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Community-wide adoption of sustainable travel modes such as transit, walking, and biking can alleviate congestion and emissions while improving air quality and public health. However, promoting these modes in the U.S. is challenging due to the high reliance on personal vehicles, which contribute $260 billion annually in social costs. Information about health and environmental externalities of personal vehicle usage is often unavailable to travelers at the time of decision-making. This study explores whether mobile app-based information provision about the health and environmental benefits of sustainable modes can meaningfully change traveler preferences. In a sample of 3,470 U.S. car users aged 55 years and under, balanced by gender, income, and census regions, this study tested the effectiveness of information provision over a 90-day summer season, targeting bus transit, walking, and biking. Results show that participants who received information on environmental benefits related to emission reductions were four times more likely to choose bus transit, while those informed about active health benefits related to calories burned were nearly seven times more likely to choose walking, compared to the control group. However, due to barriers such as safety concerns and lack of infrastructure, health and environmental information was not effective at promoting biking. The results may be scalable to a large segment of travelers in the U.S., but the study did not test the effectiveness of these interventions for travelers 55 and over due to sampling limitations. Low-cost mobile app-based implementation strategies for possible deployment of these interventions in U.S. communities are discussed. 

Penalty-based strategies, such as congestion pricing, have been employed to improve traffic network efficiency, but they face criticism for their negative impact on users and equity concerns. Collaborative routing, which allows users to negotiate route choices, offers a solution that considers individual heterogeneity. Personalized incentives can encourage such collaboration and are more politically acceptable than penalties. This study proposes a collaborative routing strategy that uses personalized incentives to guide users towards desired traffic states while promoting multidimensional equity. Three equity dimensions are considered: accessibility equity (equal access to jobs, services, and education), inclusion equity (route suggestions and incentives that do not favor specific users), and utility equity (envy-free solutions where no user feels others have more valuable incentives). The strategy prioritizes equitable access to societal services and activities, ensuring accessibility equity in routing solutions. Inclusion equity is maintained through non-negative incentives that consider user heterogeneity without excluding anyone. An envy-free compensation mechanism achieves utility equity by eliminating envy over incentive-route bundles. A constrained traffic assignment (CTA) formulation and consensus optimization variant are then devised to break down the centralized problem into smaller, manageable parts and a decentralized algorithm is developed for scalability in large transportation networks and user populations. Numerical studies investigate the model's enhancement of equity dimensions and the impact of hyperparameters on system objective tradeoffs and demonstrate the algorithm convergence.