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Paper details

Title:

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

Author(s):

Aalto, M., Korpinen, O-J., Ranta, T.

Document(s):

Paper Paper

Poster Poster

Abstract:

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.

Keywords:

emissions, greenhouse gases (GHG), modelling, agent-based simulation, traffic, complex system

Topic:

Bioeconomy Sustainability, Impacts and Policies

Subtopic:

Climate impacts and GHG performance

Event:

28th European Biomass Conference and Exhibition

Session:

4AV.2.13

Pages:

852 - 854

ISBN:

978-88-89407-20-2

Paper DOI:

10.5071/28thEUBCE2020-4AV.2.13

Price:

FREE