Citation

Lewe JH, Hivin LF, Mavris DN. Transp. Res. E Logist. Transp. Rev. 2014; 71: 188-202.

Copyright

(Copyright © 2014, Elsevier Publishing)

DOI

10.1016/j.tre.2014.09.011

PMID

unavailable

Abstract

The complexity of the transportation system calls for a holistic solution approach that employs multiple modeling paradigms such as agent-based modeling and system dynamics. Various techniques for combining these paradigms are explored and logically classified, which helps guide hybrid modeling. A system dynamics model for multimodal intercity transportation is created, which integrates socioeconomic factors, mode performance, aggregated demand and capacity. The model is calibrated against a set of data points from an existing agent-based model. An effective inheritance of the proven predictive power of the agent-based model is demonstrated by reproducing the historic aviation demand with sufficient accuracy.