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Redesign of Curricula in Transit Systems Planning to Meet Data-Driven Challenges

机译:在运输系统中重新设计课程计划,计划满足数据驱动的挑战

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As our society and technology change the way we use and perceive public transit systems, contemporary professionals need to be equipped with the skills to manage transportation systems to keep up with modern demands and challenges. Information Communication Technologies and data ubiquity represent great potential advances in transport systems; however, the challenge of transferring the knowledge from research and academia remains a significant barrier. This paper contributes to the literature in two ways: it serves as a benchmark of the challenges in transit systems planning education today, and it is a reference guide for future educators to find resources to create and refine effective educational programs in this area. A case study of a sample teaching module for transit systems planning in the Greater Toronto Area is presented with guidelines to teach 1) models of data-driven flexible transit services; 2) technologies to integrate and visualize user and systems data; and 3) methodologies to evaluate demand for such services at a societal level.
机译:由于我们的社会和技术改变了我们使用和感知公共交通系统的方式,当代专业人士需要配备管理运输系统以跟上现代需求和挑战的技能。信息通信技术和数据无处不在运输系统中的巨大潜在进步;然而,从研究和学术界转移知识的挑战仍然是一个重要的障碍。本文有助于两种方式有助于以下方式:它是当今过境系统规划教育挑战的基准,是未来教育工作者的参考指南,以便在该地区创造和改进有效的教育计划。案例研究了大多雅地区的过境系统规划示例教学模块,提出了教学1)模型的数据驱动灵活的过境服务模型; 2)集成和可视化用户和系统数据的技术; 3)在社会层面评估此类服务需求的方法。

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