1st International ICST Workshop on Computational Transportation Science

Research Article

GPS Use by Households: Early Indicators of Privacy Preferences Regarding Ubiquitous Mobility Information Access

  • @INPROCEEDINGS{10.4108/ICST.MOBIQUITOUS2008.3826,
        author={Caitlin Cottrill and Piyushimita Thakuriah (Vonu)},
        title={GPS Use by Households: Early Indicators of Privacy Preferences Regarding Ubiquitous Mobility Information Access},
        proceedings={1st International ICST Workshop on Computational Transportation Science},
        publisher={ACM},
        proceedings_a={IWCTS},
        year={2010},
        month={5},
        keywords={Privacy Vehicle Infrastructure Integration ubiquitous locationbased mobility access systems GPS household travel survey},
        doi={10.4108/ICST.MOBIQUITOUS2008.3826}
    }
    
  • Caitlin Cottrill
    Piyushimita Thakuriah (Vonu)
    Year: 2010
    GPS Use by Households: Early Indicators of Privacy Preferences Regarding Ubiquitous Mobility Information Access
    IWCTS
    ICST
    DOI: 10.4108/ICST.MOBIQUITOUS2008.3826
Caitlin Cottrill1,*, Piyushimita Thakuriah (Vonu)1,*
  • 1: University of Illinois at Chicago, 412 S. Peoria St., Suite 340 CUPPA Hall, Chicago, Illinois 60607 USA. +1-312-996-4820
*Contact email: ccottr2@uic.edu, vonu-pt@uic.edu

Abstract

Privacy is a major policy factor in the deployment of Vehicle Infrastructure Integration and other ubiquitous location-based mobility access systems, yet the full benefits of many such systems will be obtained only after significant deployment of the necessary technologies. In order to address privacy concerns and build solutions that reflect users’ privacy preferences, it is necessary to identify factors that affect user’s privacy preferences. Using a household travel survey that also instruments a sub-sample of households with vehicle-based or portable GPS devices, we develop econometric models of privacy propensities of households as a function of their sociodemographics, trip-making behavior, location and other factors. The results provide insights into factors that might serve as barriers into the early adoption of these technologies.