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Exploring the Relationship Among Transportation and Health Determinants in Diverse Geographic Settings

thesis
posted on 21.04.2022, 18:58 by Lisa Lorena Losada RojasLisa Lorena Losada Rojas

  

Transportation and health are undeniably related. Transportation and its relationship with health are widely recognized as facing unique challenges in different geographic settings. However, research to date has mainly focused on understanding this relationship in urban areas. Remarkably, the importance of promoting physical activity through active travel (i.e., walking, biking, transit) is understudied in places other than urban areas. Increasing awareness regarding the ability of one's surroundings to encourage or inhibit active travel is critical to preparing us for the transformation of transportation habits. This issue takes on added significance considering telecommuting and the advent of autonomous vehicles.

The overall goal of this dissertation is to examine the complex relationship between transportation and transport-related health determinants in diverse geographical settings (i.e., urban core, suburban, large rural towns, and rural areas) from an active travel perspective. To that end, four interdependent studies were conducted to address the following research questions: (i) Do the relationships among built environment, access to infrastructure, and physical activity differ across diverse geographic settings? (ii) What is the relationship among car usage, self-perceived health, and physical activity in rural areas? (iii) Which are the most significant pathways in the association between transportation and health in rural areas? (iv) What are the potential public health implications of adopting Autonomous Vehicles (AVs) in urban areas?

First, the differences between various geographic settings regarding the built environment, access to infrastructure, and physical activity levels were assessed using individual-level data in the contiguous U.S. This dissertation employed behavioral science techniques (Structural Equation Modeling – Multi-group Analysis) to estimate how statistical constructs varied across multiple geographic settings. This dissertation concluded that the possibility of being physically active through active transportation, facilitated by the built environment and access, does not decrease linearly with the level of rurality defined in this study. Isolated Rural areas’-built environments and access to infrastructure were usually negatively associated with physical activity levels. This conclusion called for a deep analysis of rural areas regarding their ability to promote active travel.

This dissertation studied rural areas' physical activity and its connection with socioeconomic determinants, perceived health, and car usage. Given that this relationship is described as non-linear, using statistical techniques such as path analysis allowed quantifying the direct and indirect effects among variables. This study concluded that high car usage and poor self-perceived health are mediators of physical activity levels. Therefore, efforts from both the transportation and health domain need to promote active travel in rural areas.

Informed by transportation and health literature review, a conceptual framework was created by considering socioeconomic, personal, and physical transport-related health determinants. Structural equation models helped elucidate the complex relationships among determinants. The model results confirmed significant pathways among the various transport-related health determinants; hence comprehensive solutions need to be contemplated in future interventions to promote active travel. Interventions such as town center revitalization, heavy transit investments, and better broadband access that facilitate technology-enabled mobility services could significantly impact health outcomes in rural areas. Completing this objective fulfilled a pronounced research gap that has only been addressed using qualitative research. 

Finally, this dissertation examines how access to technologies, such as AVs, could impact the urban settings’-built environment and its potential to promote or inhibit active travel. Two urban settings were used as a case study since urban areas might be the first to experience this technology's deployment. This dissertation used cluster analysis and ordered probit models to understand AV adopters' individual and location-based characteristics. Our results suggest that AV implementation based only on the propensity to adopt might have adverse health outcomes (i.e., obesity). This dissertation points out the need for place-based interventions to enhance active travel and decrease the "obesogenic" environment that could arise in the AV era. 

Overall, we conclude that transportation's impact on public health cannot be seen as a "one exposure- one outcome- one solution" approach, and all-inclusive planning is needed to generate changes and prepare for transportation innovations to come. This dissertation proposed the ABC PATH framework that offers guidance to improve the population's health from transport-related changes comprehensively. The results of this research can help different organizations, such as planning organizations and rural health associations, advance communities' health through transportation.

Funding

Center for Connected and Automated Vehicles

Bilsland Dissertation Fellowship

History

Degree Type

Doctor of Philosophy

Department

Civil Engineering

Campus location

West Lafayette

Advisor/Supervisor/Committee Chair

Konstantina (Nadia) Gkritza

Additional Committee Member 2

Brigitte S Waldorf

Additional Committee Member 3

Jon D. Fricker

Additional Committee Member 4

Jorge A Banda

Additional Committee Member 5

V. Dimitra Pyrialakou