Data Structure ?
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Data Structure ?
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README.md
文脈
近年、自転車シェアリングシステムが人気の移動手段となっており、大都市圏の市民にグリーンで柔軟な交通手段を提供しています。世界各国の多くの政府は、これを多くの社会的利益をもたらす可能性のある革新的な戦略と見なしています。例えば、自動車の使用を減らし、それによって温室効果ガスの排出を削減し、都市中心部の交通渋滞を緩和することができます。
報告によると、ロンドン市民の77％が自転車が短距離移動の最速手段であると同意しています。長期的には、これはまた都市の平均寿命を伸ばすのにも役立つかもしれません。
詳細情報は私の[記事][1]をチェックしてください。
内容
2017年8月1日から9月13日までの36日間のロンドン自転車シェアリングシステムの利用記録が収集されました。この期間中、ロンドンの700以上の自転車駐輪場間で150万回以上の利用がありました。
謝辞
[ロンドン交通局（TfL）][2]に特別な感謝を表します。
インスピレーション
- [データ可視化][1]
- システム最適化
- 自転車の流動予測
[1]: https://towardsdatascience.com/visualizing-bike-mobility-in-london-using-interactive-maps-for-absolute-beginners-3b9f55ccb59
[2]: https://cycling.data.tfl.gov.uk/
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- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
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