Browsing by Author "Crabtree, Shannon"

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    Those Who Need It Most: Maximizing Transit Accessibility and Removing Barriers to Employment in Areas of Concentrated Poverty
    (Center for Transportation Studies, University of Minnesota, 2019-03) Guthrie, Andrew; Fan, Yingling; Crabtree, Shannon; Burga, Fernando
    This research assesses the transportation assets and challenges faced by residents of Areas of Concentrated Poverty (ACPs), paying special attention to ACP50s—ACPs in which people of color comprise more than 50% of the population. The authors develop a graphically-facilitated survey blending multiple choice, free response, cognitive mapping and discussion questions to capture unmet transportation needs and user experience information difficult to gather in traditional travel behavior surveys. They find that participants’ activity spaces vary significantly based on car availability and local built form and that pedestrian environments around stops affect the experience of using transit in ACPs more strongly than transit service itself, leading to the conclusion that transit- and pedestrian-oriented community design is a significant equity issue.
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    Transit Service Frequency App: A Global Transit Innovations (GTI) Data System
    (Center for Transportation Studies, University of Minnesota, 2018-11) Fan, Yingling; Wiringa, Peter; Guthrie, Andrew; Ru, Jingyu; He, Tian; Kne, Len; Crabtree, Shannon
    The Transit Service Frequency App hosts stop- and alignment-level service frequency data from 559 transit providers around the globe who have published route and schedule data in the General Transit Feed Specification (GTFS) format through the TransitFeeds website, a global GTFS clearinghouse. Stop- and alignment-level service frequency is defined as the total number of transit routes and transit trips passing through a specific alignment segment or a specific stop location. Alignments are generalized and stops nearby stops aggregated. The app makes data easily accessible through visualization and download tools. It allows the user to identify stop and alignment frequency at thousands of locations around the globe, as well as export data for cross analysis using GIS technology.