数据驱动法评估新开发的自行车基础设施对骑车人路线选择的影响

IF 5.7 2区 工程技术 Q1 ECONOMICS
H. Tera, A. Hadachi, M. Pourmoradnasseri
{"title":"数据驱动法评估新开发的自行车基础设施对骑车人路线选择的影响","authors":"H. Tera, A. Hadachi, M. Pourmoradnasseri","doi":"10.1016/j.jtrangeo.2024.104094","DOIUrl":null,"url":null,"abstract":"Developing safe and efficient cycling networks is a vital part of creating more bike-friendly and, thus, more sustainable communities. To promote cycling effectively, continuously improving and expanding the cycling network is important. Yet, understanding and measuring the impact of newly developed cycling infrastructure is not always a straightforward task, which is often performed using limited-scope surveys or simulations. The present study aims to present a data-driven method for estimating the impact of recently developed links in the cycling network by utilizing public bicycle sharing (PBS) data. The case of Tartu, Estonia, is examined using PBS data from three consecutive years to measure pre-post change in the utilization of street segments with newly built cycling infrastructure. Bicycle-sharing trips that make use of one of these segments are extracted, and various metrics are calculated and compared. Additionally, novel metrics for measuring the impact of new developments in cycling network are presented. Specific examples of significant shifts in route choice are detected and visualized. The results indicate that the share of PBS trips that employ any of the newly improved street segments has increased compared to the pre-construction period. This study demonstrates how public bicycle sharing data can be effectively used to assess the impact of infrastructure on cyclists' route choice, and presents specific findings in the case of Tartu.","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"75 1","pages":""},"PeriodicalIF":5.7000,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data-driven approach for assessing the impact of newly developed cycling infrastructure on cyclists' route choice\",\"authors\":\"H. Tera, A. Hadachi, M. Pourmoradnasseri\",\"doi\":\"10.1016/j.jtrangeo.2024.104094\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Developing safe and efficient cycling networks is a vital part of creating more bike-friendly and, thus, more sustainable communities. To promote cycling effectively, continuously improving and expanding the cycling network is important. Yet, understanding and measuring the impact of newly developed cycling infrastructure is not always a straightforward task, which is often performed using limited-scope surveys or simulations. The present study aims to present a data-driven method for estimating the impact of recently developed links in the cycling network by utilizing public bicycle sharing (PBS) data. The case of Tartu, Estonia, is examined using PBS data from three consecutive years to measure pre-post change in the utilization of street segments with newly built cycling infrastructure. Bicycle-sharing trips that make use of one of these segments are extracted, and various metrics are calculated and compared. Additionally, novel metrics for measuring the impact of new developments in cycling network are presented. Specific examples of significant shifts in route choice are detected and visualized. The results indicate that the share of PBS trips that employ any of the newly improved street segments has increased compared to the pre-construction period. This study demonstrates how public bicycle sharing data can be effectively used to assess the impact of infrastructure on cyclists' route choice, and presents specific findings in the case of Tartu.\",\"PeriodicalId\":48413,\"journal\":{\"name\":\"Journal of Transport Geography\",\"volume\":\"75 1\",\"pages\":\"\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2024-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Transport Geography\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jtrangeo.2024.104094\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Transport Geography","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1016/j.jtrangeo.2024.104094","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data-driven approach for assessing the impact of newly developed cycling infrastructure on cyclists' route choice
Developing safe and efficient cycling networks is a vital part of creating more bike-friendly and, thus, more sustainable communities. To promote cycling effectively, continuously improving and expanding the cycling network is important. Yet, understanding and measuring the impact of newly developed cycling infrastructure is not always a straightforward task, which is often performed using limited-scope surveys or simulations. The present study aims to present a data-driven method for estimating the impact of recently developed links in the cycling network by utilizing public bicycle sharing (PBS) data. The case of Tartu, Estonia, is examined using PBS data from three consecutive years to measure pre-post change in the utilization of street segments with newly built cycling infrastructure. Bicycle-sharing trips that make use of one of these segments are extracted, and various metrics are calculated and compared. Additionally, novel metrics for measuring the impact of new developments in cycling network are presented. Specific examples of significant shifts in route choice are detected and visualized. The results indicate that the share of PBS trips that employ any of the newly improved street segments has increased compared to the pre-construction period. This study demonstrates how public bicycle sharing data can be effectively used to assess the impact of infrastructure on cyclists' route choice, and presents specific findings in the case of Tartu.
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
11.50
自引率
11.50%
发文量
197
期刊介绍: A major resurgence has occurred in transport geography in the wake of political and policy changes, huge transport infrastructure projects and responses to urban traffic congestion. The Journal of Transport Geography provides a central focus for developments in this rapidly expanding sub-discipline.
×
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:481959085
Book学术官方微信