Agent-based Models in Supporting Pedestrian Transportation Planning and Design

Nicholas A. Perdue
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Abstract

Agent-based models offer a new approach to understanding human-urban interactions in trans portation systems, allowing individual entities within a system to be characterized with cognitive and behavioral properties. This paper discussed the role of agent-based representations of pedestrian transportation systems, detailing the underlying assumptions and techniques behind different types of pedestrian models and illustrating the differences between aggregate and individual agent representations. It then turns attention to the case study and the development of a cognitive pe destrian model as a way to illustrate the spectrum of potential spatial behaviors that are enabled by material changes to the transportation network. The paper concludes with a discussion and specific frameworks for employing agent-based models to support transportation planning decisions. Cities across the country are struggling with how to best address a network of street infrastructure that in many ways opposes shifting views of public health, urban transportation, and environmental sustainability. Many scholars advocate for a “complete street” design that enables safe access for all modes of transportation, maintain-ing that inclusive changes to street infrastructure can address the spatial mismatches in contem-porary cities, while increasing the public safety and walkability of neighborhoods al. Schlossberg The design of walkable neighborhoods and pedestrian-oriented spaces are often portrayed as simple, solution-based approaches to redevelopment that can address myriad structural and social issues in the city 2012), and scholars emphasize deeper engagements between street infrastructure and human-scale pedestrian behaviors can form a strong theoretical foundation for more sustainable urban practices 2006). As the public becomes increasingly aware of walkability as a measure of urban health, scholars and practitioners are beginning to focus more attention on both the structural elements of pedestri-an-oriented design as well as the human experiences in practices of walking.
基于Agent的行人交通规划设计支持模型
基于主体的模型为理解交通系统中人与城市的相互作用提供了一种新的方法,允许系统内的个体实体具有认知和行为特性。本文讨论了基于智能体的行人交通系统表征的作用,详细介绍了不同类型行人模型背后的基本假设和技术,并说明了总体和个体智能体表征之间的差异。然后将注意力转向案例研究和认知行人模型的发展,作为一种说明交通网络材料变化所带来的潜在空间行为的方式。本文最后讨论了使用基于主体的模型来支持交通规划决策的具体框架。全国各地的城市都在为如何最好地解决街道基础设施网络而苦苦挣扎,这些基础设施在很多方面都反对人们对公共卫生、城市交通和环境可持续性的看法的转变。许多学者提倡“完整街道”设计,使所有交通方式都能安全通行,认为对街道基础设施的包容性改变可以解决当代城市的空间不匹配问题,同时增加社区的公共安全和步行性。Schlossberg可步行社区和步行导向空间的设计通常被描绘得很简单,基于解决方案的再开发方法可以解决城市中无数的结构和社会问题(2012),学者们强调街道基础设施和人类尺度的行人行为之间的更深层次的合作可以为更可持续的城市实践奠定坚实的理论基础(2006)。随着公众越来越意识到可步行性是衡量城市健康的一项指标,学者和实践者开始更多地关注以步行为导向的设计的结构要素以及步行实践中的人类体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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