Ultimately, my goal is to use these insights to provide data-driven policy prescriptions. By understanding how passengers behave in real-world scenarios, policymakers and companies can design more effective strategies for pricing, service delivery, customer relations, and even addressing issues like the gender pay gap in the gig economy, which involves passenger-driver interactions. My work has enabled policymakers to use real-life data to better address societal issues, including those related to transportation and consumer behavior.
In essence, this book explains passenger psychology in behavioral economics by rigorously testing economic theories and behavioral hypotheses in the "dirty" but realistic environment of actual passenger experiences, using randomization to isolate causal effects and uncover the underlying mechanisms of decision-making. This approach moves beyond theoretical assumptions to provide actionable insights based on how people truly behave when travelin
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