000138796 001__ 138796
000138796 005__ 20181203021624.0
000138796 022__ $$a0191-2615
000138796 0247_ $$2doi$$a10.1016/j.trb.2008.04.001
000138796 037__ $$aARTICLE
000138796 245__ $$aNormalization of network generalized extreme value models
000138796 260__ $$c2008
000138796 269__ $$a2008
000138796 336__ $$aJournal Articles
000138796 520__ $$aAbstract Generalized extreme value (GEV) models provide a convenient way to model choice behavior that is consistent with utility maximization theory, but the development of specific new models within the GEV family has been slow, due to the difficulty of ensuring new formulations comply with all the GEV rules. The network GEV structure introduced by Daly and Bierlaire [Daly, A. and M. Bierlaire, 2006. A general and operational representation of Generalised Extreme Value models. Transportation Research Part B, v. 40, pp. 285-305.] provides a tool to quickly generate new models in the GEV family, without the burden of complex analysis of the new model to ensure its properties. This paper further develops the network GEV tool, describing several methodologies for correctly normalizing the allocation parameters in such models, to ensure unbiasedness. These methods vary depending on the structure of the underlying network.
000138796 700__ $$0244505$$aNewman, Jeffrey$$g187188
000138796 773__ $$j42$$k10$$q958-969$$tTransportation Research Part B: Methodological
000138796 909C0 $$0252123$$pTRANSP-OR$$xU11418
000138796 909CO $$ooai:infoscience.tind.io:138796$$particle$$pENAC
000138796 937__ $$aTRANSP-OR-ARTICLE-2008-014
000138796 970__ $$aIJ-Newman08/TRANSP-OR
000138796 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000138796 980__ $$aARTICLE