PURPOSES : This study aimed to develop a transportation-energy linkage model and performance evaluation indicators to improve the sustainability operation and technology of smart city transportation-energy services. METHODS : This study derived a new transportation-energy linkage system model for 15 services designated by the national pilot city. Evaluation indicators for energy-oriented transportation services in smart cities were selected, and a methodological framework was proposed for selecting quantitative evaluation indicators based on text mining and importance-performance analysis (IPA). RESULTS : Twenty indicators, confirmed as crucial for successful transportation-energy linkage in smart cities, were selected. These covered data linkage between services, IoT-based information linkage driving rate, and network and energy efficiency indicators. The proposed quantitative methodological framework can complement expert subjective evaluation by identifying meaningful implications in research literature that experts may have missed. The methodology can consistently derive indicators even when new services are added, aiding policymakers’ decisions. CONCLUSIONS : The methodological framework can contribute to minimizing operational risks in smart city transportation-energy expansion. It can also be used to prioritize service investment in smart cities by estimating benefit effects through quantitative indicators.

1. 연구배경 및 목적
2. 교통-에너지 연계 기능 도출
    2.1. 교통-에너지 레퍼런스 모델 자료 구성
    2.2. 스마트시티 내 교통-에너지 레퍼런스 모델 도출
    2.3. 스마트시티 내 교통-에너지 연계기능 도출
3. 평가지표 선정방법론
    3.1. 평가지표 선정방법론
    3.2. 데이터 수집 및 전처리
4. 스마트시티 교통 서비스별 최종지표 선정 기준과결과
    4.1. IPA(Importance Performance Analysis) 평가지표 점수 기준
    4.2. IPA(Importance-Performance Analysis)에 따른최종 지표선정 결과
5. 결론
REFERENCES

• 황보준(ITS Korea 공공지원본부 글로벌표준협력센터 과장) | Hwangbo Jun
• 김도경(서울시립대학교 교통공학과 교수) | Kim Do Gyeong (Professor Department of Transportation, College of Urban Science, University of Seoul, 163 seoulsiripdaero, Seoul 02504, Korea) Corresponding author