본문 바로가기
KERD
논문KCI 등재

충남지역 사망·중상 교통사고 발생 영향요인 및 위험지역 분석

Analysis of Influencing Factors and Dangerous Areas of Death and Serious Traffic Accidents in Chungnam Province

0

조회

0

다운로드

0

인용

0

참고문헌

키워드

초록

충남은 사망교통사고 관련 지표수준이 낮은 지역 중 하나이며, 이는 도내의 질병 외 급성심장정지 발생에도 영향을 미쳤다. 본 연구에서는 충남에서 발생한 사망·중상 교통사고 영향요인을 분석하고, 교통사고특성이 반영된 위험지역을 파악하고자 하였다. 도로교통공단에서 제공하는 TAAS를 활용하여 충남지역에서 2018년부터 2022년까지 발생한 교통사고 자료를 분석하였다. 해당 자료에 대해 R ver.4.1.1을 이용하여 로지스틱 회귀분석과 군집분석을 시행하였다. 분석결과, 충남의 사망·중상 교통사고는 야간, 고령층, 가해차량이 화물차, 피해차량이 이륜차 또는 농기계, 피해운전자가 보행자인 경우 특히 발생 가능성이높았다. 또한, 사망·중상 교통사고 위험지역으로 판단한 군집4에 포함된 지역별로 교통사고의 발생 특성이 다르게 나타났다. 본 연구의 결과는 지자체의 교통사고 예방·관리 정책의 기초자료로서 활용할 수있을 것으로 기대된다.

Abstract

Chungnam is one of the regions with low levels of fatal traffic accidents indicators, which also affected the incidence of acute cardiac arrest stemming from non-illness causes. This study aims to scrutinize the determinants influencing fatalities and severe traffic accidents in Chungnam, pinpointing hazardous zones reflective of accident patterns. Traffic accident data from 2018 to 2022 in Chungnam were analyzed using the traffic accident analysis system (TAAS) provided by the Korea Road Traffic Authority. The analysis revealed that fatalities and severe traffic accidents in Chungnam were more prone to occur during nighttime, involving elderly individuals, with the offending vehicle typically being a truck and the victim’s vehicle often a two-wheeled vehicle or agricultural machinery. Furthermore, pedestrian casualties were frequently observed among the damaged drivers. Additionally, the characteristics of traffic accidents varied across different regions categorized under cluster 4, identified as hazardous areas. These findings are expected to be used as basic data for local governments' traffic accident prevention and management policies.

참고문헌 (25)

  1. Barnard, Ed B. G., "Prehospital Determinants of Successful Resuscitation after Traumatic and Non-traumatic Out-of-hospital Cardiac Arrest", Emergency Medicine Journal, 36, pp.1~7 (2019)
  2. "Chungnam Province Traffic Deaths Lowest Ever" (2023)[URL]
  3. Han, Su Cheol, "Clustering Korean Professional Basketball Players by Using k-Medoids Clustering", Journal of the Korean Data Analysis Society, 10(6), pp.3423~3433 (2008)
  4. Hwang, Yeong Eun, "Influencing Factors of Pedestrian Traffic Accident for Junior and Senior in Daegu", Journal of the Korean Data Analysis Society, 25(3), pp.923~936 (2023)
  5. Jin, Seo Hoon, "On the Assessment of Validity and Stability in Cluster Analysis", Journal of the Korean Data Analysis Society, 7(5), pp.1509~1515 (2005)
  6. Jin, Su In, "Effects of Built Environmental Factors on Traffic Accidents of the Elderly Pedestrians : Focused on Traffic Accident Hotspots in Daegu", Journal of Daegu Gyeongbuk Studies, 21(1), pp.91~107 (2022)
  7. Comparative Analysis and Implications of Traffic Accidents in Urban and Rural Areas, "Jung, Yong Il", Chungbuk Research Institute, ~ (2020)
  8. Incidences of Out-of-hospital Sudden Cardiac Arrest in the Republic of Korea, 2021, "Kim, Ji Su", 3007~3013, pp.Public Health Weekly Report 15(51) (2022)
  9. Kim, Kyung Bum, "A Comparative Study on the Accident Characteristics of the Elderly According to the Urban-Rural Complex Area and Regional Types", Journal of the Korea Academia-Industrial Cooperation Society, 18(7), pp.224~236 (2017)
  10. Kim, Seung Hoon, "Elderly Driver-involved Crash Analysis and Crash Data Policy", The Journal of The Korea Institute of Intelligent Transport Systems, 21(5), pp.90~102 (2022)
  11. Kim, Tae Wan, "Factors Affecting Spatial Clustering in Pedestrian Collisions Involving the Elderly", Journal of Korea Planning Association, 57(2), pp.61~79 (2022)
  12. Kim, Yoon Yong, "Analysis of Risk Factors for Traffic Accidents in Daegu Area", Journal of the Korean Data and Information Science Society, 31(3), pp.503~510 (2020)
  13. Korea Disease Control and Prevention Agency, "2022 Acute Cardiac Arrest Survey Statistics", ~ (2023)
  14. "Day and Night, and Traffic Accidents" (2017)[URL]
  15. Korea Road Traffic Authority, "Statistical Analysis of Traffic Accidents in 2021", ~ (2022)
  16. "A Traffic Accident Per 100,000 People" (2023)[URL]
  17. Korea Road Traffic Authority, "Comparison of Traffic Accidents in OECD Member Countries", ~ (2023)
  18. "Detailed Statistics on Traffic Accidents" (2023)[URL]
  19. "Introduction of TAAS" (2023)[URL]
  20. Korea Road Traffic Authority, "Statistical Analysis of Traffic Accidents in 2022", ~ (2022)
  21. "Resident Registration Population by Administrative District/5 years Old" (2024)[URL]
  22. Lee, Ho Jun, "Comparative Analysis of Machine Learning Models for the Prediction of Pedestrian Crash Severity : Focused on Balancing Pedestrian Crash Dataset", Journal of Korean Society for Geospatial Information Science, 29(2), pp.3~15 (2021)
  23. Ministry of Land, Infrastructure and Transport, "Measures to Reduce the Number of Deaths in Traffic Accidents in 2023", ~ (2023)
  24. Park, Soo Kyung, "Categorization of Long Term Care Hospital in Korea Using Cluster Analysis", Public Health Affairs, 3, pp.71~81 (2019)
  25. Yang, Kwang Sik, "The Comparative Analysis of Determinants Affecting Elderly Pedestrian Fatal Crash in Urban and Rural Areas : Focused on Choongnam Providence", Journal of the Korean Regional Development Association, 33(3), pp.77~94 (2021)

관련 논문AI추천

이 간행물의 다른 논문 (11건)