Time-dependent pricing strategies for metro lines considering peak avoidance behaviour of commuters
Document Type
Journal Article
Publication Date
2022
Subject Area
place - asia, place - urban, mode - subway/metro, economics - pricing, ridership - behaviour, ridership - commuting, ridership - mode choice, operations - crowding, planning - surveys, planning - travel demand management
Keywords
Differential pricing, bi-level optimisation, departure time choice, mode shift, nested logit model
Abstract
With growing concerns about travel demand management practices in overcrowded metro systems, it is considered that time-dependent pricing strategies are effective for dealing with the crowding occurring during peak commuting hours. In this study, a bi-level optimisation framework is used to consider the peak avoidance behaviour of commuters in the development of time-dependent pricing strategies. The behavioural sensitivity of commuters to pricing factors is investigated in terms of departure time and mode shift decisions based on a stated preference survey conducted in Beijing, China. The proposed bi-level programming model comprises a multi-objective optimisation model at the upper level and a nested logit-based stochastic user equilibrium model at the lower level. Based on an empirical case study of the Batong line in Beijing metro, nine optimal time-dependent pricing strategies are tailored by representative decision preferences, yielding up to 13.97% decrease in the peak ridership during rush hours.
Rights
Permission to publish the abstract has been given by Taylor&Francis, copyright remains with them.
Recommended Citation
Huan, N., Hess, S., Yao, E., & Liu, W. (2022). Time-dependent pricing strategies for metro lines considering peak avoidance behaviour of commuters. Transportmetrica A: Transport Science, Vol. 18(3), pp. 1420-1444.
