EconPapers    
Economics at your fingertips  
 

Derivation of nested transport models within a mathematical programming framework

Stéphane Brice

Transportation Research Part B: Methodological, 1989, vol. 23, issue 1, 19-28

Abstract: This paper presents an optimisation framework for deriving transport demand models with a nested choice structure. The mathematical program is based on the separability of the entropy term in the objective function. The resulting models have similar functional forms to those formed from random utility maximisation principles. However, some precautions must be taken as to the conditional sequence chosen, the uneven sizes of choice subsets, and unlikely values of parameters. The required parameters cannot be directly evaluated by simply satisfying a trip cost constraint because the nested model structure implies endogenous measures to attribute to each level of demand. A computational procedure based on the satisfaction of entropy constraints is presented for calibrating each level-related parameter.

Date: 1989
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0191-2615(89)90020-9
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:1:p:19-28

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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:transb:v:23:y:1989:i:1:p:19-28