Abstract
Most high school students in the metropolitan areas of Taiwan commute to school by public transportation. Due to the great pressure of academic workload, the time spent on commuting is an unbearable burden. In this study, by using both field study and the analysis based on the Taichung City Traffic Big Data database, we analyzed the bus journeying behavior of high school students of Taichung City on their school commuting. Our study results will be provided to the city government and high schools as a reference to support their transportation policy making. The results of the study show that, with the exception of a very small number of students, most students ridded less than one hour. It took less time to go to school in the morning and more time to get home in the afternoon. We also provided descriptive statistics on the commuting time of the main commuters of each school. The results of big data analysis was verified by the field observation without any obvious inconsistency, which lays an empirical basis for further use of big data analysis in the future.
Highlights
Most high school students in the metropolitan areas of Taiwan commute to school by public transportation
Due to the great pressure of academic workload aiming to enter a good college, the extra time spent on school commuting is an unbearable burden
Using both field study and big data analytics, this study aims to analyze the bus journeying behavior of high school students of Taichung City on their school commuting
Summary
Most high school students in the metropolitan areas of Taiwan commute to school by public transportation. The transportation departments of local governments have to rack their brain trying every possible mean to improve the service quality of public transportation in order to reduce students’ commuting time. A special type of bus lines, called Leapfrog bus, which was introduced by the Taichung City Government a few years ago and only operated in rush hours, only stops at some major stations and skips small ones on bus routes. Using both field study and big data analytics, this study aims to analyze the bus journeying behavior of high school students (including vocational school students) of Taichung City on their school commuting. Our study results will be provided to the city government and high schools as a reference to support their transportation policy making
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