-Evolving Travel Demand during Post-Earthquake Recovery Period

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