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• W4293196912 abstract "In the post-epidemic era, the demand for shared bike cycling will continue to grow as the economic life and epidemic prevention become normal. In order to improve the efficient and dynamic management of biking sharing and give full play to its function in city transportation, the paper makes a space-time analysis and visualization of the cycling characteristics with the help of cycling big data, statistical methods and ArcMap software, and explores the demand features in different functional zones through in-depth analyzing of cycling traffics in hot spot areas. Research shows that the shared bike cycling is featured with obvious temporal and spatial patterns. Firstly, there is a huge difference on workdays and rest days. The total cycling volume on workdays is much higher than that of rest days, and the hourly cycling change curve takes on M-shape distribution and shows distinct morning and evening peaks. Secondly, hot cycling spots on workdays mainly cover business zones such as Financial Street, Guomao CBD, Zhongguancun Science Park and subway stations near large business zones and residential zones. Thirdly, different cycling and parking patterns are found in these three functional zones, namely, business zones, residential zones, and public transportation hubs. Fourthly, though the activity of bike sharing decreased during the epidemic, yet the one-way cycling distance increased, leading to the rise of the business operation cost. Therefore, programming model based on big data should be built and full consideration of shared bike travel in related programme should be given. Governments and enterprises should cooperate to build a comprehensive transport capacity guarantee platform and industry supervision platform for public travel, so as to plan and coordinate urban travel resources, provide reasonable guidance on healthy travel for residents, and perform efficient and dynamic management to bike sharing." @default.
• W4293196912 created "2022-08-27" @default.
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• W4293196912 date "2022-01-01" @default.
• W4293196912 modified "2023-09-23" @default.
• W4293196912 title "Temporal and Spatial Distribution Characteristics of Shared Bike Cycling and Recommendation on Its Development in Post-epidemic Era" @default.
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• W4293196912 doi "https://doi.org/10.1007/978-981-19-2259-6_93" @default.
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