Modelling and simulation of transportation system effectiveness to reduce traffic congestion: a system dynamics framework
Document Type
Journal Article
Publication Date
2020
Subject Area
place - asia, place - urban, economics - subsidy, policy - congestion, planning - methods
Keywords
Simulation model, system dynamics, transportation systems, scenario development, effectiveness, traffic congestion
Abstract
This paper is designed to evaluate and improve the effectiveness of transportation systems and reduce traffic congestion through the use of simulation models and scenario development. A system dynamics framework is used to test and evaluate the alternatives of future strategies for the city of Surabaya, Indonesia. Some factors affecting the effectiveness of transport systems include operational effectiveness and service effectiveness, as well as uncertainty. To improve the effectiveness of transportation systems, several strategies can be implemented, such as subsidizing public transportation, increasing the cost of private vehicle parking fees, raising taxes on private vehicles, and reducing delays in public transportation through scenario development. Scenario results show that, by pursuing these strategies, effectiveness could be improved by 80% as the impact of the increase in operational and service effectiveness, helping to mitigate traffic congestion. Congestion could be reduced to 70% (on average) due to the decrease in daily traffic.
Rights
Permission to publish the abstract has been given by Taylor&Francis, copyright remains with them.
Recommended Citation
Suryani, E., Hendrawan, R.A., Adipraja, P.F.E., Wibisono, A., Widodo, B., & Indraswari, R. (2020). Modelling and simulation of transportation system effectiveness to reduce traffic congestion: a system dynamics framework. Transportation Planning and Technology, Vol. 43(7), pp. 670-697.
