Investigates the interaction between pedestrian activity, urban form, and land-use patterns in built environments.. Informed by recent literature on pedestrian behavior, subject takes a practical approach, using software tools and analysis methods to operationalize and model pedestrian activity over spatial networks. Uses simplified yet powerful and scalable network analysis methods that focus uniquely on pedestrians, rather than engaging in comprehensive travel demand modeling across all modes. Emphasizes not only modeling or predicting pedestrian activity in given built settings, but also analyzing and understanding how changes in the built environment — land use changes, density changes, and street design changes — can affect pedestrian activity.
Prerequisites
having previously taken a GIS course, a quantitative reasoning course, and an urban design course are encouraged, though not required. The course involves working with Rhino, Python, and GIS.
Can Be Repeated for Credit
Yes