[논문]플랫폼 기반 배달 이륜차 교통사고 영향요인 분석

이상준; 박준태

doi:10.14346/jkosos.2022.37.1.70

플랫폼 기반 배달 이륜차 교통사고 영향요인 분석
Analysis on Factors Contributing to Motorcycle Accidents of Food Delivery Riders 원문보기

한국안전학회지 = Journal of the Korean Society of Safety, v.37 no.1, 2022년, pp.70 - 77

이상준 (서울연구원 교통시스템연구실) , 박준태 (한국교통대학교 교통대학원)

Abstract ▼ AI-Helper

The total number of Korean restaurants using delivery applications has substantially increased from 7.6% in 2018 to 11.2% in 2019. In 2020, the gross sales in the food delivery service market reached approximately 17 trillion won; this amount is virtually six times that in 2017 (i.e., 2 trillion won). Meanwhile, the annual average death toll of motorcycle riders increased by 3.5%, whereas the number of deaths due to other traffic accidents decreased by 8.2%. Consequently, the foregoing has become a critical social problem. Despite the continuing increase in the number of delivery riders due to the rapid expansion of the delivery industry, no appropriate safety management system has been established. Moreover, the government is experiencing difficulties in assessing the exact situation because of the absence of competent authority. In this study, fundamental data on the characteristics of delivery work and motorcycle accidents were collected through surveys and interviews; then, the influencing factors of traffic accidents were analyzed. Different influencing factors were identified: work experience as a rider; number of deliveries; whether to accept delivery requests in transit; manner of accepting delivery requests; and traffic law violations, such as speeding (for faster delivery) and running a red light. Because the motorcycle delivery industry has a relatively low job-entry barrier (i.e., special qualifications are not required), the riding skills of riders must be improved, and delivery companies must be technically developed to achieve a safe working environment. The results of this study can be utilized as fundamental data for system development or structural improvement of the delivery industry.

주제어

표/그림 (16)

표 Table 1. Survey of motorcycle-riding food delivery riders
표 Table 2. ANOVA Test on differences in the number of delivery platforms or agencies riders make a contract with according to work experience
표 Table 3. ANOVA Test on daily average working hours and the number of deliveries according to work experience
표 Table 4. ANOVA Test on differences in daily average working hours and the number of deliveries
그림 Fig. 1. Result of classification analysis.
그림 Fig. 2. The annual average number of accidents by work experience.
표 Table 5. Survey result on rider's experience of accident and the number of accidents
표 Table 6. Chi-Square Tests on rider's experience of accident (over the past 1 year)
표 Table 7. ANOVA Test on differences in the annual average number of accidents by work experience
표 Table 8. Correlation analysis results on rider's age and the number of accidents
표 Table 10. Chi-Square(X²) Test
표 Table 9. Risk of classification
표 Table 11. Goodnessof fit test for poisson distribution
표 Table 12. Definition of variables
표 Table 13. Goodness of fit
표 Table 14. Result of parameter estimates

참고문헌 (11)

Statistics Korea, https://kostat.go.kr
Korea Rooad Traffic Authority, https://www.koroad.or.kr
J. H. Jang, "Research on Local Protection measures for the Vulnerable : Focusing on Food Delivery Riders in Seoul", FKTU Research Center, 2019.
Y. A. Kim, "Impact of Expansion of Delivery Applications on Employment", Korea Labor Institue, 2019.
J. H. Byun, B. Y. Jeong and M. H. Park, "Characteristics of Motorcycle Accidents of Food Delivery Workers", Journal of the Ergonomics Society of Korea, Vol. 36, No. 2, pp. 157-168, 2017.
T. Allen, S. Newstead, M. G. Lenne, R. McClure, P. Hillard, M. Symmons and L. Day, "Contributing Factors to Motorcycle Injury Crashes in Victoria, Australia", Transportation Research Part F : Traffic Psychology and Behaviour, Vol. 45, pp. 157-168, 2017.

상세보기
J. H. Ham, H. J. Jung and S. Y. Choi, "A Study on the Characteristics of Delivery Incident and Social Insurance and Accident Insurance", The Journal of Humanities and Social Science, Vol. 9, No. 4, pp. 1557-1572, 2018.
Presidential Committee on the Fourth Industrial Revolution, "Measures to Enhance the Safety Net for Delivery Riders", Press Release, 2019.
Foodservice Industrial Skills Council, "Assessment on the Food Delivery Industry and Working Environment of Food Deliver Riders", 2019.
H. C. Kwak, J. Y. Song, I. M. Lee and J. Lee, "Macro-level Accident Prediction Model using Mobile Phone Data", J. Korean Soc. Saf., Vol. 33, No. 4, pp. 98-104, 2018.
S. J. Lee, "A Study on Factors that Influence Traffic Accident Severity in Road Surface Freezing", J. Korean Soc. Saf., Vol. 32, No. 6, pp. 150-156, 2017.

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