Donald Shoup is Distinguished Research Professor from the University of California, Los Angeles, whose 2005 book, The High Cost of Free Parking, is one the most influential pieces of planning scholarship from the 21st century.
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Area-Based Location Optimization: Urban Green Space Selection
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.
Suitability Analysis and Linear Optimization: Siting a New Transit Line
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.
Location Optimization
This course introduces the basic principles of location optimization models and provides a hands-on tutorial on point-based location optimization using QGIS and LINGO.
The Future of Cities After COVID-19
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.
Introduction to Urban Informatics
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.
Measuring Neighborhood Segregation and Diversity
This course reviews the various ways to measure both segregation and diversity at the neighborhood scale.
Tableau for Planners 3: Dashboards
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.
CityEngine for Planners 3: Integration and GIS
Learn how to import real-world data from satellite imagery and terrain to GIS data.
Tableau for Planners: Introduction
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 Street Network Analysis
In this course we will learn how to use Python to conduct street network analysis with the OSMnx package.
Python Geospatial Analysis and Mapping
Learn how to use Python to work with urban spatial data.
Python Data Analysis and Visualization
In this course we will learn how to use Python to conduct basic data analyses and create attractive visualizations.
Urban Design for Planners 3: Neighborhoods and Centers
This course demonstrates how to delineate neighborhoods and neighborhood centers in a given area and also illustrates a sample of neighborhood enhancing design improvements.
Urban Design for Planners 2: Getting Started with QGIS and SketchUp
Course instructor Emily Talen guides viewers through the process of transferring a shapefile of building outlines into SketchUp and processes of basic manipulation necessary to create a 3D model. Learn how to load data into QGIS, set the coordinate reference system, and change the graphic display of data layers.
Urban Design for Planners 1: Software Tools
Urban planners and urban designers are interested in building places that embody beauty and hope. In this course, Emily Talen, PhD, FAICP, presents free urban design software tools that can help urban planners and urban designers visualize changes in the built environment to support the overarching goal of creating better places.
Coding for Planners: Up and Running with Python
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.
Regional Planning Workflows in the UrbanSim Cloud Platform
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.
Introduction to the UrbanSim Cloud Platform
At the end of this course, participants will be acquainted with the UrbanSim forecasting methodology, understanding the features available in the UrbanSim Cloud Platform and the basics of an UrbanSim model at the Census block level.
Building a Transit Map Web App
This course examines the entire process of building an interactive, web-based mapping application.
Introduction to WebGIS
This course explains various Internet technologies commonly used to build web-based visualization applications with municipal data.
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