An entropy-based modal split model
Kurt Jörnsten and
Jan T. Lundgren
Transportation Research Part B: Methodological, 1989, vol. 23, issue 5, 345-359
Abstract:
A mathematical programming model for modal split predictions based on entropy maximization is presented. The relationship between this type of entropy-based model and the more traditional logit-type models is clarified. The entropy model presented has been used to predict travel patterns in the Stockholm region and has been based on census and survey data. A balancing procedure has been used in the solution process. It is shown how additional information, in this case traffic count information, can be included in the model. Computational results and experiences are discussed.
Date: 1989
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0191-2615(89)90011-8
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:transb:v:23:y:1989:i:5:p:345-359
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Transportation Research Part B: Methodological is currently edited by Fred Mannering
More articles in Transportation Research Part B: Methodological from Elsevier
Bibliographic data for series maintained by Catherine Liu ().