Artículo de revista
Agent-based optimisation of public transport supply and pricing: impacts of activity scheduling decisions and simulation randomness
Fecha
2015Registro en:
Transportation (2015) 42:1039–1061
DOI 10.1007/s11116-014-9533-6
Autor
Kaddoura, Ihab
Kickhöfer, Benjamin
Neumann, Andreas
Tirachini Hernández, Alejandro
Institución
Resumen
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-byagent
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.