User Satisfaction Classification and Service Optimization of Electric Vehicle Charging Stations: An Empirical Study Based on Amap Data

2025-01-8115

To be published on 04/01/2025

Event
WCX SAE World Congress Experience
Authors Abstract
Content
With the rapid expansion of the electric vehicle (EV) market, enhancing charging infrastructure and service quality has become critical in shaping the overall user experience. User satisfaction with charging station services plays a crucial role in promoting the widespread adoption of electric vehicles. Ensuring that users have access to reliable, fast, and convenient charging services is essential for the growth and success of the EV market. This study focuses on the Guangzhou Panyu District, where user data on charging station experiences was collected from the Amap API platform. The data includes users' comments, satisfaction scores, and charging station locations, providing valuable insights into the experiences of EV users across various equipment suppliers. By leveraging user reviews and satisfaction ratings, we applied a combination of Significance Testing in Linear Regression and K-means Clustering Analysis to quantify and categorize user satisfaction with charging station services. The analysis reveals several critical areas for improvement. First, optimizing the layout of charging stations is necessary to address supply shortages in certain areas of Guangzhou Panyu District. A more efficient distribution of charging stations can help reduce overcrowding and ensure users have convenient access to charging facilities. Second, increasing charging speeds by upgrading grid infrastructure and implementing fast-charging technology can significantly reduce waiting times, further improving the user experience. Third, providing multiple convenient payment options, such as mobile payments and credit cards, while ensuring transparent charging fees, will enhance the overall ease of use for consumers. This research offers actionable recommendations for service providers and policymakers, aimed at enhancing the convenience and quality of EV charging infrastructure. By focusing on user feedback and addressing key pain points, these improvements will ultimately lead to higher satisfaction among EV users and encourage further adoption of electric vehicles.
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Citation
Guo, H., Ou, S., Jing, H., Qi, H. et al., "User Satisfaction Classification and Service Optimization of Electric Vehicle Charging Stations: An Empirical Study Based on Amap Data," SAE Technical Paper 2025-01-8115, 2025, .
Additional Details
Publisher
Published
To be published on Apr 1, 2025
Product Code
2025-01-8115
Content Type
Technical Paper
Language
English