The Effect Mechanism of Privacy Control on Passengers’ Participation in Ridesharing

Abstract

Ridesharing is beneficial to both passengers and drivers. However, the growth of AI and big data analytics and identification information collection in ridesharing may lead to privacy issues and further affect users’ participation. A qualitative study was conducted to explore perceived risks and benefits, and the role of privacy control playing in ridesharing. Security and convenience, identity theft, financial costs, and unauthorized secondary use were found as first-order factors of perceived benefits and perceived risks, respectively. Information gathering and handling control were found to be the two dimensions of privacy control affecting perceptions of passengers differently