| Title |
An Analysis for Influencing Factors in Purchasing Electric Vehicle using a Binomial Logistic Regression Model (Focused on Suwon City) |
| Authors |
김숙희(Kim, Sukhee) ; 정가형(Jeong, Gahyung) |
| DOI |
https://doi.org/10.12652/Ksce.2018.38.6.0887 |
| Keywords |
전기차;전기차 활성화;전기차 구매요인;이항로지스틱 회귀분석;수원시 전기차 Electric vehicle;Spreading electric vehicles;Purchasing factor;Binomial logistic regression;Electric vehicle in suwon |
| Abstract |
An electric vehicle is emerging as an alternative to the response of global climate change and sustainability. However, an Electric vehicle has not been popular due to the constraints such as its price or technical limitations. In order to analyze the effect of purchasing electric vehicles, this study conducted a binary logistic regression model that demonstrates the relation between purchasing and influencing variables. Variables which have high correlation were excluded from the model through the correlation analysis to prevent multicollinearity. Socio-economic variables such as the number of owned vehicles, sex, ages are not significant. On the other hand, Variables related to prices, charging and policy are found to have a significant to effect on the purchase of electric vehicles. In accordance with the model estimated result, it seems to be necessary to improve the charging incentives, or to provide electric car information and to expand opportunities for experience electric vehicles. The result is also expected to be helpful for spreading electric vehicles and formulating policies. |