Plug-in electric vehicles (PEVs) engage drivers in an essential new behavior-plugging the car into the electrical grid to charge the vehicles' batteries. Broadly, it has been assumed that (1) away-from-home charging is necessary to grow the PEV market and (2) if away-from-home charging infrastructure is in place and PEV drivers know of it, they will perceive opportunities to charge. The experiences of early PEV drivers cause us to rethink at least the second of these assumptions. Drivers report a lack of what they call "etiquette," i.e., rules to guide their behavior and their expectations of how they and other PEV drivers ought to behave in these new social interactions. PEV drivers want widely shared, understood, and practiced guidelines to feel comfortable and confident in charging their vehicles away from home. This study uses inductive thematic analysis of transcripts of interviews of 28 PEV driving households conducted in San Diego County, California in spring, 2012. Themes about etiquette emerged within two types of away from home charging. First, public chargers (available to any PEV driver) were the sites of situations in which drivers' perceived a lack of rules or conflicts between different systems of rules; both were described as inhibiting use of public chargers. Second, workplace charging (typically available only to employees of the entity where the charger is located) adds an additional layer of rules and possibly resources that may either inhibit or encourage PEV charging by employees. As PEV markets and charger networks grow, charging will be shaped by additional systems of rules and regulations, e.g., those governing financial transactions. Our results suggest that absent efforts to help PEV drivers develop, learn, and practice the new rules, they may create as much uncertainty as guidance.
|Number of pages||9|
|Journal||Transportation Research Part A: Policy and Practice|
|Publication status||Published - 1 Aug 2013|
- Electric vehicle
ASJC Scopus subject areas
- Civil and Structural Engineering
- Management Science and Operations Research