United States Department of Transportation
i
Tracking Bicyclists' Route Choices, Case Study : The Ohio State University
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2017-08-01
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[PDF-3.22 MB]
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NTL Classification:NTL-PEDESTRIAN AND BICYCLES-PEDESTRIAN AND BICYCLES;NTL-PLANNING AND POLICY-PLANNING AND POLICY;
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Abstract:Bicycles have low access costs and moderate travel speeds, reduce congestion, help protect the environment and bring many health benefits (Clifton & Akar, 2009). Within these considerations, several researchers have explored the factors associated with bicycling choice to understand the needs of bicyclists and increase bicycle mode share. Existing literature identified socio-demographics, built environment, road conditions and land-use patterns as factors associated with bicycling choice in general (Pucher et al., 2011; Dill and Carr, 2003). Among these, presence of bicycle facilities, motor vehicle traffic characteristics, surface quality, and neighboring land-uses are cited as factors affecting bicycling route choices (Broach et al. 2012). There is increasing interest among colleges and universities in ways to reduce local congestion and contributions to green house gases, and provide leadership in sustainable transportation. This study brings these two emerging areas together: analyzing campus transportation patterns and identifying the factors associated with bicycle trip generation and bicycle route choices using state-of-the-art data collection techniques at a large university campus, the Ohio State University (OSU). The origins, destinations and routes of bicycle trips are collected through a cell phone app: CycleTracks. This app is developed by the San Francisco County Transit Authority (SFCTA) to collect data on users' bicycle trip routes and times, and display maps of their rides using smartphone Global Positioning System (GPS). This study has two major components: (1) an online survey with questions on bicycling decisions and personal attitudes associated with those decisions, and (2) collecting bicycle trip data (origins, destinations and routes) using a cell phone app (CycleTracks) and route choice analyses.
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