Canada-Wide Ban on Menthol Cigarettes  

Heat Loss Images, Norm Appeals Raise Impacts in Medicine Hat  

A Randomized Controlled Trial tested the impacts of providing consumers, on their monthly utility bills, with high-resolution infrared images of their houses, information about their heat loss relative to their neighbors, and estimated savings from improving their home’s insulation and air tightness. This treatment was twice as effective as a traditional Home Energy Report (HER) treatment. This demonstrates the power of visual cues that help make the intangible more vivid, concrete, and actionable. This case study also illustrates how norm appeals can backfire when descriptive norms are provided to those who are already doing “better” than most, without also providing an affirming injunctive norm. Designated a Landmark case study in 2020.

Seattle’s Just One Trip Phase II  

Just One Trip Phase II illustrates the use of Propensity Modelling / Predictive Analysis, Street Ambassadors, Quality Online User Experience (UX), and trip planning to reduce the proportion of single-occupant car trips in Seattle WA, USA. It engaged over 21,000 people and on average participants reduced four drive-alone trips per week per person.

City of Austin’s Leave Time Travel Incentive  

The City of Austin reduced employee commute travel by one million vehicle miles within six months of making its Leave Time Reward (LTR) a permanent incentive. During this period, the percentage of drive-alone trips fell from 53% to 41%. Attribution of these impacts to the City’s time off incentive policy is strengthened because that policy was introduced in the pilot study, then withdrawn after the pilot, then later reintroduced for the permanent program (Reversal Design.)

Way to Go Durham  

This case study covers the formative research and pilot testing of the City of Durham’s Way to Go program with City staff and local university students. It illustrates the value of A/B testing and Randomized Control Trials for evaluating alternative program tactics. It exemplifies the effective use of personalized commute plans distributed en-masse and shows that they can have a substantial impact on travel behavior, even with no added incentives.