| Summary |
Chi-Chang Huang，2007.06
Feng Chia University
Nowadays, general population emphasize their value of time especially when high speed rail enters traffic market. Therefore, it is expected that in making decision of long-distance trip, people not only consider ticket price and service quality, but also the attributes of being on schedule of both departure and arrival time. The industry of scheduled bus on national freeway usually puts business strategies to focus on ticket prices competition, the improvement of facilities inside vehicles and upgrading the station equipments, but less concerns passengers’ waiting time for vehicles, in vehicle time and arrival time to a destination, thus, those time are not precisely provided or even not provided. This research takes two bus lines, from Taichung by Chao-Ma to Taipei and from Taipei by Chao-Ma to Taichung, among inter-city lines of Kuo-Kuang Motor Transport Company of scheduled bus on national freeway under investigation. Through field investigation, this thesis tries to find out the efficiency of bus operation, and use questionnaire to gather information about passengers’ experiences and perception. It is suggested that using Accelerated Failure Time Model to formulate studied models, and explore impact factors of perceived waiting time, actual waiting time, perceived in-vehicle time, actual in-vehicle time, and the difference between perceived and actual times. An arrival time window discussion is given following the results of estimated waiting time and in-vehicle time, for the sake that passengers can arrange time more effectively.
According to the result of studied models, perceived waiting time is varied by departure station, the most frequent departure time for previous experiences, time periods with ticket price discounts or not for current time, departure time for current time, and whether the travel is under time pressure for current time. The actual waiting time is different between departure station, the type of assigned vehicles (for example, scheduled bus, extra bus and other O-D scheduled bus), and departure time for current time. The difference between perceived and actual waiting time is influenced by departure station, time periods with ticket price discounts or not for current time, and departure time for current time. The perceived in-vehicle time is affected by departure time for current time and departure/arrival station. The actual in-vehicle time is changed by the type of assigned vehicles, departure time for current time, and departure/arrival station. The difference between perceived and actual in-vehicle time is influenced by trip frequency, the type of assigned vehicles, and departure/arrival station. Moreover, total travel time is predicted by the type of tickets for current time (for example, the pre-ordered ticket or not), departure time for current time, and departure/arrival station. Later, further exploration to the result of actual time models depicts reliable time window application, and shows extra use of software programming language for building in-time message delivery system for passengers. In conclusion, passengers can pre-plan their trips, thus use their time more flexibly. |
