Cities are
known as complex, densely populated environments with transport infrastructure
playing a substantial role. With a new policy push to shift people’s travel
behavior to healthy mobility, improved cycling routes may positively alter the
comfort of travelers. A model of traffic flow can help city planners to
delineate spots where road rearrangement is required. By means of a simulation
approach the model can imitate disaggregated movements of a very large amount
of travelers in a spatio-temporal manner. Characteristics of a built bicycle
network and a natural environment influence the choice of every individual to
use their preferred transport mode and route within a day. Thus, dynamic
assignment of people’s daily activity schedules depends on a combination of
their personal attributes, along with environmental conditions and
interactions. These assumptions in transport modelling are supported by an
agent-based approach, which allow unpredictable patterns to emerge.
The FFG
funded FamoS project develops such a bicycle traffic flow model for the city of
Salzburg in the GAMA-platform simulation environment, using the agent-based
modelling approach. A project partner, the Institute of Highway Engineering and
Transport Planning from the Technical University of Graz, implements a
classical 4-step transport modelling technique to develop a similar bicycle
demand model for Graz.
Contact:
Martin Loidl, Interfaculty Department of Geoinformatics - Z_GIS
No comments:
Post a Comment