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Understanding Mobility and Active Transportation in Urban Areas Through Crowdsourced Movement Data

Abstract Factors that explain human mobility and active transportation include built environment and infrastructure features, though few studies incorporate specific geographic detail into examinations of mobility. Little is understood, for example, about the specific paths people take in urban areas or the influence of neighborhoods on their activity. Detailed analysis of human activity has been limited by the sampling strategies employed by conventional data sources. New crowdsourced datasets, or data gathered from smartphone applications, present an opportunity to examine factors that influence human activity in ways that have not been possible before; they typically contain more detail and are gathered more frequently than conventional sources. ... (more)
Created Date 2018
Contributor Conrow, Lindsey (Author) / Wentz, Elizabeth A (Advisor) / Nelson, Trisalyn (Committee member) / Mooney, Sian (Committee member) / Pettit, Christopher (Committee member) / Arizona State University (Publisher)
Subject Geographic information science and geodesy / Crowdsourced data / GIScience / Urban mobility
Type Doctoral Dissertation
Extent 124 pages
Language English
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Geography 2018
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis