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This course discusses how the field of urban informatics works. You will also learn about the technologies and concepts influencing Urban Informatics, including "Big Data," machine learning, visualization, and data-driven decision making.
This course reviews the efficacy of regulatory strategies (such as prohibitions and mandates), pricing strategies (such as peak period pricing), and education and information strategies (such as real-time ride-hailing apps).
This course provides an overview and critique of the four-step model used in transportation planning. By the end of this course, viewers will be able to conceptualize how transportation models can address contemporary problems in transportation planning, such as transit-oriented development.
This course discusses the local and global impacts of transportation systems and the mitigation of those impacts. The course also identifies prospects for change, as achieved by technology, transportation management, and pricing.
By the end of this course, you will have a strong understanding of the way in which transportation systems interact with society and the economy.
This course discusses the process for making ethical decisions as part of planning for disruptive technologies.