## 5 Conclusions  
This study attempted to identify the factors influencing the EV charging demand. To this end, charging status data for each charger installed in two study regions, Jeju-do and Gangneung-si, Korea, were collected. Jeju-do is considered a successful case that promoted the use of EVs by investing heavily in constructing expanded charging infrastructure, whereas Gangneung-si is in a relatively early phase of the EV program. The focus of this study was to investigate the difference in charging patterns between regions within different phases of the EV program; therefore, we analyzed and compared the different charging patterns between these regions. Through descriptive statistical analysis of the collected charging data, this study revealed that the charging demand varied with charger characteristics over the selected study period. For example, the charging demand tended to be high in some facilities, such as government offices, because of their accessibility to the public. The results also showed that the charging demand for tourist facilities and accommodations tended to be high, particularly in regions with tourist attractions such as Gangneung-si. In addition, free parking appeared to attract more EV users to charge. Moreover, the charging demand was found to vary with the charging time. For example, the charging demand tended to be high between noon and evening in both study regions, and the charging demand was particularly high on weekends in Gangneung-si, potentially owing to the use of EVs for tourism. In this study, two binary logistic regression models were developed to identify the factors influencing the charging demand with a number of explanatory variables for charger characteristics and charging time. In terms of charger characteristics, people were more likely to charge their EVs at facilities with free parking. The facility type was another important factor influencing the charging demand, showing that the charging demand was high in some facilities such as government offices, where government EVs are operated, and public facilities with good accessibility to the public. The charging demand for tourist facilities and accommodations tended to be high, particularly in Gangneung-si, potentially owing to the use of EVs for tourism. The model results also suggested that the charging demand varied with the charging time. Specifically, the charging demand in Jeju-do was high on weekdays, whereas in Gangneung-si, it was high on weekends. The difference in the charging patterns between these regions may be attributed to the different travel behaviors in them. It is conjectured that EVs are mainly used for tourism in Gangneung-si, whereas EVs are used for a variety of activities in Jeju-do. This study is expected to add distinctive and comparative findings to the literature, providing a better understanding of EV charging behavior in different regions in different phases of EV programs. Specifically, the Z-score-based comparative analysis was effective in capturing different charging patterns from region to region, and this analytic approach is unique in the field of EV research. The findings of this study provide a meaningful policy implication that the charging demand may be concentrated at a specific time and in specific regions, suggesting that policymakers should implement proper measures to manage the dynamic charging demand. Specifically, the results of this study are expected to improve the understanding of temporal and spatial dynamic charging demand patterns, suggesting that it is necessary to adapt charging infrastructure to charging demands, by identifyingthe optimal charging locations, determining the appropriate charging equipment, and developing effective strategies for each phase of EV program. Admittedly, this study has some limitations.