
Published: Jan. 1, 2021
Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 110856 - 110856
Published: Jan. 1, 2025
Language: Английский
Citations
2Journal of Management in Engineering, Journal Year: 2025, Volume and Issue: 41(3)
Published: Feb. 5, 2025
Language: Английский
Citations
1Buildings, Journal Year: 2022, Volume and Issue: 12(6), P. 759 - 759
Published: June 2, 2022
When encountering crisis events, systems, organizations, and people must react handle these unpredictable events. Under circumstances, important social functions infrastructures be restored or adapted as quickly possible. This capacity refers to resilience. Although considerable research has been conducted on the resilience of infrastructure systems over past years, a critical review studies remains lacking. Therefore, this study aims bridge knowledge gap by presenting comprehensive in decade, namely, from 2011 2021. On basis systematic search, identified 222 journal articles investigating A papers revealed five streams area (IR), assessment resilience, improvement conceptualizing various perspectives, factors influencing prediction also presented some directions that future can pursue. These include analyzing based simulation, assessing green infrastructure, improving interdependent predicting empirical research.
Language: Английский
Citations
25Journal of Management in Engineering, Journal Year: 2020, Volume and Issue: 37(1)
Published: Oct. 23, 2020
Postdisaster reconstruction of transportation infrastructures generally entails complex and multiobjective planning implementation options under uncertainty because a large number underlying subjective objective factors, including social, economic, political, technical aspects. With limited federal, state, local resources, it is also challenging for decision-makers to establish meticulous plan postdisaster recovery. However, previous studies mainly dealt with the specific or execution part recovery process rarely considered comprehensive set objectives in their investigations. This paper aims develop new prioritization approach rapid optimized that evaluates priorities damaged infrastructure systems affected regions through multiagent system using reinforcement learning technique. The proposed model contributes body knowledge by providing optimization framework, considering network recovery, minimizing social impact current prolonged on communities. methodology expected help public agencies make an informed decision distributing given resources structurally arranging disaster processes simulating real-world high-dimensional scenarios optimizing plans. In particular, pursues assist disaster-relevant practitioners holistic perspective decision-making, incorporating diverse factors assigning according socioeconomic
Language: Английский
Citations
35Journal of Infrastructure Systems, Journal Year: 2024, Volume and Issue: 30(3)
Published: June 17, 2024
Language: Английский
Citations
4Journal of Management in Engineering, Journal Year: 2021, Volume and Issue: 37(6)
Published: Aug. 4, 2021
During disasters, maintaining the functionality of infrastructure systems requires effective and efficient stakeholder collaboration. Aiming at understanding collaboration robustness in response to interruptions, this research proposes a network-based approach that comprises two steps: (1) generating networks through network analysis; (2) indicating time evolution measure topological robustness. A case study, which examines on protecting transportation Texas during Hurricane Harvey, was conducted demonstrate feasibility validity proposed approach. From several social processes were identified facilitate decision making future disaster response. In addition, study implies documentation sharing information local level require further improvements. Overall, promotes interorganizational emergency management creating systematic, for quantitatively analyzing The findings provide implementable support stakeholders advance their knowledge, thereby enhancing overall performance.
Language: Английский
Citations
25Sustainable and Resilient Infrastructure, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17
Published: Jan. 3, 2025
Undertaking systemic risk assessments of critical infrastructures (CIs) is necessary to improve understanding, mitigate impacts, and increase resilience cascading effects intensifying hydrometeorological hazards. This paper presents a novel quantitative approach with stakholder participation for simulating local physical interdependencies between multiple infrastructure sectors that may be disrupted by floods. The model comprised power, water, telecommunications, emergency, transport systems. Local (node-edge) metrics were computed identify critical, vulnerable, non-redundant CIs in the network. For located areas under floods, global (for whole-network degradation) evaluated failure propagation. was tested case study Halmstad Municipality, Sweden, history extreme events. Results identified key communication high disruption potential flood exposure, as well specific residential industrial near hazard zones being most vulnerable due their extensive dependencies.
Language: Английский
Citations
0Journal of Management in Engineering, Journal Year: 2025, Volume and Issue: 41(3)
Published: Feb. 11, 2025
Language: Английский
Citations
0International Journal of Critical Infrastructure Protection, Journal Year: 2021, Volume and Issue: 35, P. 100471 - 100471
Published: Aug. 31, 2021
Language: Английский
Citations
23Journal of Management in Engineering, Journal Year: 2022, Volume and Issue: 38(5)
Published: July 1, 2022
Building effective and resilient emergency response networks (ERNs) is essential for the rapid recovery of interrupted infrastructure during extreme events. Aiming at providing critical benchmarking implementable strategies improving ERN resilience, this study proposed a novel framework to systematically quantify resilience through an enhanced metanetwork analysis (MNA)–based approach. This first applied MNA approach conceptualize complex as three-stage “agent-task-resource-knowledge” (A-T-R-K) metanetworks, representing connections among stakeholders, tasks, resources, professional knowledge. Then, suitable measures (i.e., natural connectivity, average speed, overall task completion, integrative metric resource knowledge needs waste) generated accordingly were used capacities—robustness, rapidity, resourcefulness, redundancy. was validated case Manchester Arena attack in United Kingdom. The dynamic change over time well possible causes within scenario analyzed. Additionally, improvement advantages are discussed. Overall, MNA-based promotes understanding performance conceptualizing structure dynamically quantifying capacities. Lessons learned from historical disasters provide decision-makers with support advance their collaboration sharing optimize resources tasks enhancing future operation activities.
Language: Английский
Citations
13