Evaluating off-peak pricing strategies in public transportation using an activity-based approach
Evaluating off-peak pricing strategies in public transportation using an activity-based approach
Public transportation authorities across the world are implementing various peak and off-peak pricing strategies to manage travel demand and improve the overall system performance. In this study, an activity-based demand framework is used to evaluate two off-peak pricing policies currently in use in Singapore. These policies consist of a free pre-peak travel on MRT and an off-peak discount for an integrated transit (public buses and MRT). Smart card data collected before and after the implementation of the first policy was used to calibrate the behavioral models involved, in order to properly capture travelers' preferences and choices. To evaluate both pricing strategies, a comprehensive set of key performance indicators was considered, including the changes in peak ridership, average trip fare, operator's revenue, the number of public transportation trips and mode share. The results indicate that off-peak discount pricing strategies are a viable policy option for spreading demand peaks, and that they are more effective in the afternoon peak. This study also demonstrates the capabilities and the advantages of an agent-based modeling platform SimMobility as a tool for policy analysis.
Lovric, M.
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Raveau, S
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Adnan, M
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Pereira, F.C.
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Basak, K.
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Loganathan, H.
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Ben-Akiva, M.
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Lovric, M.
64a3c876-4d8f-442f-9062-6dc491c773d1
Raveau, S
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Adnan, M
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Pereira, F.C.
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Basak, K.
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Loganathan, H.
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Ben-Akiva, M.
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Lovric, M., Raveau, S, Adnan, M, Pereira, F.C., Basak, K., Loganathan, H. and Ben-Akiva, M.
(2016)
Evaluating off-peak pricing strategies in public transportation using an activity-based approach.
Transportation Research Board 95th Annual Meeting, Washington, United States.
10 - 14 Jan 2016.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Public transportation authorities across the world are implementing various peak and off-peak pricing strategies to manage travel demand and improve the overall system performance. In this study, an activity-based demand framework is used to evaluate two off-peak pricing policies currently in use in Singapore. These policies consist of a free pre-peak travel on MRT and an off-peak discount for an integrated transit (public buses and MRT). Smart card data collected before and after the implementation of the first policy was used to calibrate the behavioral models involved, in order to properly capture travelers' preferences and choices. To evaluate both pricing strategies, a comprehensive set of key performance indicators was considered, including the changes in peak ridership, average trip fare, operator's revenue, the number of public transportation trips and mode share. The results indicate that off-peak discount pricing strategies are a viable policy option for spreading demand peaks, and that they are more effective in the afternoon peak. This study also demonstrates the capabilities and the advantages of an agent-based modeling platform SimMobility as a tool for policy analysis.
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e-pub ahead of print date: January 2016
Venue - Dates:
Transportation Research Board 95th Annual Meeting, Washington, United States, 2016-01-10 - 2016-01-14
Organisations:
Transportation Group
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Local EPrints ID: 398363
URI: http://eprints.soton.ac.uk/id/eprint/398363
PURE UUID: 50102eb7-5916-4b6a-896b-8e14eb06ca6f
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Date deposited: 11 Nov 2016 16:14
Last modified: 15 Mar 2024 01:33
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Contributors
Author:
S Raveau
Author:
M Adnan
Author:
F.C. Pereira
Author:
K. Basak
Author:
H. Loganathan
Author:
M. Ben-Akiva
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