Analysis of Bus Commuting Time of High School Students in Taichung City, Taiwan

Q2 Decision Sciences
Y. Lien, Jing-Doo Wang, S. Pan, Cheng-Yuan Ho, S. Liao
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引用次数: 1

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.
台中市中学生巴士通勤时间分析
台湾大都市区的高中学生大多乘公共交通工具上学。由于巨大的学业压力,通勤时间是一种难以承受的负担。本研究采用实地调查与台中市交通大数据数据库分析相结合的方法,分析台中市高中生在学校通勤中的公交出行行为。我们的研究结果将提供给市政府和高中作为参考,以支持他们制定交通政策。研究结果表明,除了极少数学生外,大多数学生的学习时间都不到一个小时。早上去学校花的时间更少,下午回家花的时间更多。我们还提供了各学校主要通勤者的通勤时间的描述性统计。现场观测验证了大数据分析结果,无明显不一致现象,为今后进一步运用大数据分析奠定了经验基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advances in Decision Sciences
Advances in Decision Sciences Mathematics-Applied Mathematics
CiteScore
4.70
自引率
0.00%
发文量
18
审稿时长
29 weeks
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