A multi-paradigm approach to system dynamics modeling of intercity transportation

Authored by J. -H. Lewe, L. F. Hivin, D. N. Mavris

Date Published: 2014-11

DOI: 10.1016/j.tre.2014.09.011

Sponsors: United States National Aeronautics and Space Administration (NASA)

Platforms: No platforms listed

Model Documentation: Other Narrative Mathematical description

Model Code URLs: Model code not found

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. (C) 2014 Elsevier Ltd. All rights reserved.

Tags

Aviation demand forecast Classification of hybrid models Complex system-of-systems simulation Discrete choice model Inter-city multimodal transportation Surrogate modeling