United States Department of Transportation
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How Vehicle Connectivity Based Eco-Routing Choices Will Impact on Driver Decision Making
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2022-08-01
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[PDF-3.70 MB]
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Edition:Final Report (Jan 2019 – Aug 2022)
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Abstract:The eco-routing navigation system has become a promising application to reduce fuel consumption by optimizing driving routes recommendation through energy efficiency prioritization instead of sole travel time or distance minimization. Current studies paid limited efforts to investigate whether and why drivers will choose and comply with an eco-route recommendation by eco-routing navigation systems, as well as the potential impact of drivers’ habitual route choice on their decision-making. To fill this research gap, a field test was conducted from May to June 2019 in Ann Arbor, MI. Forty-three participants were recruited to receive an Android phone pre-installed with an eco-routing navigation application specifically developed for this study. In two weeks, drivers were instructed to interact with the application by completing a route-choice survey and selecting from recommended driving routes prior to the beginning of some of their driving trips. Data analyses were conducted to examine drivers’ route choices and compliance behavior when interacting with this eco-routing application, including mixed-effect logistic regression models to explore the impacting factors on the eco-routing choice and compliance, a multi-label random forests (MLRF) model to predict route choice behavior, and a mixed-effect beta regression model to examine the effect of habit on route choice following the framework of Triandis's Theory of Interpersonal Behavior (TIB). To summarize, it was observed that drivers chose the eco-routing approximately 78.6% of all the selected routes in this study. They were more likely to select the eco route when the trip had shorter distance and/or higher gas consumption per mile.
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