Navigation apps and platforms do not just show information. They increasingly push recommendations and alerts, sometimes simple, sometimes personalized. This project studies how such information ultimately change how people choose where, when, and how to travel.

What you might work on.

You will start by defining measurable “information environments” and identifying patterns in how decisions shift when information change. From there, you can work on behavior models that capture key response mechanisms, and evaluate how different forms of pushed information may help, mislead, or create unintended outcomes when applied at scale.

Why it matters.

Information is becoming a policy lever. Understanding its effects is essential for designing guidance that improves efficiency without harming fairness, reliability, or trust.

Who we are looking for.

Students excited by behavioral modeling and real-world relevance. This project can be shaped toward theory, empirical analysis, or computational evaluation. Backgrounds in transportation, urban planning, economics, or data science can all be a good fit.