Experimental tour-based travel demand models
نویسندگان
چکیده
In this paper some experimental sequential models for the simulation of trip-chains are presented; the models have been calibrated on the base of a survey made in a medium-sized town. This work is part of a research, effected by the Department of Regional Planning of the University of Calabria, to forecast travel demand and to analyse travel behaviour of the transport system users. (Festa et al., 2000). The travel choices of individuals have been reproduced simulating the decisional process in sequential steps, by models based on the random utility theory. The tour generation models, proposed by Festa et al. 2001, have been once again calibrated introducing a new set of variables in the systematic utility function of the alternatives of choice. Some models for the travel type choice simulation are also presented; the models have a Binomial Logit functional structure, with trip-tour and trip-chain as choice alternatives.
منابع مشابه
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متن کاملPii: S0965-8564(99)00043-9
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36 37 As tour-based methods for activity and travel participation patterns replaces trip-based methods, time-38 of-day (TOD) choice modeling remains problematic. In practice, most travel demand model systems 39 handle tour scheduling via joint-choice multinomial logit (MNL) models, which suffer from the well-40 known independence of irrelevant alternatives (IIA) assumption. This paper introduce...
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ورودعنوان ژورنال:
- European Journal of Operational Research
دوره 175 شماره
صفحات -
تاریخ انتشار 2006