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A review of the use of geosocial media data in agent-based models for studying urban systems

机译:基于代理的学习城市系统模型中的地理社会媒体数据使用述评

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Since the rapid growth of urban populations, the study of urban systems has gained considerable attention from researchers, decision makers, governments, and organizations. Urban systems are complex and dynamic such that they produce emergent patterns such as self-organization and nonlinearity. Agent-based modelling presents an approach to simulating and abstracting urban systems to reveal and study emergent patterns from urban-related entities. However, agent-based models are difficult to effectively optimize and validate without high quality real-world data. Geosocial media data provides agent-based models with location-enabled data at high volumes and frequencies. Integrating agent-based models with geosocial media data presents opportunities in advancing and developing studies in urban systems. This paper provides a general overview of concepts, review of recent applications, and discussion of challenges and opportunities in the context of using geosocial media data in agent-based models for urban systems. We argue that ABMs focused on studying urban systems can benefit greatly from geosocial media data, given that research moves towards standard guidelines that enable the comparison and effective use of ABMs, and geosocial media data under appropriate circumstances and applications.
机译:自从城市群体的快速增长以来,城市系统的研究已经获得了研究人员,决策者,政府和组织的相当大。城市系统是复杂的和动态,使得它们产生自组织和非线性等紧急模式。基于代理的建模介绍了一种模拟和抽象城市系统的方法,以揭示和研究城市相关实体的紧急模式。然而,基于代理的模型难以有效地优化和验证,而无需高质量的现实数据。地理社会媒体数据提供基于代理的模型,具有高卷和频率的启用位置的数据。将基于代理的模型与地理社会媒体数据集成,为城市系统的推进和发展研究提供了机会。本文概述了概念,审查最近应用程序的审查,以及在使用基于代理的城市系统模型中使用地理社会媒体数据的挑战和机遇的讨论。我们认为,鉴于研究在标准指导方针,可以从地理社会媒体数据中获得高度学习城市系统的ABMS可以大大受益于能够在适当的情况和应用程序下进行比较和有效地使用ABM和地理社会媒体数据的标准指南。

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