%0 Thesis %A Guo, Yuntao %D 2019 %T Leveraging Information Technologies and Policies to Influence Short- and Long-term Travel Decisions %U https://hammer.purdue.edu/articles/thesis/Leveraging_Information_Technologies_and_Policies_to_Influence_Short-_and_Long-term_Travel_Decisions/9118994 %R 10.25394/PGS.9118994.v1 %2 https://hammer.purdue.edu/ndownloader/files/16685195 %K Information technologies %K policy %K Gamification %K health behaviour change %K Migrant workers %K Motorcycles %K Civil Engineering not elsewhere classified %X
Growing automobile dependency and usage continue to exacerbate traffic congestion, air pollution, and physical inactivity in metropolitan areas. Extensive efforts have been made to leverage advanced technology and related policies to influence short- (within-day and day-to-day) and long-term (mobility and lifestyle) travel decisions to address these issues from the system operator and individual traveler perspectives. However, most studies have yet to address system operator and individual traveler needs together; provide sufficient understanding of the impacts of such technologies on safety and health; and consider the impacts of distinctive regional and political characteristics on responses to different policies among population subgroups.
This dissertation seeks to facilitate the leveraging of information technologies and related policies to influence short- and long-term travel decisions by: (1) developing a framework for apps that integrate augmented reality, gamification, and social component to influence travel decisions that address multiple user- and system-level goals, (2) understanding the safety and health impacts of these apps, (3) developing strategies to influence residential location decision-making to foster sustainable post-relocation travel behavior, (4) investigating the impacts of economic and legal policies on travel decisions by considering distinctive regional and political characteristics.
This dissertation can provide insights to system operators for designing a new generation of apps to dynamically manage traffic in real-time, promote long-term mode shifts from single-occupancy driving to carpooling, public transit use, walking and cycling, and address individual traveler needs. The dissertation also presents app mechanisms for providing feedback to legislators and app developers for designing policies and apps geared towards safe usage and promoting the physical and mental health of its users.
In addition, by considering the impacts of distinctive regional and political characteristics on population subgroups in terms of their responses to information technologies and economic and legal policies, additional measures can be deployed to support and facilitate the implementation of such technologies and policies.

%I Purdue University Graduate School