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• W2940333410 abstract "After experiencing many years of shrinkage, bike mode share has enjoyed a large-scale renaissance since 2016 with the birth of dockless bikeshare. The rapid expansion of dockless bikeshare, however, is coincident with the serious oversupply of bikes and chaos of parking on the streets. Predicting the right level of dockless bike use is essential to maintain the order of the road space. This study aims to control the number of dockless public bikes in each neighborhood. With data obtained from a smartphone app, MoBike, this study examines factors associated with dockless bikeshare. A generalized additive mixed model is applied to investigate associations between dockless bike trip density and various factors. The results are: floor area ratio, which represents density, is positively associated with dockless bike trip density; percentages of residential, industrial, and green spaces, and degrees of mixed land use, are positively related to dockless bike trip density; densities of primary and secondary roads are positively related to dockless bike trip density, while the density of intersections is negatively associated with dockless bike trip density; females and children are less likely to ride dockless bikes; and dockless bikes are more often used during peak hours, on sunny or cloudy days, and on weekdays. To promote dockless bike use, the right level supply for different weather, time, and location conditions should be identified, encouraging dense urban development in establishing a friendly biking environment, and improving street connectivity to reduce the impedance of biking in intersection dense areas." @default.
• W2940333410 created "2019-04-25" @default.
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• W2940333410 date "2019-04-16" @default.
• W2940333410 modified "2023-09-27" @default.
• W2940333410 title "How to Make Dockless Bikeshare Good for Cities: Curbing Oversupplied Bikes" @default.
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• W2940333410 doi "https://doi.org/10.1177/0361198119837963" @default.
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