Authors:
Markus C. Beutel
;
Sebastian Addicks
;
Barbara S. Zaunbrecher
;
Simon Himmel
;
Karl-Heinz Krempels
and
Martina Ziefle
Affiliation:
RWTH Aachen University, Germany
Keyword(s):
Transportation Demand Management, Agent based Simulation, Transportation Demand Simulation, Multi-method
Approach.
Related
Ontology
Subjects/Areas/Topics:
Energy and Economy
;
Energy-Aware Systems and Technologies
;
Green Computing Models, Methodologies and Paradigms
;
Mechanisms for Motivating Behaviour Change
;
Optimization Techniques for Efficient Energy Consumption
;
Smart Cities
;
Sustainable Computing and Communications
Abstract:
Fostering the usage of alternative mobility modes, e.g., carsharing or carpooling becomes more and more
urgent in modern urban planning. Politicians and city planners have already recognized that putting targeted
incentives can influence people’s mobility behavior in an effective way. Agent-based simulations of transportation
demand can be a valuable tool to support these planning processes. This work is based on a state-of-the-art
transportation demand simulation and shows modeling and simulation modifications related with agents under
the influence of incentives. These agents have been assessed in qualitative and quantitative studies prior to the
simulation. Results show that agent-based simulation of transportation demand is suitable to evaluate impacts
of transportation demand management measures. More specifically, all investigated measures show certain
impacts on mobility mode choice, at which an incentive combination is most effective.