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Analysis of Traffic Characteristics of General National Roads by Snowfall in Gangwon-do

강원도에서 적설에 의한 일반국도 교통 특성 분석

  • Jo, Eun Su (High Impact Weather Research Department, National Institute of Meteorological Sciences) ;
  • Kwon, Tae-Yong (Department of Atmospheric Environmental Sciences, Gangneung-Wonju National University) ;
  • Kim, Hyunuk (High Impact Weather Research Department, National Institute of Meteorological Sciences) ;
  • Kim, Kyu Rang (High Impact Weather Research Department, National Institute of Meteorological Sciences) ;
  • Kim, Seung Bum (High Impact Weather Research Department, National Institute of Meteorological Sciences)
  • 조은수 (국립기상과학원 재해기상연구부) ;
  • 권태영 (강릉원주대학교 대기환경과학과) ;
  • 김현욱 (국립기상과학원 재해기상연구부) ;
  • 김규랑 (국립기상과학원 재해기상연구부) ;
  • 김승범 (국립기상과학원 재해기상연구부)
  • Received : 2021.01.05
  • Accepted : 2021.04.06
  • Published : 2021.06.30

Abstract

To investigate the effect of snowfall on the traffic of general roads in Gangwon-do, case analysis was performed in Gangneung, Pyeongchang, and Chuncheon using ASOS (Automated Synoptic Observing System) snowfall data and VDS (Vehicle Detector System) traffic data. First, we analyzed how much the traffic volume and speed decrease in snowfall cases on regional roads compared to non-snow cases, and the characteristics of monthly reduction due to snowfall were investigated. In addition, Pearson correlation analysis and regression analysis were performed to quantitatively grasp the effect of snowfall on traffic volume and speed, and sensitivity tests for snowfall intensity and cumulative snowfall were performed. The results showed that the amount of snowfall caused decrease both in the traffic volume and speed from usual (non-snowfall) condition. However, the trend was different by region: The decrease rate in traffic volume was in the order of Gangneung (17~22%), Chuncheon (14~17%), and Pyeongchang (11~14%). The decrease rate in traffic speed was in the order of Chuncheon (9~10%), Gangneung (8~9%), Pyeongchang (5~6%). No significant results were found in the monthly decrease rate analysis. In all regions, traffic volume and speed showed a negative correlation with snowfall. It was confirmed that the greater the amount of traffic entering the road, the greater the slope of the trend line indicating the change in snowfall due to the traffic volume. As a result of the sensitivity test for snowfall intensity and cumulative snowfall, the snowfall information at intervals of 6-hours was the most significant.

Keywords

Acknowledgement

이 연구는 기상청 국립기상과학원 「기상업무지원기술개발연구」 "생명·농림기상 지원 및 활용연구(KMA2018-00620)"의 지원과 부분적으로 2019년도 강릉원주대학교 전임교원 연구년 지원으로 수행되었습니다.

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