Free curb parking in a crowded city presents a classic common problem: no one owns it and everyone can use it.
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Location-allocation problems involve locating supply sites and simultaneously allocating demand to those sites so the entire system is optimized. With this course, you will learn the basic principles of the coverage and location-allocation problems and be able to solve them using LINGO software and map the results in QGIS.
This course applies suitability analysis techniques and least-cost path analysis—which optimizes routes on linear features—to planning for and siting a new transit line.
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 explores the characteristics and the challenges of smart cities, as well as the potential opportunities for a smart cities approach within the urban design and urban planning fields. This course also discusses the drivers and the essential technologies in a smart city.
Learn how to use Census.gov and American FactFinder websites, which are the principal portals to Census Bureau data products and maps.
This course will expand on the Tableau for Planners: Introduction and Worksheets. Students will have prior experience will building basic tables and will start to use Tableau to build multi-worksheet dashboards with interactive controls like filtering. Students will also learn how to make the data used in their visualization accessible to the public. At the end of the course, we will demonstrate how to publish the work to Tableau Public and embed dashboards on websites and in social media.
This course will expand on the Tableau for Planners: Introduction course. This course continues to train the planner on how to build effective worksheets for planners. This course will introduce general principles of data visualization and orient the user with the Tableau platform, with a primary focus on Tableau Public, a free version of Tableau's desktop software.
This course will introduce general principles of data visualization and orient the user with the Tableau platform. Learn how to connect to a data set in Microsoft Excel, understand general principles of a relational database, and start building basic worksheets and dashboards.
Python is one of the world’s most popular programming languages, particularly among beginners, thanks to its clear and straightforward syntax. It is also one of the most widely used languages for data science.
This course reviews the basic land use forecasting workflows that can be completed using the UrbanSim Cloud Platform, as illustrated by a set of case studies.
This course examines how input-output models contribute to economic impact analyses and presents examples of how economic impact analysis can be applied in a wide range of planning projects.
This course provides examples of how to calculate market and non-market values of parks, trails, and open space, as well as how to identify potential revenue-generating opportunities for long-term maintenance and operation.
Network Analysis helps urban planners, designers, and policy makers explore the dynamics and complexities of social networks and organizations. This course demonstrates the ways you can use the open-source Gephi software to visualize and analyze online social networks.
Planners play a crucial role in making housing more affordable and livable. In this course, you will learn about basic market principles, how to judge housing needs, and how to meet that housing need through affordable housing—all the data and analysis skills needed to estimate housing needs.
Economic data is all around us. When we buy coffee or go to the movies, each of those actions involve an economic exchange or a trade of resources. This course teaches Microsoft Excel in applying the concepts of economics to the work of planners. By discussing data analysis techniques, such as sector analysis and economic base calculation with location quotient, you will gain the skills to work with economic data and become a more informed participant in the economic marketplace.