In reference to the literature, García-Palomares, Gutiérrez, and Latorre (2012) who solved a similar problem, only the most applicable criteria pertaining to the city of Guelph are selected. These selections must be backed by relevant data, and intrinsically relate to the specific needs of the community. Each of these criteria will then be assigned a weight, based on their relative importance. With the help of GIS software, an MCE model will be used to compare the multiple layers of geo-spatial criteria and develop a suitability analysis for bike share programs in the city of Guelph. With the proper constraints and criteria, this analysis allows users to locate the optimal areas for bike share terminals within the city, ensuring maximum efficiency for commuters while also maintaining a cost-effective implementation strategy.
Objective 1: Define specific factors and variables that influence the locations of bike share terminals.
Objective 2: Develop a GIS-based MCE model using network analysis based on criteria identified in Objective 1.
Objective 3: Apply the GIS-based model to the City of Guelph to identify several optimal locations for bike terminals.
Objective 4: Evaluate the strengths and limitations of the model as it applies to the City of Guelph.