Discover hundreds of high-quality urban planning video courses.
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.
By the end of this course you will understand the basic principles of area-based location optimization and be able to solve the knapsack, threshold, and shape problems using LINGO software. The course also shows how to map the results of these skills 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 virtual panel discussion focuses on the potential for the COVID-19 pandemic to influence the development, demographic, and environmental trends of the future. Speakers: Allison Arieff, William Fulton, Scott Frazier, and Mariela Alfonzo. Moderator: James Brasuell.
Learn why city planning is crucial to the urban future and why the success of future cities will depend on the extent to which they are sustainable, equitable, and how they use technology to serve citizens. Evaluate the key challenges facing cities in the future and, importantly, potential solutions for those challenges.
Survey the key economic, environmental, sociopolitical, and technological shifts responsible for the evolution of city planning from 1980 to contemporary times. Assess historical urban planning movements through a critical lens, as course instructor Jason Luger discusses the relevance of past successes and failures for cities today.
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.
This course explains the major forms of planning applicable to transportation, including rational comprehensive planning, strategic planning, policy analysis, incremental planning, advocacy planning, and communicative planning.
This course explains the menu of contemporary approaches to modifying or adding to transportation capacity. It provides examples of capacity responses to regional mobility for commuters and local accessibility for communities.
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.
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 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.