Car Use: A Matter of Dependency or Choice? The Case of Commuting in Noord-Brabant

IF 1.7 Q3 URBAN STUDIES Urban Planning Pub Date : 2023-06-07 DOI:10.17645/up.v8i3.6549
H. Dashtestaninejad, Paul van de Coevering, Joost de Kruijf
{"title":"Car Use: A Matter of Dependency or Choice? The Case of Commuting in Noord-Brabant","authors":"H. Dashtestaninejad, Paul van de Coevering, Joost de Kruijf","doi":"10.17645/up.v8i3.6549","DOIUrl":null,"url":null,"abstract":"Car use in the sprawled urban region of Noord-Brabant is above the Dutch average. Does this reflect car dependency due to the lack of competitive alternative modes? Or are there other factors at play, such as differences in preferences? This article aims to determine the nature of car use in the region and explore to what extent this reflects car dependency. The data, comprising 3,244 respondents was derived from two online questionnaires among employees from the High-Tech Campus (2018) and the TU/e-campus (2019) in Eindhoven. Travel times to work by car, public transport, cycling, and walking were calculated based on the respondents’ residential location. Indicators for car dependency were developed using thresholds for maximum commuting times by bicycle and maximum travel time ratios between public transport and car. Based on these thresholds, approximately 40% of the respondents were categorised as car-dependent. Of the non-car-dependent respondents, 31% use the car for commuting. A binomial logit model revealed that higher residential densities and closer proximity to a railway station reduce the odds of car commuting. Travel time ratios also have a significant influence on the expected directions. Mode choice preferences (e.g., comfort, flexibility, etc.) also have a significant, and strong, impact. These results highlight the importance of combining hard (e.g., improvements in infrastructure or public transport provision) and soft (information and persuasion) measures to reduce car use and car dependency in commuting trips.","PeriodicalId":51735,"journal":{"name":"Urban Planning","volume":" ","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Planning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17645/up.v8i3.6549","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"URBAN STUDIES","Score":null,"Total":0}
引用次数: 1

Abstract

Car use in the sprawled urban region of Noord-Brabant is above the Dutch average. Does this reflect car dependency due to the lack of competitive alternative modes? Or are there other factors at play, such as differences in preferences? This article aims to determine the nature of car use in the region and explore to what extent this reflects car dependency. The data, comprising 3,244 respondents was derived from two online questionnaires among employees from the High-Tech Campus (2018) and the TU/e-campus (2019) in Eindhoven. Travel times to work by car, public transport, cycling, and walking were calculated based on the respondents’ residential location. Indicators for car dependency were developed using thresholds for maximum commuting times by bicycle and maximum travel time ratios between public transport and car. Based on these thresholds, approximately 40% of the respondents were categorised as car-dependent. Of the non-car-dependent respondents, 31% use the car for commuting. A binomial logit model revealed that higher residential densities and closer proximity to a railway station reduce the odds of car commuting. Travel time ratios also have a significant influence on the expected directions. Mode choice preferences (e.g., comfort, flexibility, etc.) also have a significant, and strong, impact. These results highlight the importance of combining hard (e.g., improvements in infrastructure or public transport provision) and soft (information and persuasion) measures to reduce car use and car dependency in commuting trips.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
汽车使用:依赖还是选择?正午布拉班特通勤案例
在北布拉班特(north - brabant)杂乱的城区,汽车使用率高于荷兰平均水平。这是否反映了由于缺乏竞争性的替代模式而对汽车的依赖?还是有其他因素在起作用,比如偏好的差异?本文旨在确定该地区汽车使用的性质,并探讨这在多大程度上反映了汽车依赖。这些数据包括3244名受访者,来自埃因霍温高科技园区(2018年)和TU/e-campus(2019年)的员工的两份在线问卷。开车、乘坐公共交通工具、骑自行车和步行上班的时间是根据受访者的居住地点计算的。使用自行车最大通勤时间阈值和公共交通与汽车的最大出行时间比阈值制定了汽车依赖指标。基于这些阈值,大约40%的受访者被归类为汽车依赖者。在不依赖汽车的受访者中,31%的人开车上下班。二项logit模型显示,较高的居住密度和靠近火车站的距离降低了汽车通勤的几率。旅行时间比对期望方向也有显著影响。模式选择偏好(例如,舒适度、灵活性等)也有显著且强烈的影响。这些结果强调了硬措施(如改善基础设施或公共交通)和软措施(信息和说服)相结合的重要性,以减少通勤旅行中的汽车使用和对汽车的依赖。
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 去求助
来源期刊
Urban Planning
Urban Planning URBAN STUDIES-
CiteScore
3.60
自引率
5.60%
发文量
124
审稿时长
12 weeks
期刊介绍: Urban Planning is a new international peer-reviewed open access journal of urban studies aimed at advancing understandings and ideas of humankind’s habitats – villages, towns, cities, megacities – in order to promote progress and quality of life. The journal brings urban science and urban planning together with other cross-disciplinary fields such as sociology, ecology, psychology, technology, politics, philosophy, geography, environmental science, economics, maths and computer science, to understand processes influencing urban forms and structures, their relations with environment and life quality, with the final aim to identify patterns towards progress and quality of life.
期刊最新文献
Subaltern Politics at Urban Borderlands Between the “Structural” and the “Everyday”: Bridging Macro and Micro Perspectives in Comparative Urban Research Bordering Practices in a Sustainability-Profiled Neighbourhood: Studying Inclusion and Exclusion Through Fluid and Fire Space Migrants in the Old Train Wagons Borderland in Thessaloniki: From Abandonment to Infrastructures of Commοning Social Media Groups in Interaction With Contested Urban Narratives: The Case of Koper/Capodistria, Slovenia
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1