dc.description.abstract | Abstract
After the change in the high-speed rail transportation in the western intercity transportation market with distribution, and energy issues facing the impact of various transportation modes to provide high quality services and maintain their own strengths to meet the needs of those who travel becomes more important. I want to study mode choice factors, in addition to previously consider travel time, travel costs, and other factors, headway, because those on individual travel service quality perception are different, and these affect the psychological mode choice factors that are difficult to quantify factors, factor analysis of this study to measure the latent variables can not be quantified, then this hidden variable link in the individual selection mode, as a new explanatory variables to explore the right mode choice behavior affected. Personal preference heterogeneity and quality of service will also be shipped with in intercity transport development by affecting travel mode choice are important factors, this study will analyze the person’s personal preferences travel with service quality on the op feelings affect its operation. mode choice behavior.
In this study, the Taipei to Taichung and Taipei to Kaohsiung , followed by 600 travel trip by empirical study. Factor analysis to extract important service indicators (reliability, comfort, safety, convenience and service attitude) into the Multinomial logit model (MNL), nested logit model (NL) explore alternatives correlation between the characteristics and heterogeneity of individuals considered to be mixed logit (ML) and latent class (LC) mode, the final impact of the estimation results discussed travel by intercity transportation modes selection factors.
Model estimation results show latent class model can choose according to those who travel the socioeconomic characteristics and trip characteristics divided into two groups, and the logit factor analysis model can effectively capture the immeasurable psychological feeling of latent variables, through the choice of model model has been latent variables for those who travel mode choice utility impact. The results showed that affect medium-range mode choice is factor is the vehicle travel time and cost, headway, age, personal income, occupation, trip purpose, trip frequency, once again aboard the willingness and reliability. Affect long-range mode choice factors vehicle travel time and cost, headway, age, personal income, occupation, trip purpose, trip frequency, date, once again aboard the willingness and reliability. | en_US |