RESEARCH ARTICLE


Supernetworks for Combined Travel Choice Models



Huey-Kuo Chen
Department of Civil Engineering, National Central University, No. 300, Jung-Da Road, Jung-Li City, Taoyuan 320, Taiwan.


Article Metrics

CrossRef Citations:
4
Total Statistics:

Full-Text HTML Views: 188
Abstract HTML Views: 386
PDF Downloads: 127
Total Views/Downloads: 701
Unique Statistics:

Full-Text HTML Views: 122
Abstract HTML Views: 264
PDF Downloads: 107
Total Views/Downloads: 493



Creative Commons License
© 2011 Huey-Kuo Chen;

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Department of Civil Engineering, National Central University, No. 300, Jung-Da Road, Jung-Li City, Taoyuan 320, Taiwan; Tel: +886-3-4227151, Ext. 34115; Fax: +886-3-4252960; E-mail: ncutone@ncu.edu.tw


Abstract

A supernetwork is usually defined as an augmented network that consists of a “basic network” for route choice and a “virtual network” for other travel choices. Supernetwork representations are useful pedagogical device to interpret various combined travel choice models as an extension of the fixed demand traffic assignment problem. Based on three proposed criteria, this paper reviews current supernetworks and modifies them as needed for better representation. A nested combined model consisting of four choices subject to variable demand is described with an example. Using supernetwork representations, combined travel choice models have great potential to become more popular than sequential four-step travel demand forecasting, even with feedback. In addition, recently developed quick-precision traffic assignment algorithms could be more efficient than traditional multistage solution algorithms for solving combined travel choice models. The proposed new supernetwork representations can be extended to other network problems in the supply chain network or other economics networks with minor modifications.

Keywords: Supernetwork, trip origins, trip distribution, modal choice, traffic assignment.