Investigating the spatiotemporal dynamics of urban vitality using bicycle-sharing data

摘要: In recent decades, the availability of diverse location-based service (LBS) data has largely stimulated research in individual human mobility. However, less attention been paid on intra-city movement cyclists coupled with their spatiotemporal dynamics. To fill knowledge gap, drawing bicycle-sharing over one week Shanghai, China, this study investigates dynamics users at two spatial scales (i.e., city level and subdistrict level) explores interactions by those cyclists. At level, applying analysis variance (ANOVA) test Wilcoxon signed-rank test, examines temporal variation across a seven-day period. we develop new index to capture urban vitality using consideration trip flow allied weights. terms computed course day, 98 subdistricts are partitioned into 7 groups K-means clustering. addition, autocorrelation hot spot also applied examine features different periods. Our results reveal that an obvious character cluster feature varies markedly day. By shedding lights movement, argue our important informing planners how better allocate public facilities increase bicycle usage as way progress towards more sustainable areas.