Modeling and evaluation of a ridesharing matching system from multi‐stakeholders’ perspective

Abstract Matching riders and drivers in ridesharing considering conflicting objectives of diverse stakeholders is challenging. The objective of this research is to formulate and evaluate the performance of four ridesharing matching‐objectives (i.e. system‐wide minimisation of passengers’ wait time,...

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Main Authors: Md Tawhidur Rahman, Kakan Dey, David R. Martinelli, Sabya Mishra
Format: Article
Language:English
Published: Wiley 2021-06-01
Series:IET Intelligent Transport Systems
Subjects:
Online Access:https://doi.org/10.1049/itr2.12060
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author Md Tawhidur Rahman
Kakan Dey
David R. Martinelli
Sabya Mishra
author_facet Md Tawhidur Rahman
Kakan Dey
David R. Martinelli
Sabya Mishra
author_sort Md Tawhidur Rahman
collection DOAJ
description Abstract Matching riders and drivers in ridesharing considering conflicting objectives of diverse stakeholders is challenging. The objective of this research is to formulate and evaluate the performance of four ridesharing matching‐objectives (i.e. system‐wide minimisation of passengers’ wait time, minimisation of VMT, minimisation of detour distance, maximisation of drivers’ profit) considering interests of diverse mobility stakeholders (i.e. drivers, riders, matching agencies, government transportation agencies). A grid roadway network was used to compare the performance of the four matching‐objectives in serving a ridesharing demand scenario. Performance comparison of matching‐objectives revealed that a system‐wide VMT minimisation matching‐objective performed best with least sacrifices on the other three matching‐objectives from their respective best performance level. Also, system‐wide VMT minimisation was the best matching‐objective, when drivers’ and government transportation agencies’ expectations were prioritised. System‐wide drivers’ profit maximisation matching‐objective provided the highest monetary incentives for drivers and riders in terms of maximising profit and travel cost savings, respectively. System‐wide minimisation of detour distance was found to be least flexible in providing shared rides. The findings of this research provide useful insights on ridesharing matching system modelling and performance evaluation based on different matching‐objectives and can be used in developing and implementing ridesharing service considering multiple stakeholders’ concerns.
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spelling doaj.art-c06d71e435214535be896076ca1483592022-12-22T03:17:21ZengWileyIET Intelligent Transport Systems1751-956X1751-95782021-06-0115678179410.1049/itr2.12060Modeling and evaluation of a ridesharing matching system from multi‐stakeholders’ perspectiveMd Tawhidur Rahman0Kakan Dey1David R. Martinelli2Sabya Mishra3Department of Civil and Environmental Engineering West Virginia University G68 Engineering Science Building, 1374 Evansdale Drive Morgantown West Virginia USADepartment of Civil and Environmental Engineering West Virginia University G68 Engineering Science Building, 1374 Evansdale Drive Morgantown West Virginia USADepartment of Civil and Environmental Engineering West Virginia University G68 Engineering Science Building, 1374 Evansdale Drive Morgantown West Virginia USADepartment of Civil Engineering The University of Memphis 104 Engineering Science Building Memphis Tennessee USAAbstract Matching riders and drivers in ridesharing considering conflicting objectives of diverse stakeholders is challenging. The objective of this research is to formulate and evaluate the performance of four ridesharing matching‐objectives (i.e. system‐wide minimisation of passengers’ wait time, minimisation of VMT, minimisation of detour distance, maximisation of drivers’ profit) considering interests of diverse mobility stakeholders (i.e. drivers, riders, matching agencies, government transportation agencies). A grid roadway network was used to compare the performance of the four matching‐objectives in serving a ridesharing demand scenario. Performance comparison of matching‐objectives revealed that a system‐wide VMT minimisation matching‐objective performed best with least sacrifices on the other three matching‐objectives from their respective best performance level. Also, system‐wide VMT minimisation was the best matching‐objective, when drivers’ and government transportation agencies’ expectations were prioritised. System‐wide drivers’ profit maximisation matching‐objective provided the highest monetary incentives for drivers and riders in terms of maximising profit and travel cost savings, respectively. System‐wide minimisation of detour distance was found to be least flexible in providing shared rides. The findings of this research provide useful insights on ridesharing matching system modelling and performance evaluation based on different matching‐objectives and can be used in developing and implementing ridesharing service considering multiple stakeholders’ concerns.https://doi.org/10.1049/itr2.12060Systems theory applications in economics and businessSystems theory applications in transportation
spellingShingle Md Tawhidur Rahman
Kakan Dey
David R. Martinelli
Sabya Mishra
Modeling and evaluation of a ridesharing matching system from multi‐stakeholders’ perspective
IET Intelligent Transport Systems
Systems theory applications in economics and business
Systems theory applications in transportation
title Modeling and evaluation of a ridesharing matching system from multi‐stakeholders’ perspective
title_full Modeling and evaluation of a ridesharing matching system from multi‐stakeholders’ perspective
title_fullStr Modeling and evaluation of a ridesharing matching system from multi‐stakeholders’ perspective
title_full_unstemmed Modeling and evaluation of a ridesharing matching system from multi‐stakeholders’ perspective
title_short Modeling and evaluation of a ridesharing matching system from multi‐stakeholders’ perspective
title_sort modeling and evaluation of a ridesharing matching system from multi stakeholders perspective
topic Systems theory applications in economics and business
Systems theory applications in transportation
url https://doi.org/10.1049/itr2.12060
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