• Login
    View Item 
    •   Home
    • Graduate Theses, Dissertations and Projects
    • Queen's Graduate Theses and Dissertations
    • View Item
    •   Home
    • Graduate Theses, Dissertations and Projects
    • Queen's Graduate Theses and Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Labour Geographies and the Digital Transformation of Work: Self-Employment, Collective Organizing, and the New York Taxi Workers Alliance

    Thumbnail
    View/Open
    Thesis Document (1.331Mb)
    Author
    Johnston, Hannah
    Metadata
    Show full item record
    Abstract
    Built around a collection of four manuscripts, this dissertation focuses on the collective organizing strategies of non-standard workers. Multiple chapters focus on a case study of the New York Taxi Workers Alliance, a union without collective bargaining rights, and its effort to improve working conditions in the for-hire transportation industry and to redistribute economic resources to drivers. Drawing on mixed methods including participant action research, interviews, and surveys, the research took place amidst industry transformation brought on by the introduction of app-based dispatching services, such as Uber and Lyft. Several of the manuscripts examine the effects that app-based dispatching services have on work quality, the for-hire vehicle industry generally, and on for-hire drivers’ collective organizing strategies. Engaging with disciplines including labour geographies and industrial relations, this dissertation presents local regulatory infrastructures as an adequate venue for traditional taxicab and app-based drivers to address their collective interests and to achieve enforceable improvements in working conditions and wages.
    URI for this record
    http://hdl.handle.net/1974/27968
    Collections
    • Department of Geography and Planning Graduate Theses
    • Queen's Graduate Theses and Dissertations
    Request an alternative format
    If you require this document in an alternate, accessible format, please contact the Queen's Adaptive Technology Centre

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us
    Theme by 
    Atmire NV
     

     

    Browse

    All of QSpaceCommunities & CollectionsPublished DatesAuthorsTitlesSubjectsTypesThis CollectionPublished DatesAuthorsTitlesSubjectsTypes

    My Account

    LoginRegister

    Statistics

    View Usage StatisticsView Google Analytics Statistics

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us
    Theme by 
    Atmire NV