Y. Lien, Jing-Doo Wang, S. Pan, Cheng-Yuan Ho, S. Liao
{"title":"Analysis of Bus Commuting Time of High School Students in Taichung City, Taiwan","authors":"Y. Lien, Jing-Doo Wang, S. Pan, Cheng-Yuan Ho, S. Liao","doi":"10.47654/v24y2020i2p167-189","DOIUrl":null,"url":null,"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.","PeriodicalId":38875,"journal":{"name":"Advances in Decision Sciences","volume":"24 1","pages":"167-189"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Decision Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47654/v24y2020i2p167-189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Decision Sciences","Score":null,"Total":0}
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.