The aim of this study was to describe environmental factors that motivate public park use according to users’ sociodemographic characteristics. A cross-sectional study was carried out in 2014/2015 in a park in the city of Florianopolis, Brazil. A face-to-face interview was performed, including sociodemographic data and environmental factors that stimulate park use. Descriptive analysis, chi-square and Z-tests were used to compare the proportions between groups, adopting a significance level of p < 0,05. The sample included 377 park users, aged 18 years or older (59.7% women). The architectural beauty of structures, geographic location, technological factors, normative policies, values and attitudes were reported as the main factors that motivate park use (p < 0.05). The presence of equipment and public programs in parks were more frequently mentioned as motivational factors for park use among women than men (p < 0.05). Architectural structures and notice boards and posters had higher proportions among users who had an elementary and high school level (p < 0.05). In conclusion, the existing environmental factors seem to have an impact on the motivation for park use, changing according to users’ sociodemographic aspects.
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.
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