Expanding the PeaceHealth Rides Bike-share Network
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Date
2020
Authors
Dawson, Heather
Kohler, Nicholas
Kurtz, Lindsey
Journal Title
Journal ISSN
Volume Title
Publisher
University of Oregon
Abstract
Students in the spring 2020 Advanced GIS course worked together with Lane Transit District to assess how bike-share coverage could be expanded to develop multimodal transit stops and provide greater public transportation opportunities for underserved areas and populations. The students worked independently using spatial datasets that reflected demand for bike-share expansion according to previous reports from the bike-share program and external research. While students based demand on a variety of different factors, the density of residential areas and businesses was a major component in these analyses. Students used map locations of the current LTD bus lines to prioritize the use of the bike-share system in conjunction with the bus system. Additionally, location and
route data from bike-share user history was included in many projects in order to reflect actual usage patterns.
The result of each analysis was a suitability map that visualized demand for bike-share station placement based on the specific parameters of each individual project. Demand for
station placement was assessed both within and outside of the bike-share program’s current operating zone, with some projects putting a focus on specific populations such as low-income and minority residents. The results of these individual analyses show demand for bike-share expansion across a number of different areas, with recommendations including increasing the station density within the current operating zone and adding
stations to multiple locations outside of the current operating zone. Areas that were revealed by several different analyses include the student housing areas around Autzen Stadium, the Gateway Mall area, and in west Eugene just beyond the current zone. Student projects covered a wide variety of perspectives within the overall goals, with the inclusion of different datasets demonstrating the scope of geospatial analysis in addressing questions of regional demand.
Description
89 pages