Abstract:
Movements of people, goods and information have always been fundamental components of
human societies. Transport system is one of the most essential services and a vital force for
determining the upward direction of development. To achieve the desired transportation
balance and the system to be effective and efficient, it is essential to provide organized
facilities in all parts of the system. One such facility is a bus terminal. A bus terminal is a
point where transport route starts and ends where the vehicles stop, reverse and wait, before
departing on a return journey.
This research primarily focused on assessments of transport terminal operation with respect
to vehicle assignment and passengers’ perception regarding to the service given in the
terminal. Descriptive cross sectional study research type is used to identify problems in the
area. Desk study was used to check vehicles’ data from terminal and questionnaires were
distributed to passengers to analyze their level of satisfaction regarding to internal facilities
of the terminal. In order to carry out this research, similar researches as a literature review
were reviewed and different books and documents written on the subject matter from internet
and library were also reviewed. Finally, in this research, IBM SPSS version 20 is used to
develop regression model for vehicle assignment in order to have proportinal distribution of
vehicles through the routes. And Microsoft Excel was used to represent data by chart and in
addition AUTOCAD 2007 was used to visualize the bus terminal.
Based on finding of this thesis it is indicated that there was unproportional vehicle
assignment throughout the route. In addition, there were also problems such as insufficient
vehicles, absence of route information, issue of theft and discomfort of terminal to
passsengers is available in terminal and passengers were not satisfied regarding to service
given in the area. Therefore, to get proportional distribution of vehicles, such regression
model was developed Y=21.487+0.017*No. passenger, for routes categorized under short
distance routes, Y=16.363+0.066*No. passen-0.707*N. seat, for medium distance routes and
Y=42.789-0.632*No. seats for long distance routes, where Y stands for number of predicted
vehicles and accuracy of model depends on R values in the output table and vary from 0.3-1.0
for best correlation. Finally, internal facilities should have to provide to solve mentioned
problems in the terminal.
