<?xml version="1.0" encoding="UTF-8"?>
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          xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <identifier identifierType="DOI">10.60933/PRDR/UJJC2U</identifier>
    <creators><creator><creatorName>Wu, Ting</creatorName><nameIdentifier schemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0000-0002-7931-7654</nameIdentifier><affiliation>(Fuzhou University)</affiliation></creator><creator><creatorName>Xu, Min</creatorName><nameIdentifier schemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0000-0002-3088-0358</nameIdentifier><affiliation>(Hong Kong Polytechnic University)</affiliation></creator><creator><creatorName>Eltoukhy, Abdelrahman E.E.</creatorName><nameIdentifier schemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0000-0001-5714-3641</nameIdentifier><affiliation>(Khalifa University)</affiliation></creator></creators>
    <titles>
        <title>Instance data for the study 'Real-time Vehicle Relocation and Staff Rebalancing Problem for Electric and Shared Vehicle Systems'</title>
    </titles>
    <publisher>PolyU Research Data Repository</publisher>
    <publicationYear>2024</publicationYear>
    <resourceType resourceTypeGeneral="Dataset"/>
    <relatedIdentifiers><relatedIdentifier relatedIdentifierType="DOI" relationType="HasPart">doi:10.60933/PRDR/UJJC2U/BV9SSO</relatedIdentifier><relatedIdentifier relatedIdentifierType="DOI" relationType="HasPart">doi:10.60933/PRDR/UJJC2U/CGSV1N</relatedIdentifier><relatedIdentifier relatedIdentifierType="DOI" relationType="HasPart">doi:10.60933/PRDR/UJJC2U/ZRIOQT</relatedIdentifier><relatedIdentifier relatedIdentifierType="DOI" relationType="HasPart">doi:10.60933/PRDR/UJJC2U/ZBVC1T</relatedIdentifier><relatedIdentifier relatedIdentifierType="DOI" relationType="HasPart">doi:10.60933/PRDR/UJJC2U/BXHDYP</relatedIdentifier></relatedIdentifiers>
    <descriptions>
        <description descriptionType="Abstract">This repository provides the data of randomly generated instances in the study &apos;Real-time Vehicle Relocation and Staff Rebalancing Problem for Electric and Shared Vehicle Systems&apos;. The study &apos;Real-time Vehicle Relocation and Staff Rebalancing Problem for Electric and Shared Vehicle Systems&apos; aims to determine the strategies of vehicle relocation, vehicle charging, and staff rebalancing in a real-time fashion by maximizing the profit of carsharing operators.</description>
    </descriptions>
    <contributors><contributor contributorType="ContactPerson"><contributorName>Wu, Ting</contributorName></contributor></contributors>
</resource>
