Authors: Miles Huskey*, Metropolitan State College of Denver
Topics: Transportation Geography, Urban Geography, Geographic Information Science and Systems
Keywords: Denver, cycling, transportation
Session Type: Poster
Start / End Time: 3:20 PM / 4:35 PM
Room: Virtual Track 3
Presentation File: No File Uploaded
Using over 1700 responses from a 2019 survey on campus-wide transportation methods, this project focuses on finding ‘roadblocks’ in cycling commutes between the respondents’ zip codes and the Auraria Campus. The most common responses concerning difficulty in cycling to and from campus were a lack of proper cycling infrastructure (the presence of bike lanes, protected or not, lighting, etc) and elevation. ArcGIS was used to process the data and complete street data (includes all user tags) from OpenStreetMap was used to generate a network dataset. Elevation was added as a network attribute by twice extracting elevation values to the street vertices, calculating the slope between the start and end points, and using a VB script to give ranked values along four (4) sections (0-3%, 3.1-6%, 6.1-8%, above 8.1%). Also using a VB script in an attribute evaluator, preference was given in inverse order to speed limit with higher preference to streets with lower speed limits. The results of this project will serve the first goal of the Auraria Sustainable Campus Program (ASCP) by guiding the Auraria community toward existing, safe cycling routes and illustrating locations where Denver County can create or improve upon cycling infrastructure.