在城市中基于矢量的行人导航
Christian Bongiorno1,2, Yulun Zhou1,3, Marta Kryven4
1Senseable City Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.
Nature computational science
|January 13, 2024
概括
随着距离的增加,行人会偏离最短的路线,而路径的方向显著影响选择. 一个新的基于矢量导航模型可以更好地预测城市环境中的人类路径规划.
科学领域:
- 城市规划是城市规划.
- 人类流动性 人类流动性
- 计算社会科学 计算社会科学
背景情况:
- 了解城市环境中的行人导航对于城市规划和运输至关重要.
- 以前的研究依赖于受控实验,缺乏真实世界的移动数据洞察力.
研究的目的:
- 分析城市街道网络中的人类路径规划,使用现实世界的GPS数据.
- 为了确定影响行人路线选择的关键因素,超越最短的距离.
主要方法:
- 对来自美国两个主要城市的GPS跟踪数据集进行统计分析.
- 开发和测试一种新的基于矢量导航模型 ("最准的路径").
主要成果:
- 随着出发目的地距离的增加,行人越来越多地偏离最短的路径.
- 当起点和目的地相反时,路径选择显著不同.
- "最尖的路径"模型在统计学上优于随机效应的最短路径模型.
结论:
- 向目标的方向是人类路径规划的主要驱动力.
- 基于矢量导航似乎是跨不同城市网络的人类路径规划的普遍属性.
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