<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"><identifier identifierType="DOI">10.60933/PRDR/UJJC2U</identifier><creators><creator><creatorName nameType="Personal">Wu, Ting</creatorName><givenName>Ting</givenName><familyName>Wu</familyName><nameIdentifier nameIdentifierScheme="ORCID">0000-0002-7931-7654</nameIdentifier><affiliation>Fuzhou University</affiliation></creator><creator><creatorName nameType="Personal">Xu, Min</creatorName><givenName>Min</givenName><familyName>Xu</familyName><nameIdentifier nameIdentifierScheme="ORCID">0000-0002-3088-0358</nameIdentifier><affiliation>Hong Kong Polytechnic University</affiliation></creator><creator><creatorName nameType="Personal">Eltoukhy, Abdelrahman E.E.</creatorName><givenName>Abdelrahman E.E.</givenName><familyName>Eltoukhy</familyName><nameIdentifier 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><subjects><subject>Engineering</subject><subject>Random data</subject><subject>Carsharing</subject><subject>Vehicle relocation</subject><subject>Staff Rebalancing</subject><subject>Vehicle Charging</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Personal">Wu, Ting</contributorName><givenName>Ting</givenName><familyName>Wu</familyName></contributor></contributors><dates><date dateType="Submitted">2024-05-27</date><date dateType="Updated">2024-05-27</date></dates><resourceType resourceTypeGeneral="Dataset"/><relatedIdentifiers><relatedIdentifier relationType="IsCitedBy" relatedIdentifierType="DOI">10.1080/00207543.2023.2295484</relatedIdentifier></relatedIdentifiers><sizes><size>686538</size><size>1112739</size><size>10791667</size><size>686538</size><size>686480</size></sizes><formats><format>text/tab-separated-values</format><format>text/tab-separated-values</format><format>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</format><format>text/tab-separated-values</format><format>text/tab-separated-values</format></formats><version>1.0</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights rightsURI="http://creativecommons.org/licenses/by-nc/4.0">CC BY-NC 4.0</rights></rightsList><descriptions><description descriptionType="Abstract">This repository provides the data of randomly generated instances in the study 'Real-time Vehicle Relocation and Staff Rebalancing Problem for Electric and Shared Vehicle Systems'. The study 'Real-time Vehicle Relocation and Staff Rebalancing Problem for Electric and Shared Vehicle Systems' 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><geoLocations/></resource>