Doctoral Dissertation Research: Cognitive Agents and Pedestrian Redevelopment Modeling

博士论文研究：认知主体和行人重建模型

• 批准号: 1536327
• 负责人: Amy Lobben
• 金额: $ 1.56万
• 依托单位: University of Oregon Eugene
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-15 至 2017-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1536327&HistoricalAwards=false
• 关键词: Doctoral; Dissertation; Research; Cognitive; Agents

Cities across the country are trying to determine how to best deal with existing systems of transportation infrastructure while incorporating shifting views about public health, urban mobility, and environmental sustainability. In many locales, planners have proposed pedestrian-oriented redevelopment projects that would require a fundamental shift in the spatial organization of the city. This doctoral dissertation research project will enhance understanding of how structural changes to the urban environment would impact individual behaviors. The doctoral student will employ computational approaches to examine how individual perception and cognition of environmental features influences real-world decisions and behaviors. New insights will be provided regarding the theoretical and practical facets of urban behaviors via empirically driven cognitive models. The project will provide new information and insights for planners and policy makers, because it will address larger societal questions regarding the appropriate redesign of urban spaces in order to address larger environmental, economic, and public health issues. Findings of the project also will increase knowledge of how agent-based modeling can be used by the stakeholders and the public to evaluate the impacts of redevelopment on both individual citizens and the community at large. As a Doctoral Dissertation Research Improvement award, this award also will provide support to enable a promising student to establish a strong independent research career.This project will approach pedestrian-oriented redevelopment from a computational, human-centered perspective, which will offer new insights into the multiple ways designed space is perceived and how those perceptions are translated into individual spatial behaviors. Pedestrian-oriented redevelopment is often understood to be a simple, solution-based approach to address larger structural and social issues of the city. Transforming existing street infrastructure is not a straightforward process, however, because of embedded automobile-oriented perspectives. This project will focus on three core questions: (1) How can data about individual differences regarding environmental cognition be used in the development of a pedestrian movement model? (2) How does the development of agent cognition aid in the credibility of real-world pedestrian movement models? (3) What key design variables in urban redevelopment projects emerge from cognitively driven pedestrian movement models? The doctoral student will use data generated from psychometric tests of environmental cognition as he develops agent-based spatial models. The outputs of the models will provide new information regarding how small changes to the urban environment could impact real-world decision making and behaviors. Examining and modeling individual cognitive processes in urban spaces will provide a rigorous, data-driven approach to answer questions both about individual agency as well as about the structure of the planned urban environment.

全国各地的城市都在试图确定如何最好地处理现有的交通基础设施系统，同时纳入有关公共卫生，城市交通和环境可持续性的观点。 在许多地方，规划者提出了以城市为导向的重建项目，这将需要从根本上改变城市的空间组织。 这个博士论文研究项目将提高对城市环境结构变化如何影响个人行为的理解。 博士生将采用计算方法来研究个人对环境特征的感知和认知如何影响现实世界的决策和行为。 通过经验驱动的认知模型，将提供关于城市行为的理论和实践方面的新见解。 该项目将为规划者和政策制定者提供新的信息和见解，因为它将解决有关城市空间适当重新设计的更大的社会问题，以解决更大的环境，经济和公共卫生问题。 该项目的调查结果也将增加知识的利益相关者和公众如何使用基于代理的建模来评估重建对公民个人和整个社区的影响。 作为博士学位论文研究改进奖，该奖项还将为有前途的学生提供支持，使其能够建立强大的独立研究事业。该项目将从以人为本的计算视角出发，以人为本的角度探讨面向城市的再开发，这将为设计空间的多种感知方式以及这些感知如何转化为个人空间行为提供新的见解。 以行人为导向的重建通常被理解为一种简单的、基于解决方案的方法，以解决城市更大的结构和社会问题。 然而，改造现有的街道基础设施并不是一个简单的过程，因为嵌入式汽车导向的观点。 本项目将集中在三个核心问题：（1）如何将有关环境认知的个体差异的数据用于行人运动模型的开发？ (2)智能体认知的发展如何帮助真实世界行人运动模型的可信度？ (3)在城市重建项目中，认知驱动的行人运动模型会产生什么关键的设计变量？ 博士生将使用从环境认知的心理测试生成的数据，因为他开发基于代理的空间模型。 模型的输出将提供有关城市环境的微小变化如何影响现实世界决策和行为的新信息。 研究和建模城市空间中的个人认知过程将提供一种严格的，数据驱动的方法来回答有关个人机构以及规划的城市环境结构的问题。