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Dynamic Analysis and Modeling of Stated Preference for Travel Modes
Dynamic analysis of stated preference for a new light rail transit system established in 1994 in Hiroshima was carried out using panel data collected for work/school trips at three points in time; 1987, 1990 and 1993. It was first empirically demonstrated that the stated preference for the New Transit System is greatly affected by actual travel modes being used (car and bus) and that the temporal changes of stated preference which were caused by changes of actual travel modes do not support the Markovian assumptions which indicate the individual's responses to a change of travel environment over three years (1987–90). The importance of state dependence was also identified by building dynamic SP mode choice models of the multinomial logit type. This was done in two ways: one was to employ the difference of past choice probabilities in the utility function and the other was the number of the best modes in past SP experiments. Even though both models improved greatly model goodness-of-fit, the latter was proved to be superior to the former in model estimation based on 1993 data.
Dynamic Analysis and Modeling of Stated Preference for Travel Modes
Dynamic analysis of stated preference for a new light rail transit system established in 1994 in Hiroshima was carried out using panel data collected for work/school trips at three points in time; 1987, 1990 and 1993. It was first empirically demonstrated that the stated preference for the New Transit System is greatly affected by actual travel modes being used (car and bus) and that the temporal changes of stated preference which were caused by changes of actual travel modes do not support the Markovian assumptions which indicate the individual's responses to a change of travel environment over three years (1987–90). The importance of state dependence was also identified by building dynamic SP mode choice models of the multinomial logit type. This was done in two ways: one was to employ the difference of past choice probabilities in the utility function and the other was the number of the best modes in past SP experiments. Even though both models improved greatly model goodness-of-fit, the latter was proved to be superior to the former in model estimation based on 1993 data.
Dynamic Analysis and Modeling of Stated Preference for Travel Modes
Sugie, Yoriyasu (author) / Fujiwara, Akimasa (author)
International Journal of Urban Sciences ; 8 ; 13-27
2004-04-01
15 pages
Article (Journal)
Electronic Resource
Unknown
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