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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.12
- 수록면
- 211 - 221 (11page)
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초록· 키워드
오류제보하기
The Korean government is putting a lot of effort into the spread of electric vehicles as a measure to reduce greenhouse gases. Electric vehicles are a cheaper means of transportation than gasoline vehicles, assuming long-term operation. Therefore, it is necessary to enable the active use of electric vehicles by the low-income class. However, it is expected that there will be differences in access to electric vehicle charging infrastructure according to income groups. Therefore, the purpose of this study is to analyze the spatial equity of the location of electric vehicle charging stations. The spatial scope of this study is Korea and the Seoul metropolitan area, and location data of electric vehicle charging stations and monthly average income data by dong were used for analysis. Moran"s I and Bivariate Moran"s I analysis were conducted. The results of this study are as follows. First, electric vehicle charging stations are spatially concentrated in a specific area. Second, there is a spatial autocorrelation between electric vehicle charging station location and regional income. Policy implications based on the research results are as follows. First, the public sector should consider spatial equity in the process of selecting a location for a charging station. Second, the concept of a vulnerable area for electric vehicle charging infrastructure should be introduced.
목차
Abstract
1. 서론
2. 이론적 배경
3. 연구의 틀
4. 분석결과
5. 결론
REFERENCES
참고문헌 (36)
참고문헌 신청
An, Y., Leem, Y., & Lee S. (2020), Spatial Equality of Firefighting Service in Daejeon Metropolitan City, Journal of the Korea Contents Association, 20(3), 560-571.
Anselin, L., (1995). Local Indicators of Spatial Association-LISA, Geographical Analysis, 27(2), 93-115.
AURIN, (2021), Retrieved February 10, 2021 from https://aurin.org.au/resources/workbench-user-guides/portal-user-guides/analysing-your-data/spatial-autocorrelation-tools/bivariate-morans-i/.
Biweekly Kea Energy Issues. (2020). Korea Energy Agency, n146, Accessed March 10, 2021, http://www.energy.or.kr/web/kem_home_new/energy_issue/mail_vol146/pdf/issue_249_02_01.pdf.
Cho, D. (2004). Economic Geography and GIS ; A Review of Evaluation Methods for Spatial Equity of Public Service Distributions, Journal of the Association of Korean Geographers, 48(0), 100-120.
Anselin, L., (1995). Local Indicators of Spatial Association-LISA, Geographical Analysis, 27(2), 93-115.
AURIN, (2021), Retrieved February 10, 2021 from https://aurin.org.au/resources/workbench-user-guides/portal-user-guides/analysing-your-data/spatial-autocorrelation-tools/bivariate-morans-i/.
Biweekly Kea Energy Issues. (2020). Korea Energy Agency, n146, Accessed March 10, 2021, http://www.energy.or.kr/web/kem_home_new/energy_issue/mail_vol146/pdf/issue_249_02_01.pdf.
Cho, D. (2004). Economic Geography and GIS ; A Review of Evaluation Methods for Spatial Equity of Public Service Distributions, Journal of the Association of Korean Geographers, 48(0), 100-120.
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