Through a humanist lens, this research aims to conceptualize a Mobility Data Justice (MDJ) framework that re-orients both GTFS open transit data (General Transit Feed Specification) and transit rider activists towards collaborative Mobility Data Justice tactics. Transit riders and activists, in the age of Uberfication, have to account for and navigate the dynamics of how Big Data and platform economies are not only augmenting but co-opting political decision-making processes about public transit policy, planning and investment. Building on mobility justice and data justice theorists, I examine how the GTFS open data ecosystem can be operationalized via justice ontologies to support active knowledge creation and collaborative, Mobility Data Justice tactics between transit riders, activists and software developers. By extending a MDJ approach to applications of GTFS, I argue for opportunities to re-orient mobility data and software systems so that they better prioritize epistemic justice outcomes centering and amplifying the demands of transit riders, particularly public bus riders.
| Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd2020-1531 |
| Date | 01 January 2021 |
| Creators | Moran, David |
| Publisher | STARS |
| Source Sets | University of Central Florida |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Electronic Theses and Dissertations, 2020- |
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