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1.
Data Brief ; 46: 108762, 2023 Feb.
Article in English | MEDLINE | ID: mdl-36478688

ABSTRACT

This article presents a database with geographical and demographic information characterizing the impacts to road and maritime networks, and coastal communities, of a plausible magnitude M9.0 megathrust Cascadia Subduction Zone earthquake scenario near Vancouver Island in British Columbia, Canada. The database consists of a medium and a high impact case associated with the earthquake scenario. The data include the geographical location of communities, ports, and airports/helipads/heliports, the structure of the roads network and their expected damage levels, the resilience level and population size of the communities on Vancouver Island, and the trajectories, expected delays and capacities of ferries and barges. The data originates from government and carriers' open available reports and external datasets, and several impact models. The primary purpose of this database is to support disaster management researchers working to develop and test network models that focus on road repair and restoration, and on the multi-modal distribution of relief supplies to victims. In addition, the data can be used to test heuristic and metaheuristic approaches applied to network models in the context of natural disasters.

2.
Data Brief ; 45: 108674, 2022 Dec.
Article in English | MEDLINE | ID: mdl-36426051

ABSTRACT

This article presents a database which contains a comprehensive and systematically varied set of network instances. These can be applied as benchmarks for multiple road repair and restoration problems in the context of natural disasters. The characteristics of the instances vary in terms of network size, intensity and type of disaster affecting the road network, the epicenter's location, and the number of sub-networks in which the initial network is divided after the disaster occurs. The instances were developed primarily for the Multi-vehicle Prize Collecting Arc Routing for Connectivity Problem (KPC-ARCP). These are however easily adaptable to other well-known connectivity, vehicle routing, and facility location problems in the Operations Research literature. The instances are available on a public repository, as is the Python code to generate the instances.

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