Logit Model on Modal Choice Behavior of Recreation Trip to Eastern Thailand
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Abstract
Mode choice behavior of recreational trips is difficult to understand and applied to transportation planning policy. To analyze the State Preferences (SP) of choosing modes of travel to the eastern region of Thailand, which is one of the best tourist attraction areas in Thailand, logit model is applied and the factors such as the service conditions of modes and socio- economic data of decision makers are analyzed. In this research, data from 405 respondents collected by Stated Preference survey are modeled as Multinomial logit model and Nested logit model. The results show that fares and frequency of services are important to choose a bus while travel time is significant for a high- speed train. The model can be beneficial to understand the traveler behavior of choosing public transport such as a high-speed train, a bus, or a van including improving public transport policies to the eastern region. For instance, improving speed and frequency of high-speed trains makes travelers more satisfied. In addition, the elderly prefer to travel by car rather than public transport, especially for high- speed trains. Therefore, the discretionary decision policy of planning and investment of the universal design for high-speed train’s facilities and station platform must be suitable for an aging society.
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