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基于注意力的运动行为的微观建模。

Microscopic modeling of attention-based movement behaviors.

作者信息

Li Danrui, Schwartz Mathew, Sohn Samuel S, Yoon Sejong, Pavlovic Vladimir, Kapadia Mubbasir

机构信息

Rutgers, the State University of New Jersey, 110 Frelinghuysen Rd, Piscataway, 08854, NJ, USA.

The College of New Jersey, 2000 Pennington Road Ewing, 08628, NJ, USA.

出版信息

Transp Res Part C Emerg Technol. 2024 May;162. doi: 10.1016/j.trc.2024.104583.

DOI:10.1016/j.trc.2024.104583
PMID:40851774
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12369593/
Abstract

For transportation hubs, leveraging pedestrian flows for commercial activities presents an effective strategy for funding maintenance and infrastructure improvements. However, this introduces new challenges, as consumer behaviors can disrupt pedestrian flow and efficiency. To optimize both retail potential and pedestrian efficiency, careful strategic planning in store layout and facility dimensions was done by expert judgement due to the complexity in pedestrian dynamics in the retail areas of transportation hubs. This paper introduces an attention-based movement model to simulate these dynamics. By simulating retail potential of an area through the duration of visual attention it receives, and pedestrian efficiency via speed loss in pedestrian walking behaviors, the study further explores how design features can influence the retail potential and pedestrian efficiency in a bi-directional corridor inside a transportation hub.

摘要

对于交通枢纽而言，利用人流开展商业活动是为维护和基础设施改善筹集资金的有效策略。然而，这带来了新的挑战，因为消费者行为可能会扰乱人流和效率。由于交通枢纽零售区域行人动态的复杂性，为了优化零售潜力和行人效率，通过专家判断对店铺布局和设施尺寸进行了精心的战略规划。本文引入了一种基于注意力的运动模型来模拟这些动态。通过模拟一个区域在其接收的视觉注意力持续时间内的零售潜力，以及通过行人行走行为中的速度损失来模拟行人效率，该研究进一步探讨了设计特征如何在交通枢纽内的双向走廊中对零售潜力和行人效率产生双向影响。

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