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Main Title: Agent-based optimisation of public transport supply and pricing: impacts of activity scheduling decisions and simulation randomness
Author(s): Kaddoura, Ihab
Kickhöfer, Benjamin
Neumann, Andreas
Tirachini, Alejandro
Type: Article
Language Code: en
Abstract: The optimal setting of public transport pricing and supply levels has been traditionally analysed with analytical models that combine the objectives of users, service providers and decision makers in optimisation problems. In this paper, public transport fare and headway are jointly optimised using an activity-based simulation framework. Unlike traditional analytical models that find single optimal values for headway, fare and other optimisation variables, we obtain a range of values for the optimal fare and headway, due to the randomness in user behaviour that is inherent to an agent-based approach. Waiting times and implications of an active bus capacity constraint are obtained on an agent-by-agent basis. The maximisation of operator profit or social welfare result in different combinations of the most likely optimal headway and fare. We show that the gap between welfare and profit optimal solutions is smaller when users can adjust their departure time according to their activities, timetabling and convenience of the public transport service.
URI: 0049-4488
Issue Date: 19-Jul-2014
Date Available: 24-Oct-2019
DDC Class: 380 Handel, Kommunikation, Verkehr
330 Wirtschaft
Subject(s): agent-based simulation
public transport supply
optimal pricing
social welfare
operator profit
Journal Title: Transportation
Publisher: Springer
Publisher Place: Dordrecht [u.a.]
Volume: 42
Issue: 6
Publisher DOI: 10.1007/s11116-014-9533-6
Page Start: 1039
Page End: 1061
EISSN: 1572-9435
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Publications

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