For the purpose of a spatially more detailed analysis of the subset of data, I secluded trips per travel mode for Comox Street – the greenway corridor – as well as Barclay Street - another neighbourhood street located parallel to the greenway corridor. There is no public transit servicing these streets. To perform a spatial selection of these trips, I used a Python2.7 script (modified, original script developed by Jana Hirsch, Centre for Hip Health and Mobility) in ArcMap10.1 to convert the geometry of all trip data from points to polylines. Then I identified trips that used the greenway (and Barclay Street), and those that did not. To do this, I applied a 50 m rounded buffer to the Comox-Helmcken Greenway and segments of Barclay Street, and overlaid this with the trip routes. I looked specifically for all car, walking, and cycling trips that included travel on the current extent of the Comox-Helmcken Greenway, as well as segments of Barclay Street (900-2100 block) for the purpose of reporting on geospatial statistics and percentage of mode share. The spatial seclusion will also aid in identifying potential changes in the route choice among our study participants living close to the greenway corridor (see Figure 2).