ev charging data

This dataset contains raw survey responses collected from 103 electric vehicle (EV) users in Türkiye, focusing on their experiences at roadside restaurants integrated with EV charging infrastructure. The data was gathered via an online questionnaire to examine the relationships between service environment cues and behavioral intentions during time-locked charging breaks.

The dataset includes item-level responses for the following constructs:

Dinescape Perceptions: Evaluations of the restaurant’s physical environment (ambience, aesthetics, layout).

Charging Infrastructure Perceptions: Evaluations regarding the convenience, accessibility, and integration of the on-site charging facilities.

Perceived Value: The users' assessment of the trade-off between benefits and costs (time/money) during the stop.

Behavioral Intentions: Intentions to revisit, recommend the location, and plan routes around the restaurant.

The file also contains basic demographic profile data (e.g., age, education) and EV usage characteristics (e.g., ownership duration, long-distance trip frequency). All personal identifiers have been removed to ensure participant anonymity. This dataset supports the findings presented in the associated research article regarding the distinct roles of infrastructure and dinescape in shaping EV users' stop choices and value perceptions.

File format: .xlsx (Microsoft Excel)