Abstract

IMSEP: Using ArcGIS and Multiple Regression to Predict Transit Ridership
Track: Transportation
Authors: Marc Gauthier

The Integrated Mode Share Estimation Platform (IMSEP) assumes the role as an embedded tool in the planning workflow for expedited transportation ridership prediction and mode share analysis. The tool was created as an extension for ArcGIS 10.1 using Python Add-Ins. We take advantage of core GIS functions in our analysis and utilize geospatial databases for data storage; while the central analytical engine was built based on leading research on connections between observed travel behavior, land use and urban design. The tool takes into account the direct and derivative attribute or indicator values for any given catchment area around a transportation hub. Through parameter and model adjustments, the IMSEP allows for the modifications to underlying attribute and indicator values, which subsequently produce alternative transit ridership and mode share estimations. The audience will learn about transportation, neighbourhood design attribute indicators and the use of Python to create add-ins for ArcGIS.