Extreme low temperature has various effects on society. It has negative impacts on health, industry, agriculture, and transportation during winter season. Therefore, extreme low temperature is recognized as main factor that causing traffic accidents. This study analyzed the relationship between low temperature and traffic accidents from 2012 to 2018. This study also compared the differences in vulnerability to low temperature between urban and rural areas. Generalized Additive Model (GAM) and Poisson regression model are used to estimate the thresholds and the level of traffic accidents. The results show that the thresholds tend to be decreased gradually, but the level of traffic accidents are more likely to increase in both urban and rural areas Comparatively, rural areas are more vulnerable to traffic accident caused by drop in temperature than urban areas.

Abstract
1. 서론
2. 연구자료 및 방법
    1) 연구자료
    2) 일반화가법모형(Generalized AdditiveModel, GAM)
3. 연구결과
    1) 교통사고 기초통계 분석
    2) 일 최저기온과 교통사고 간의 관계 분석
    3) 임계온도에서의 기온 하강에 따른 교통사고증가수준 분석
4. 결론
References

• 최연우(연세대학교 도시공학과) | Yeon-Woo Choi (Department of Urban Planning and Engineering, Yonsei University)
• 윤동근(연세대학교 도시공학과) | Dong Keun Yoon (Department of Urban Planning and Engineering, Yonsei University) Correspondence