了解城市交通和行人运动

Marija Bezbradica, H. Ruskin
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引用次数: 11

摘要

城市环境在不断扩大和变化,无论是在城市面积和每天通勤的人数方面,还是在个人流动选择的数量方面。城市布局和基础设施也在不断变化,受到短期和长期需求的影响。近年来,由于努力纳入“绿色”选项,使步行或骑自行车通勤等积极的生活方式选择成为可能,交通网络引起了特别关注。在本章中,我们探讨了行人的观点,在城市环境中熟悉和方便导航的辅助工具,以及个人交通新模式的影响(如智能城市自行车和电动滑板车等选项日益成为常态)。我们讨论了影响通往日常和休闲目的地(如学校、办公室、公园和娱乐场所)的快速交通的主要因素,以及那些有助于从这些地点快速疏散和大量人群移动的因素,这些地点的特点是高职业密度或吞吐量。本章的重点是通过基于智能体的建模范式来理解和表示行人行为,允许模拟具有主动环境意识的大量个人行为,并在真实的城市网络中模拟行人群体运动,以及拥堵和疏散模式的可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding Urban Mobility and Pedestrian Movement
Urban environments continue to expand and mutate, both in terms of size of urban area and number of people commuting daily as well as the number of options for personal mobility. City layouts and infrastructure also change constantly, subject to both short-term and long-term imperatives. Transportation networks have attracted particular attention in recent years, due to efforts to incorporate “green” options, enabling positive lifestyle choices such as walking or cycling commutes. In this chapter we explore the pedestrian viewpoint, aids to familiarity with and ease of navigation in the urban environment, and the impact of novel modes of individual transport (as options such as smart urban bicycles and electric scooters increasingly become the norm). We discuss principal factors influencing rapid transit to daily and leisure destinations, such as schools, offices, parks, and entertainment venues, but also those which facilitate rapid evacuation and movement of large crowds from these locations, characterized by high occupation density or throughput. The focus of the chapter is on understanding and representing pedestrian behavior through the agent-based modeling paradigm, allowing both large numbers of individual actions with active awareness of the environment to be simulated and pedestrian group movements to be modeled on real urban networks, together with congestion and evacuation pattern visualization.
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