The built environment resilience qualities to climate change impact: Concepts, frameworks, and directions for future research

Al-Humaiqani, Mohammed M.; Al-Ghamdi, Sami G.

doi:10.1016/j.scs.2022.103797

Cited by 65 publications

(32 citation statements)

References 80 publications

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“…According to the results of the simulation-based method in Table (5), in static planning and considering the resilience index (with RI), EDNS is equal to the stochastic method's result but with a significantly lower investment cost of 3543.78 k$. This result is because of the justification of reinforced lines shown in Table (6). This comparison shows that the proposed method will lead to more resilience in the network at an equal cost than the method in [27].…”

Section: Dynamicmentioning

confidence: 93%

“…There is a list of this study case's features and results in Table (5). The complete list of planned generators and lines in the 118-bus system are provided in Table (6). According to the results, the desired resilience index can be achieved with a 3.95% increase in investment costs when static planning model is used.…”

Section: Modified Ieee 118-bus Power Systemmentioning

confidence: 99%

“…Events such as storms, earthquakes, and floods cause many socioeconomic losses and disrupt many people's everyday lives for a long time [5]. The increase in global temperatures and Climate change has raised concerns about the increasing severity and number of natural disasters [6]. According to US Department of Energy (DOE) studies, natural disasters have been the most common cause of blackouts [7].…”

Section: Introductionmentioning

confidence: 99%

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A two‐stage simulation‐based framework for optimal resilient generation and transmission expansion planning

Firoozjaee

Sheikh‐El‐Eslami

2022

IET Generation Trans & Dist

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This paper presents a two‐stage resilient framework for generation and transmission expansion planning that profits static and dynamic models. The first stage problem finds the generation and transmission expansion results without considering extreme events. Given the planned power system, in the second stage, a simulation‐based method is employed to accurately model the effects of the severe events and measure the expected demand not served. The proposed framework updates the formulation of the planning problem to efficiently search for a new expansion plan resulting in higher resilience levels. This paper uses the maximizing social welfare in the planning model to find the optimal result. Also, the effect of maximizing social welfare in updating the formulation of the planning problem is investigated. In this case, the planning problem is a bi‐level problem that using the primal‐dual formulation leads to a single‐level problem called a mathematical program with equilibrium constraints. After the linearization, the planning problem becomes a mixed‐integer linear programming problem. The planning model profits from reinforced transmission lines to improve power system resilience. The proposed framework is evaluated on 4‐bus, 6‐bus, and 118‐bus systems. According to the results, the proposed method with a low additional cost boosts power system resilience.

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Section: Dynamicmentioning

confidence: 93%

Section: Modified Ieee 118-bus Power Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A two‐stage simulation‐based framework for optimal resilient generation and transmission expansion planning

Firoozjaee

Sheikh‐El‐Eslami

2022

IET Generation Trans & Dist

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“…Robustness : The ability to considerably maintain normal functioning and stable operating conditions after exposing to epidemic. Increasing the system’s robustness will significantly reduce the recovery time and thus prevent or minimize severe disruptions to the community [ 37 ].…”

Section: Methodsmentioning

confidence: 99%

Key Influencing Factors and Optimization Strategy of Epidemic Resilience in Urban Communities—A Case Study of Nanjing, China

Cui

Liu

et al. 2022

IJERPH

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COVID-19 has posed a significantly severe impact on both people’s lives and the global economic development. Increasing the community epidemic resilience will considerably improve the national public health emergency response capacity from bottom to top. This study identifies the influencing factors of community epidemic resilience through systematic literature review under the 4R framework, then obtains the relationships of influencing factors through Interpretive structural model, and finally assesses the performance of epidemic resilience using PROMETHEE II method through empirical cases in Nanjing, China. The results show that: (1) Eight factors influencing the epidemic resilience of community are identified, and the economic level plays the root role; (2) Community epidemic resilience can be improved from robustness, rapidity, redundancy and resourcefulness aspects; (3) Through the empirical analysis, the epidemic resilience ranking of community can be displayed (Community D > T > S > F); (4) Additionally, the performance and sensitivity analysis of influencing factors in each community can be demonstrated. (5) Finally, four implications are proposed, namely, allocating public resources rationally, significantly increasing the economic level, ensuring the accuracy of information delivery and conducting disaster learning.

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“…Climate resilience is a technique on how systems and societies respond to external shocks and disruptions resulting from climate change extremes (Heckelman et al, 2018;Mitchell et al, 2021;Al-Humaiqani and Al-Ghamdi, 2022). The accruing climate change effects are daunting, with unprecedented environmental extremes globally (He and Silliman, 2019;Ngare et al, 2020;Bandh et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Review: Climate change resilience disconnect in rural communities in coastal Kenya. A rhetoric communication discord proliferated by COVID-19 pandemic

Ngare

Gikonyo²,

Gathuku³

et al. 2022

Front. Sustain. Food Syst.

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The world has been hit by consequential pandemics in the past two millennia. The COVID-19 pandemic has taken center stage, paralyzing vulnerable communities in the global south impacted by unprecedented climate vagaries. The focus of this study is COVID-19 and climate resilience communication rhetoric. In this context, we embed this study in response to the resilience of rural livelihoods to the COVID-19 crisis and climate resilience education communication rhetoric. We posit our review based on the following questions: Has COVID-19 worsened the climate resilience pathway for rural communities in coastal Kenya? Is the COVID-19 pandemic a proxy for climate resilience in rural livelihoods? How does COVID-19 communication rhetoric undermine climate resilience for vulnerable coastal communities in Kenya? Through a resilient theoretical paradigm, we enclose our view based on the existing literature along with climate resilience and COVID-19 proliferation. In light of the current state of COVID-19, the focus has shifted to the pandemic that will cover climate resilience. From the review, climate resilience pathway has been impacted by corona virus with noted funding response variations, in addition, even with the corona virus pandemic, climate resilience communication should be on-going rather than sporadic. Increasing the discursive process about climate change challenges is critical among Kenyan coastal communities. We recommend inclusion of climate resilience communication in existing policy frameworks as a salient solution to notable information discourse bottlenecks.

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The built environment resilience qualities to climate change impact: Concepts, frameworks, and directions for future research

Cited by 65 publications

References 80 publications

A two‐stage simulation‐based framework for optimal resilient generation and transmission expansion planning

A two‐stage simulation‐based framework for optimal resilient generation and transmission expansion planning

Key Influencing Factors and Optimization Strategy of Epidemic Resilience in Urban Communities—A Case Study of Nanjing, China

Review: Climate change resilience disconnect in rural communities in coastal Kenya. A rhetoric communication discord proliferated by COVID-19 pandemic

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