Geospatial indicators of bikeability index as cyclefriendly city design: a systematic review
Autor: | Alfredo Leopoldo Enrique Messenger Valenzuela, Adalberto Aparecido dos Santos Lopes, Pablo Antônio Bertasso de Araujo, Marcelo Dutra Della Justina, Gabriel Claudino Budal Arins, Cassiano Ricardo Rech |
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Rok vydání: | 2022 |
Předmět: | |
Zdroj: | Revista Brasileira de Atividade Física & Saúde. 27:1-12 |
ISSN: | 2317-1634 1413-3482 4202-0166 |
DOI: | 10.12820/rbafs.27e0255 |
Popis: | 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. |
Databáze: | OpenAIRE |
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