Pre-Disaster Flood Prevention Funds Allocation and Benefit Analysis Considering Social Vulnerability to Enhance Urban Sustainable Flood Resilience

International Journal of Disaster Risk Reduction, Год журнала: 2025, Номер unknown, С. 105324 - 105324

Опубликована: Фев. 1, 2025

Язык: Английский

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Scheduling Emergency Materials Using Road-Network Repair Time Sequence

Transportation Research Record Journal of the Transportation Research Board, Год журнала: 2025, Номер unknown

Опубликована: Апрель 24, 2025

Natural disasters, such as earthquakes, can cause significant damage to road networks, leading reduced rescue efficiency and hindrance operations. This study focuses on the time-sequence repair strategy for damaged network optimize material scheduling efforts. The disaster time is divided into multiple cycles, considering quantitative impact of passage time. A dynamic decision-making model formulated simultaneously. To tackle complexity model, a combination genetic algorithm Benders decomposition employed solving. effectiveness proposed evaluated using case based Ya’an earthquake. solution compared with performance mixed-integer programming solvers DICOPT (discrete continuous optimizer) SBB (simple branch bound) GAMS software. results indicate that achieves an average gap rate 2.4% when solving problem objective weighted sum transport volume urgent materials. Furthermore, dealing time, materials, out-of-stock rate, fail find acceptable solutions within reasonable frames. demonstrates efficacy in addressing emergency-material-scheduling problems efficiently.

Язык: Английский

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Dynamic penalty-based dispatching decision-making for improved emergency response in urban environments: a heuristic approach

Frontiers in Future Transportation, Год журнала: 2025, Номер 6

Опубликована: Май 20, 2025

Emergency medical services (EMS) are a crucial component of urban safety and responsiveness, optimizing their operations aligns with the broader goals creating safe, resilient cities. This study focuses on improving EMS dispatching process by leveraging mobility data collected connected vehicles simulation. is inherently sequential dynamic, where each decision impacts future resource availability. Traditional greedy approaches, which dispatch nearest available unit without considering supply-demand dynamics in surrounding area, can lead to suboptimal outcomes. introduces penalty metric that quantifies levels within ambulance’s catchment zone—defined isochrones delineate area ambulance reach an allowable time—prior dispatch. forms foundation dynamic penalty-based strategy penalizes dispatches from high-demand, low-coverage areas for low-priority calls, ultimately conserving resources high-priority emergencies. The heuristic method was tested simulating Manhattan, New York. Simulation results showed 90% episodes policy had mean response time less than 6 min compared only 75% conventional approach. paper presents proof-of-concept novel contributes optimization emergency systems environments. Additionally, this demonstrates how smart technologies large-scale enhance decision-making support tools, efficiency utilization aligning sustainability goals.

Язык: Английский

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Flood resilience in cities and urban agglomerations: a systematic review of hazard causes, assessment frameworks, and recovery strategies based on LLM tools

Natural Hazards, Год журнала: 2025, Номер unknown

Опубликована: Май 20, 2025

Язык: Английский

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