Browse by author
Lookup NU author(s): Vishnu Baburajan
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Peak and off-peak pricing strategies are an important policy tool used to spread peak demand in public transportation systems. This study uses an agent-based simulator (SimMobility Mid-term) to examine the impact of pricing (off-peak fare discounts) strategies used in Singapore. The aim of the paper is to demonstrate the capabilities of the simulator, and types of detailed performance indicators it can provide, in order to examine the effects of complex public transport pricing policies. Behavioral models within the simulator are calibrated with relevant datasets such as household travel survey, smart card, GPS probe data from taxis and traffic counts for the Singapore network. Nine (09) time-based pricing strategies are examined that consist of a combination of free pre-peak travel on Mass Rapid Transit (MRT) and an off-peak discount for integrated transit (public buses, MRT and Light Rail Transit (LRT)).Changes in public transport ridership, mode shares, operator's revenue and denied boarding are used as indicators to examine the impacts of pricing strategies. The effects of these policies are also examined on segments of the population in terms of income level, person type and gender. Results indicate that off-peak discounts spread PM peak demand and attract individuals to public transportation. However, the availability of fare discounts in all off-peak periods results in adverse impacts during the AM peak because many commuters shift the return leg rather than the initial leg of their journey. The study concludes with suggestions on how to explore more effective pricing strategies, i.e. providing fare discounts only during off-peak periods that surround AM peak.
Author(s): Adnan M, Biran BN, Baburajan V, Basak K, Ben-Akiva M
Publication type: Article
Publication status: Published
Journal: Transportation Research Part A: Policy and Practice
Print publication date: 01/10/2020
Online publication date: 29/08/2020
Acceptance date: 17/08/2020
ISSN (print): 0965-8564
ISSN (electronic): 1879-2375
Publisher: Elsevier Ltd
Altmetrics provided by Altmetric