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Jun, 2023
使用聚类技术分析出租车数据,了解芝加哥的人类移动模式
Understanding human mobility patterns in Chicago: an analysis of taxi data using clustering techniques
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Harish Chauhan, Nikunj Gupta, Zoe Haskell-Craig
TL;DR
该研究通过分析2016年芝加哥的出租车数据,以理解街区之间的相互联系,提出新的公共交通开发建议,并生成交通流的可视化图表,以加强城市的设计和规划。
Abstract
Understanding
human mobility patterns
is important in applications as diverse as urban planning, public health, and political organizing. One rich source of data on human mobility is
taxi ride data
. Using the cit
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