A mechanism for organizing last-mile service using non-dedicated fleet

Unprecedented pace of urbanization and rising income levels have fueled the growth of car ownership in almost all newly formed megacities. Such growth has congested the limited road space and significantly affected the quality of life in these megacities. Convincing residents to give up their cars a...

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Main Authors: CHENG, Shih-Fen, NGUYEN, Duc Thien, LAU, Hoong Chuin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
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Online Access:https://ink.library.smu.edu.sg/sis_research/1665
https://ink.library.smu.edu.sg/context/sis_research/article/2664/viewcontent/MechOrgLastMileNonDedicatedFleet_2012_WIC_afv.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-26642016-12-15T10:01:48Z A mechanism for organizing last-mile service using non-dedicated fleet CHENG, Shih-Fen NGUYEN, Duc Thien LAU, Hoong Chuin Unprecedented pace of urbanization and rising income levels have fueled the growth of car ownership in almost all newly formed megacities. Such growth has congested the limited road space and significantly affected the quality of life in these megacities. Convincing residents to give up their cars and use public transport is the most effective way in reducing congestion; however, even with sufficient public transport capacity, the lack of last-mile (from the transport hub to the destination) travel services is the major deterrent for the adoption of public transport. Due to the dynamic nature of such travel demands, fixed-size fleets will not be a cost-effective approach in addressing last-mile demands. Instead, we propose a dynamic, incentive-based mechanism that enables taxi ridesharing for satisfying last-mile travel demands. On the demand side, travelers would register their last-mile travel demands in real-time, and they are expected to receive ride arrangements before they reach the hub; on the supply side, depending on the real-time demands, proper incentives will be computed and provided to taxi drivers willing to commit to the lastmile service. Multiple travelers will be clustered into groups according to their destinations, and travelers belonging to the same group will be assigned to a taxi, while each of them paying fares considering their destinations and also their orders in reaching destinations. In this paper, we provide mathematical formulations for demand clustering and fare distribution. If the model returns a solution, it is guaranteed to be implementable. For cases where it is not possible to satisfy all demands despite having enough capacity, we propose a two-phase approach that identifies the maximal subset of riders that can be feasibly served. Finally, we use a series of numerical examples to demonstrate the effectiveness of our approach. 2012-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/1665 info:doi/10.1109/WI-IAT.2012.254 https://ink.library.smu.edu.sg/context/sis_research/article/2664/viewcontent/MechOrgLastMileNonDedicatedFleet_2012_WIC_afv.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University urban transportation ride sharing mechanism Artificial Intelligence and Robotics Operations Research, Systems Engineering and Industrial Engineering Transportation
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic urban transportation
ride sharing mechanism
Artificial Intelligence and Robotics
Operations Research, Systems Engineering and Industrial Engineering
Transportation
spellingShingle urban transportation
ride sharing mechanism
Artificial Intelligence and Robotics
Operations Research, Systems Engineering and Industrial Engineering
Transportation
CHENG, Shih-Fen
NGUYEN, Duc Thien
LAU, Hoong Chuin
A mechanism for organizing last-mile service using non-dedicated fleet
description Unprecedented pace of urbanization and rising income levels have fueled the growth of car ownership in almost all newly formed megacities. Such growth has congested the limited road space and significantly affected the quality of life in these megacities. Convincing residents to give up their cars and use public transport is the most effective way in reducing congestion; however, even with sufficient public transport capacity, the lack of last-mile (from the transport hub to the destination) travel services is the major deterrent for the adoption of public transport. Due to the dynamic nature of such travel demands, fixed-size fleets will not be a cost-effective approach in addressing last-mile demands. Instead, we propose a dynamic, incentive-based mechanism that enables taxi ridesharing for satisfying last-mile travel demands. On the demand side, travelers would register their last-mile travel demands in real-time, and they are expected to receive ride arrangements before they reach the hub; on the supply side, depending on the real-time demands, proper incentives will be computed and provided to taxi drivers willing to commit to the lastmile service. Multiple travelers will be clustered into groups according to their destinations, and travelers belonging to the same group will be assigned to a taxi, while each of them paying fares considering their destinations and also their orders in reaching destinations. In this paper, we provide mathematical formulations for demand clustering and fare distribution. If the model returns a solution, it is guaranteed to be implementable. For cases where it is not possible to satisfy all demands despite having enough capacity, we propose a two-phase approach that identifies the maximal subset of riders that can be feasibly served. Finally, we use a series of numerical examples to demonstrate the effectiveness of our approach.
format text
author CHENG, Shih-Fen
NGUYEN, Duc Thien
LAU, Hoong Chuin
author_facet CHENG, Shih-Fen
NGUYEN, Duc Thien
LAU, Hoong Chuin
author_sort CHENG, Shih-Fen
title A mechanism for organizing last-mile service using non-dedicated fleet
title_short A mechanism for organizing last-mile service using non-dedicated fleet
title_full A mechanism for organizing last-mile service using non-dedicated fleet
title_fullStr A mechanism for organizing last-mile service using non-dedicated fleet
title_full_unstemmed A mechanism for organizing last-mile service using non-dedicated fleet
title_sort mechanism for organizing last-mile service using non-dedicated fleet
publisher Institutional Knowledge at Singapore Management University
publishDate 2012
url https://ink.library.smu.edu.sg/sis_research/1665
https://ink.library.smu.edu.sg/context/sis_research/article/2664/viewcontent/MechOrgLastMileNonDedicatedFleet_2012_WIC_afv.pdf
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