可骑行性指数的地理空间指标作为自行车友好型城市设计的系统评价

A. Valenzuela, A. Lopes, P. A. B. Araujo, M. Justina, Gabriel Claudino Budal Arins, Cassiano Ricardo Rech
{"title":"可骑行性指数的地理空间指标作为自行车友好型城市设计的系统评价","authors":"A. Valenzuela, A. Lopes, P. A. B. Araujo, M. Justina, Gabriel Claudino Budal Arins, Cassiano Ricardo Rech","doi":"10.12820/rbafs.27e0255","DOIUrl":null,"url":null,"abstract":"The aim was to identify the main geospatial indicators used in bikeability index through constructive methodological studies. The study protocol was registered in PROSPERO under the registration number CRD42020166795, following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guide. Original studies indexed in the electronic databases Lilacs, PubMed, Science Direct, Scopus, SPORTDiscus, Trid, and Web of Science were selected. The review also included grey literature through Google Scholar, OpenGrey, ProQuest, and a list of references and documents pointed out by experts. After removing duplicates and analyzing titles and abstracts, the review considered only 11 out of the 703 initial papers, which provided 100 environment indicators with varied definitions and metrics for estimating the Bikeability index. The census tract was the most used unit of the analysis found in the papers, which used GIS (Geographic Information System) data besides self-reported information on environmental characteristics. The results indicate that the most usual indicators relate to infrastructure – existence and width of bike lanes – destination, slope, speed limit, and connectivity and intersections. The creation and maintenance of bicycle-friendly environments could consider the implementation of more infrastructure on flat and connected streets with changes in speed limits in neighborhoods, especially in regions with low density of intersections, to decrease accidents and increase cyclists’ perception of safety.","PeriodicalId":52945,"journal":{"name":"Revista Brasileira de Atividade Fisica e Saude","volume":"16 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Geospatial indicators of bikeability index as cyclefriendly city design: a systematic review\",\"authors\":\"A. Valenzuela, A. Lopes, P. A. B. Araujo, M. Justina, Gabriel Claudino Budal Arins, Cassiano Ricardo Rech\",\"doi\":\"10.12820/rbafs.27e0255\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim was to identify the main geospatial indicators used in bikeability index through constructive methodological studies. The study protocol was registered in PROSPERO under the registration number CRD42020166795, following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guide. Original studies indexed in the electronic databases Lilacs, PubMed, Science Direct, Scopus, SPORTDiscus, Trid, and Web of Science were selected. The review also included grey literature through Google Scholar, OpenGrey, ProQuest, and a list of references and documents pointed out by experts. After removing duplicates and analyzing titles and abstracts, the review considered only 11 out of the 703 initial papers, which provided 100 environment indicators with varied definitions and metrics for estimating the Bikeability index. The census tract was the most used unit of the analysis found in the papers, which used GIS (Geographic Information System) data besides self-reported information on environmental characteristics. The results indicate that the most usual indicators relate to infrastructure – existence and width of bike lanes – destination, slope, speed limit, and connectivity and intersections. The creation and maintenance of bicycle-friendly environments could consider the implementation of more infrastructure on flat and connected streets with changes in speed limits in neighborhoods, especially in regions with low density of intersections, to decrease accidents and increase cyclists’ perception of safety.\",\"PeriodicalId\":52945,\"journal\":{\"name\":\"Revista Brasileira de Atividade Fisica e Saude\",\"volume\":\"16 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista Brasileira de Atividade Fisica e Saude\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12820/rbafs.27e0255\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Brasileira de Atividade Fisica e Saude","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12820/rbafs.27e0255","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

目的是通过建设性的方法学研究确定可骑自行车指数中使用的主要地理空间指标。该研究方案在PROSPERO注册,注册号为CRD42020166795,遵循PRISMA(系统评价和荟萃分析的首选报告项目)指南。选择了电子数据库Lilacs、PubMed、Science Direct、Scopus、SPORTDiscus、Trid和Web of Science中索引的原始研究。该审查还包括通过Google Scholar、OpenGrey、ProQuest获得的灰色文献,以及专家指出的参考文献和文件列表。在删除重复、分析标题和摘要后,该综述只考虑了703篇初始论文中的11篇,这些论文提供了100个环境指标,定义和指标各不相同,用于估算Bikeability指数。人口普查区是论文中使用最多的分析单位,除了自我报告的环境特征信息外,还使用了GIS(地理信息系统)数据。结果表明,最常见的指标与基础设施有关——自行车道的存在和宽度——目的地、坡度、限速、连通性和交叉路口。自行车友好型环境的创建和维护可以考虑在平坦和连接的街道上实施更多的基础设施,并改变社区的限速,特别是在十字路口密度低的地区,以减少事故并提高骑自行车者的安全意识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geospatial indicators of bikeability index as cyclefriendly city design: a systematic review
The aim was to identify the main geospatial indicators used in bikeability index through constructive methodological studies. The study protocol was registered in PROSPERO under the registration number CRD42020166795, following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guide. Original studies indexed in the electronic databases Lilacs, PubMed, Science Direct, Scopus, SPORTDiscus, Trid, and Web of Science were selected. The review also included grey literature through Google Scholar, OpenGrey, ProQuest, and a list of references and documents pointed out by experts. After removing duplicates and analyzing titles and abstracts, the review considered only 11 out of the 703 initial papers, which provided 100 environment indicators with varied definitions and metrics for estimating the Bikeability index. The census tract was the most used unit of the analysis found in the papers, which used GIS (Geographic Information System) data besides self-reported information on environmental characteristics. The results indicate that the most usual indicators relate to infrastructure – existence and width of bike lanes – destination, slope, speed limit, and connectivity and intersections. The creation and maintenance of bicycle-friendly environments could consider the implementation of more infrastructure on flat and connected streets with changes in speed limits in neighborhoods, especially in regions with low density of intersections, to decrease accidents and increase cyclists’ perception of safety.
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
自引率
0.00%
发文量
43
审稿时长
8 weeks
×
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