旅程也可以是目的地:基于官方和众包数据探索捷克共和国摩托车交通的空间模式

IF 5.1 2区 工程技术 Q1 TRANSPORTATION Travel Behaviour and Society Pub Date : 2024-07-03 DOI:10.1016/j.tbs.2024.100860
Stanislav Kraft , Miroslav Marada , Jakub Petříček , Vojtěch Blažek , Anna Krovová
{"title":"旅程也可以是目的地:基于官方和众包数据探索捷克共和国摩托车交通的空间模式","authors":"Stanislav Kraft ,&nbsp;Miroslav Marada ,&nbsp;Jakub Petříček ,&nbsp;Vojtěch Blažek ,&nbsp;Anna Krovová","doi":"10.1016/j.tbs.2024.100860","DOIUrl":null,"url":null,"abstract":"<div><p>Not only in geography is motorcycle transport still a very under-researched phenomenon. Although there has been a recent growth in academic interest in motorcycle transport, there are still some key questions that remain unanswered. Empirical studies analysing motorcycle transport are surprisingly also based mainly on observations in the Global South, with very little research in the economically developed countries of the Global North. This paper aims to examine the spatial patterns of motorcycle transport in the Czech Republic. For the analysis, we use official data on average motorcycle intensities on the road network (i), and unofficial data crowdsourced from individual GPS navigations and social networks (ii). We found major inconsistencies between the two data sources. The paper’s main contribution is to demonstrate the great potential of crowdsourced data to identify important aspects of the spatial organisation of motorcycle traffic. Based on these data, we found substantial differences in the intensity of motorcycle traffic on the road network (different use of individual categories of communications according to both types of data), the popularity of individual motorcycle routes (higher popularity of scenic roads in GPS data), and the different lengths of individual trips during weekdays and weekends.</p></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":null,"pages":null},"PeriodicalIF":5.1000,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Even a journey can be a destination: Exploring the spatial patterns of motorcycle traffic in the Czech Republic based on official and crowdsourced data\",\"authors\":\"Stanislav Kraft ,&nbsp;Miroslav Marada ,&nbsp;Jakub Petříček ,&nbsp;Vojtěch Blažek ,&nbsp;Anna Krovová\",\"doi\":\"10.1016/j.tbs.2024.100860\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Not only in geography is motorcycle transport still a very under-researched phenomenon. Although there has been a recent growth in academic interest in motorcycle transport, there are still some key questions that remain unanswered. Empirical studies analysing motorcycle transport are surprisingly also based mainly on observations in the Global South, with very little research in the economically developed countries of the Global North. This paper aims to examine the spatial patterns of motorcycle transport in the Czech Republic. For the analysis, we use official data on average motorcycle intensities on the road network (i), and unofficial data crowdsourced from individual GPS navigations and social networks (ii). We found major inconsistencies between the two data sources. The paper’s main contribution is to demonstrate the great potential of crowdsourced data to identify important aspects of the spatial organisation of motorcycle traffic. Based on these data, we found substantial differences in the intensity of motorcycle traffic on the road network (different use of individual categories of communications according to both types of data), the popularity of individual motorcycle routes (higher popularity of scenic roads in GPS data), and the different lengths of individual trips during weekdays and weekends.</p></div>\",\"PeriodicalId\":51534,\"journal\":{\"name\":\"Travel Behaviour and Society\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2024-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Travel Behaviour and Society\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214367X24001236\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"TRANSPORTATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Travel Behaviour and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214367X24001236","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 0

摘要

不仅在地理方面,对摩托车运输现象的研究仍然非常不足。尽管近来学术界对摩托车交通的兴趣有所增长,但仍有一些关键问题尚未得到解答。令人惊讶的是,分析摩托车交通的实证研究也主要基于对全球南部地区的观察,而对全球北部经济发达国家的研究则非常少。本文旨在研究捷克共和国摩托车交通的空间模式。在分析中,我们使用了道路网络中摩托车平均强度的官方数据(i),以及从个人 GPS 导航和社交网络中获取的非官方数据(ii)。我们发现这两个数据源之间存在很大的不一致。本文的主要贡献在于展示了众包数据在识别摩托车交通空间组织的重要方面的巨大潜力。在这些数据的基础上,我们发现了道路网络中摩托车交通强度的巨大差异(根据两种类型的数据,单个通信类别的使用情况不同)、单个摩托车路线的受欢迎程度(GPS 数据中风景优美的道路受欢迎程度更高)以及工作日和周末单个行程的不同长度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Even a journey can be a destination: Exploring the spatial patterns of motorcycle traffic in the Czech Republic based on official and crowdsourced data

Not only in geography is motorcycle transport still a very under-researched phenomenon. Although there has been a recent growth in academic interest in motorcycle transport, there are still some key questions that remain unanswered. Empirical studies analysing motorcycle transport are surprisingly also based mainly on observations in the Global South, with very little research in the economically developed countries of the Global North. This paper aims to examine the spatial patterns of motorcycle transport in the Czech Republic. For the analysis, we use official data on average motorcycle intensities on the road network (i), and unofficial data crowdsourced from individual GPS navigations and social networks (ii). We found major inconsistencies between the two data sources. The paper’s main contribution is to demonstrate the great potential of crowdsourced data to identify important aspects of the spatial organisation of motorcycle traffic. Based on these data, we found substantial differences in the intensity of motorcycle traffic on the road network (different use of individual categories of communications according to both types of data), the popularity of individual motorcycle routes (higher popularity of scenic roads in GPS data), and the different lengths of individual trips during weekdays and weekends.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
9.80
自引率
7.70%
发文量
109
期刊介绍: Travel Behaviour and Society is an interdisciplinary journal publishing high-quality original papers which report leading edge research in theories, methodologies and applications concerning transportation issues and challenges which involve the social and spatial dimensions. In particular, it provides a discussion forum for major research in travel behaviour, transportation infrastructure, transportation and environmental issues, mobility and social sustainability, transportation geographic information systems (TGIS), transportation and quality of life, transportation data collection and analysis, etc.
期刊最新文献
Latent class approach to classify e-scooter non-users: A comparative study of Helsinki and Tokyo Q_EDQ: Efficient path planning in multimodal travel scenarios based on reinforcement learning Analysis of emotions of online car-hailing drivers under different driving conditions and scenarios Augmenting last-mile connectivity with multimodal transport: Do choice riders favor integrated bike taxi-bus service in metro cities? New insights into factors affecting the severity of autonomous vehicle crashes from two sources of AV incident records
×
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