A4 Conference proceedings

Modeling Passenger Travels in a Low-Carbon Transportation System with an Agent-Based Simulation Approach

Open Access publication

Publication Details
Authors: Aalto Mika, Korpinen Olli-Jussi, Ranta Tapio
Publication year: 2020
Language: English
Related Journal or Series Information: European Biomass Conference And Exhibition
Title of parent publication: 28th European Biomass Conference and Exhibition Proceedings
Volume number: 28
Start page: 852
End page: 854
Number of pages: 3
ISBN: 978-88-89407-20-2
eISSN: 2282-5819
JUFO-Level of this publication: 0
Open Access: Open Access publication


Households are a big contributor to road transport emissions and there’s travels are closely linked to household activities such as shopping, work, free-time activities, and school. The simulation model was developed to estimate greenhouse gas emissions of household travels done by privet cars. Emissions were estimated as tailpipe measurement using LIPASTO emission units. Activities were estimated base on passenger traffic survey and vehicle fleet structure was estimated from Traficom open data. The simulation model was used to estimate the emissions study area in South Savo, Finland by four different scenarios. All scenarios did decrease emission, but new cars scenarios decrease was minimal. Less driving scenario ended up lowering emissions to 65% from BAU and coupled with flex-fuel scenario total emissions ended up to 45% from BAU. It can be concluded, that new cars with conventional driving power alone have a relatively small impact on GHG emissions, but the reduction of travel needs and renewable fuels' substitution for fossil fuels are the most effective ways to reduce private-car emitted GHG in short term. Inclusion of spatial, social, and economical variables could be included in the model to achieve a closer real-life simulation model and making more detailed simulations studies

Last updated on 2020-10-11 at 14:11