Big Data Analysis on Transportation Operating Patterns and Passenger Behaviors－An Example of Intercity Bus Company “H”

Abstract

Intercity bus industry is a historical and important transportation in Taiwan because of its cheaper price it is still a considerable transportation There are a lot of researches discussed about the intercity bus in Taiwan but there are only a few researches discussed about emerging rising technology with intercity bus like the application of ticketing data As a result Big Data Analysis of intercity bus is an important issue right now By this research we collected the ticketing data of intercity bus company H for one year quantity to find out how input value like “Month Weekday Morning or afternoon Holiday or not Day’s number of holiday direction of route ” affect the number of passengers differential analysis of the passengers’ amount-changed between every weekday then modeling it by ANN and find out the usage rate of each pre-sale ticketing platform After that we can realize the performance of company of the intercity bus By this research the change of number of passengers from some weekdays have the difference between others In ANN part weekday is the most important input for whole model In pre-sale ticketing platform part the usage rate is affected by the time section At last we designed the questionnaire for the passengers of Route Taipei-Kaohsiung to find out the reason why they still take the service of this route provide from company ‘H’ even though they could not arrive to the destination directly By this research we found that the number of passengers has a regularly weekly change But this pattern would not exist during the holiday Then statical result shows that the change of number of passengers from some weekdays have the difference between others also the number of passengers from morning and afternoon are having difference too In ANN part whether we took “month” as an input or not weekday is still the most important input for whole model In pre-sale ticketing platform part the usage rate is affected by the time section Finally the questionnaire part shows the reason why the passengers of Route Taipei-Kaohsiung take the service provide from company “H”

Date of Award	2019
Original language	English
Supervisor	Kevin-P Hwang (Supervisor)