In disaster management, material reserves are defined by uncertain demand. Overstock may lead to wasted funds, while shortages increase purchase pressures in the post-disaster environment. The funding allocation for pre disaster reserve and post disaster procurement is a dilemma. Catastrophe insurance is intended to moderate this dilemma. The relief organization is intended to insure against the surge in demand that accompanies disaster, which may require it to purchase a large amount of materials urgently post disaster. This study develops a funding allocation optimization model for disaster response planning and preparedness, with the added leverage of catastrophe insurance. The goal of this paper is to determine the relief organization's optimal allocation of funds for material reserve, insurance premiums and possible post-disaster purchases to minimize long-term total relief costs. We model the problem as a two-stage robust optimization model designed to minimize the overall costs, and adopt an efficient column and constraint generation algorithm to calculate it. Using data from the flood disasters of Heilongjiang, China, some of the scenarios indicate a reduction in the government's relief costs by adopting insurance instead of applying option contract or just returning unused relief supplies. Our study confirms the advantages of catastrophe insurance in leveraging capital, and reducing disaster material overstocks and insufficient risks. • Catastrophe insurance is incorporated into the disaster preparedness optimization problem for the first time.. • The moderate conservative characteristics of the two-stage robust optimization are used. • In some cases, integrating insurance into pre-positioning could be more effective in reducing costs than the other common strategies. 

Funding allocations for disaster preparation considering catastrophe insurance

The Impact of Tropical Cyclones and Water Conservancy Projects on Island's Flash Floods

The impact of tropical cyclones and water conservancy projects on island’s flash floods

Urban intersections are one of the most common sources of traffic congestion. Especially for multiple intersections, an appropriate control method should be able to regulate the traffic flow within the control area. The intersection signal-timing problem is crucial for ensuring efficient traffic operations, with the key issues being the determination of a traffic model and the design of an optimization algorithm. So, an optimization method for signalized intersections integrating a multi-objective model and an NSGAIII-DAE algorithm is established in this paper. Firstly, the multi-objective model is constructed including the usual signal control delay and traffic capacity indices. In addition, the conflict delay caused by right-turning vehicles crossing straight-going non-motor vehicles is considered and combined with the proposed algorithm, enabling the traffic model to better balance the traffic efficiency of intersections without adding infrastructure. Secondly, to address the challenges of diversity and convergence faced by the classic NSGA-III algorithm in solving traffic models with high-dimensional search spaces, a denoising autoencoder (DAE) is adopted to learn the compact representation of the original high-dimensional search space. Some genetic operations are performed in the compressed space and then mapped back to the original search space through the DAE. As a result, an appropriate balance between the local and global searching in an iteration can be achieved. To validate the proposed method, numerical experiments were conducted using actual traffic data from intersections in Jinzhou, China. The numerical results show that the signal control delay and conflict delay are significantly reduced compared with the existing algorithm, and the optimal reduction is 33.7% and 31.3%, respectively. The capacity value obtained by the proposed method in this paper is lower than that of the compared algorithm, but it is also 11.5% higher than that of the current scheme in this case. The comparisons and discussions demonstrate the effectiveness of the proposed method designed for improving the efficiency of signalized intersections.

Multi-Objective Optimization Method for Signalized Intersections in Intelligent Traffic Network

Towards a verifiable, uncertainty-controlled assessment of the spatiotemporal dynamics of social vulnerability to flash floods

A novel multi-objective optimization framework to allocate support funds for flash flood reduction based on multiple vulnerability assessment

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Lingling Bin

Author Tools

Chat about Author

Papers

A novel multi-objective optimization framework to allocate support funds for flash flood reduction based on multiple vulnerability assessment