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

被引：33
|
作者：
Lewe, J. -H. [1 ]
Hivin, L. F. [1 ]
Mavris, D. N. [1 ]
机构：
[1] Georgia Inst Technol, Atlanta, GA 30332 USA
来源：
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW | 2014年 / 71卷
关键词：
Complex system-of-systems simulation; Inter-city multimodal transportation; Aviation demand forecast; Classification of hybrid models; Surrogate modeling; Discrete choice model; AGENT; GROWTH;
D O I：
10.1016/j.tre.2014.09.011
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
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.
引用
收藏
页码：188 / 202
页数：15
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