KSCE Journal of Civil and Environmental Engineering Research (대한토목학회논문집)

Korean Society of Civil Engeneers (대한토목학회)
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A Study on the Incentive Method for Inducing Safe Driving

안전운전 유도를 위한 인센티브 제공 방안 연구

  • 이인식 (아주대학교 교통공학과) ;
  • 장정아 (아주대학교 TOD기반 지속가능 도시교통연구센터) ;
  • 이원우 (한국도로공사 도로교통원구원) ;
  • 송재용 (아주대학교 교통공학과)
  • Received : 2023.01.06
  • Accepted : 2023.03.23
  • Published : 2023.08.01
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Abstract

Among the methods to improve traffic congestion by providing real-time traffic information and solving problems like traffic congestion and traffic crashes, private enterprise is implementing policies to lower insurance premiums like compensation for drivers' driving safety scores. Despite the emergence of various incentive policies, a study on the level of incentive payment for safe/eco-friendly driving is insufficient. The research analyzed the satisfactory factors that affect the scale of incentives through questionnaires and the applicable scale of incentives that enable safe/eco-friendly driving using a binary logistic regression model. As a result of analyzing the incentive scale of the appropriate payment amount for each driving score increase, 0.4% of the toll fee was derived when the driving score increased by 20 points, and 0.5% of the toll fee was derived when the driving score increased by 30 points. This study on calculating the appropriate incentive payment scale for driver information sharing and driving score increase will help optimize incentives and prepare system implementation plans.

교통 체증, 교통사고 증대 등의 문제를 해결하기 위한 다양한 접근법 중 하나로 실시간 교통정보 제공을 통해 운전자의 효율적 운전 의사결정을 지원하여 교통 혼잡 개선을 유도하고 있으며, 민간에서는 주행 안전점수에 대한 운전자 보상으로 보험료 할인 등의 정책을 펼치고 있다. 이처럼 안전/환경적 주행에 대해 인센티브 정책과 관련된 다양한 선순환적인 대안들이 대두되고 있음에도 불구하고 안전/환경적 운전 시 어느 정도 규모의 인센티브 지급이 적정한지와 관련된 연구는 부족한 실정이다. 이에 본 연구는 설문을 통해 어떠한 요인들이 인센티브 규모 만족 여부에 영향을 미치며, 안전/환경적 운전을 가능하게 하는 인센티브 적정 규모를 이항 로지스틱 회귀모형을 활용하여 분석하였다. 운전점수 상승폭별 적정 지급 규모의 인센티브 값을 분석한 결과, 운전점수 상승폭 20점차일 때는 통행료의 0.4%, 운전점수 상승폭 30점차일 때는 통행료의 0.5%가 도출되었다. 운전자의 정보 공유 및 운전점수 상승에 대한 적정 인센티브 지급 규모를 산정을 통해 인센티브 최적화 및 인센티브 제도 실행 방안 마련에 도움이 될 것으로 사료된다.

Keywords

Acknowledgement

본 연구는 국토교통부/국토교통과학기술진흥원의 지원(과제번호 RS-2022-00142565)으로 수행되었습니다.

References

  1. Bae, G. M. and Jeon, J. U. (2005). "A study on the insurance premium incentive system considering driver's traffic behavior." Transportation Technology and Policy, KST, Vol. 2, No. 2, pp. 204-222 (in Korean).
  2. Byun, B. S., Chae, E. J. and Pak, S. Y. (2014). "An analysis on the characteristics of energy consumption from the households in carbon point program and adequacy in standards for incentive offerings." Journal of Environmental Policy and Administration, KEI, Vol. 22, No. 1, pp. 95-112, https://doi.org/10.15301/jepa.2014.22.1.95 (in Korean).
  3. CLP Power HongKong Limited. (Accessed Jan. 4, 2023). Eco points, Hong Kong, Available at: https://www.clp.com.hk/en/residential/power-connect/earn-eco-points-rewards (Acccessed: December 27, 2022).
  4. Farmers Insurance Group. (2019). Getting Started with Signal®, United States of America, Available at: https://www.youtube.com/watch?v=Se2Qumfn6gU (Acccessed: December 27, 2022).
  5. Jeong, C. W. (2007). "A study on the influence factors of drowsiness driving through binary logistic regression analysis." The Journal of Police Policies, PSI, Vol. 21, pp. 46-69 (in Korean).
  6. Jeong, C. W. (2016). "A study on the administrative goal performance of incentive policy in traffic order administration." The Journal of Police Science, KNPU, Vol. 16, No. 3, pp. 125-139, https://doi.org/10.22816/polsci.2016.16.3.005 (in Korean).
  7. Kim, E. J., Bang, S. A. and Seo, E. S. (2019). "A study on factors influencing youth drinking using binomial logistic regression." Journal of the Korea Society of Computer and Information, KSCI, Vol. 24, No. 12, pp. 167-174, https://doi.org/10.9708/jksci.2019.24.12.167 (in Korean).
  8. Kim, S. H. and Jeong, G. H. (2018). "An analysis for influencing factors in purchasing electric vehicle using a binomial logistic regression model." KSCE Journal of Civil and Environmental Engineering Research, KSCE, Vol. 38, No. 6, pp. 887-894, https://doi.org/10.12652/Ksce.2018.38.6.0887 (in Korean).
  9. Korea Expressway Corporation. (2022). Truck rest-mileage system, Available at: https://www.ex.co.kr/site/com/pageProcess.do (Accessed: December 27, 2022) (in Korean).
  10. Korean National Police Agency. (2021). Good driving mileage, Available at: https://www.gov.kr/portal/service/serviceInfo/PTR000050215 (Acccessed: December 27, 2022) (in Korean).
  11. Loumidi, A. K., Mittag, S., Lathrop, W. B. and Althoff, F. (2011). "Eco-driving incentives in the North American market." Proceedings of the 3rd International Conference on Automotive User Interfaces and Interactive Vehicular Applications, ACM, Salzburg, Austria, pp. 185-192, https://doi.org/10.1145/2381416.2381446.
  12. Mehrolia, S., Alagarsamy, S. and Solaikutty, V. M. (2021). "Customers response to online food delivery services during COVID-19 outbreak using binary logistic regression." International Journal of Consumer Studies, Wiley, Vol. 45, No. 3, pp. 396-408, https://doi.org/10.1111/ijcs.12630.
  13. Metropolitan Transport Commission. (2020). Wide-area affordable transportation card, Available at: http://www.molit.go.kr/mtc/USR/BORD0201/m_36981/DTL.jsp?id=mtc0301&mode=view&idx=45 (Acccessed: December 27, 2022) (in Korean).
  14. Ntanos, S., Kyriakopoulos, G., Chalikias, M., Arabatzis, G. and Skordoulis, M. (2018). "Public perceptions and willingness to pay for renewable energy: a case study from Greece." Sustainability, MDPI, Vol. 10, No. 3, p. 687, https://doi.org/10.3390/su10030687.
  15. Tamakloe, R., Das, S., Aidoo, E. N. and Park, D. (2022). "Factors affecting motorcycle crash casualty severity at signalized and non-signalized intersections in Ghana: insights from a data mining and binary logit regression approach." Accident Analysis & Prevention, Elsevier, Vol. 165, 106517, https://doi.org/10.1016/j.aap.2021.106517.