FAKTOR PEMILIHAN MODA PENGUNJUNG CAR-FREE DAY KOTA BANDUNG

Muhammad Abdul Muhdi Bindar
{"title":"FAKTOR PEMILIHAN MODA PENGUNJUNG CAR-FREE DAY KOTA BANDUNG","authors":"Muhammad Abdul Muhdi Bindar","doi":"10.35472/jppk.v2i3.1017","DOIUrl":null,"url":null,"abstract":"This paper aims to reveal the dimension underlying variables that affect the trip makers; mode choice to reach Car-Free Day location, taking Bandung as a case study. Twelve variables are gathered from several works of literature, namely trip cost, parking cost, trip duration, trip distance, number of people on the trip, the highest number of lanes in the trip, the age of the trip maker(s), number of vehicle ownership, whether those are motorized or non-motorized, and the number of household member. Correlations between variables are more than possible to find in that amount. Therefore, a principal component analysis is used to group the variables into factors, representing the structure or dimension laid down beneath them. This method shows that five groups of variables, or factors, are generated. The result then is compared to number of literatures that priorly have been reviewed. These factors finally are refined by grouping them into only 3 factors: “trip characteristics”, which consist of trip duration, the highest number of lanes in the trip, and trip distance. The second factor, namely trip-maker characteristics, which is built upon trip maker’s age(s), number of people on the trip, and vehicle ownership of the trip maker(s). The last, but not least, factor is labeled “household structure”, with its variables being the number of adults and kids in the trip maker’s household. Each factor also contains the variables’ factor loadings.","PeriodicalId":192769,"journal":{"name":"Jurnal Perencanaan dan Pengembangan Kebijakan","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Perencanaan dan Pengembangan Kebijakan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35472/jppk.v2i3.1017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper aims to reveal the dimension underlying variables that affect the trip makers; mode choice to reach Car-Free Day location, taking Bandung as a case study. Twelve variables are gathered from several works of literature, namely trip cost, parking cost, trip duration, trip distance, number of people on the trip, the highest number of lanes in the trip, the age of the trip maker(s), number of vehicle ownership, whether those are motorized or non-motorized, and the number of household member. Correlations between variables are more than possible to find in that amount. Therefore, a principal component analysis is used to group the variables into factors, representing the structure or dimension laid down beneath them. This method shows that five groups of variables, or factors, are generated. The result then is compared to number of literatures that priorly have been reviewed. These factors finally are refined by grouping them into only 3 factors: “trip characteristics”, which consist of trip duration, the highest number of lanes in the trip, and trip distance. The second factor, namely trip-maker characteristics, which is built upon trip maker’s age(s), number of people on the trip, and vehicle ownership of the trip maker(s). The last, but not least, factor is labeled “household structure”, with its variables being the number of adults and kids in the trip maker’s household. Each factor also contains the variables’ factor loadings.
万隆市免费汽车日游客的选择因素
本文旨在揭示影响出行者的维度潜在变量;模式选择实现无车日地点,以万隆为案例研究。从几部文献中收集了12个变量,分别是出行成本、停车成本、出行时间、出行距离、出行人数、出行中最高车道数、出行人的年龄、车辆拥有量(无论是机动车还是非机动车)、家庭成员数量。在这个数量中,变量之间的相关性是很有可能找到的。因此,主成分分析用于将变量分组为因子,代表它们下面的结构或维度。该方法显示生成了五组变量或因素。然后将结果与先前已审查的文献数量进行比较。这些因素最终被细化为3个因素:“出行特征”,包括出行时间、出行中最多车道数和出行距离。第二个因素,即出行者特征,这是建立在出行者的年龄,出行人数和出行者的车辆拥有量上。最后一个但并非最不重要的因素是“家庭结构”,其变量是旅行者家庭中成年人和孩子的数量。每个因子还包含变量的因子加载。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书