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A Study on the Relationship between Loading Work and Traffic Accidents

적재작업과 교통사고의 연관성에 관한 연구

  • Received : 2023.06.13
  • Accepted : 2023.06.26
  • Published : 2023.06.30

Abstract

Ensuring the safe arrival of delivery cargo at its intended destination is of utmost importance. Truck drivers play a crucial role in guaranteeing the secure delivery of cargo without any mishaps. However, there are various factors that may lead to delayed arrival of trucks at their destination, such as late departures or prolonged loading operations. The timely departure of cargo transportation is contingent upon several variables, including the driver's experience, cargo volume, and loading time. If the transportation commencement is delayed, it may increase the risk of accidents due to an elevated operating speed. Consequently, we conducted a study to investigate the correlation between cargo loading time, cargo volume, driving experience, and the likelihood of accidents. Our findings indicate that both cargo volume and driver experience can impact the likelihood of vehicle accidents. Furthermore, all factors can have an interactive effect on the occurrence of accidents. However, extending the loading time may mitigate the impact on the likelihood of accidents.

Keywords

Acknowledgement

본 논문은 2023년 우송대학교 교내 학술연구조성비 지원을 받아 수행된 연구임

References

  1. Korea Occupational Safety and Health Agency(2011), Safety guide for manual work. pp. 8-10.
  2. G. H. An, S. C. Rim(2013), Integrated workers operation model for the distribution centers of third party logistics service providers. Korean Institute of Industrial Engineers, pp. 623-630.
  3. E. C. Lim, D. W. Yang, C. S. Shin, C. B. Shim, J. H. Lee(2007), "Implementation of an efficient GPS based vehicle monitoring system for logistics shipping service." Proceedings of the Korea Contents Society General Academic Conference, 5(1):15-19.
  4. T. Lee, J. Keel, S. Jeon, J. Park, J. Lee, J. Hong(2011), "Effect of payload on fuel consumption and emission of light duty freight truck during acceleration driving." Transactions of KSAE, 19(2):131-141.
  5. J. Kim, H. Kim(2022), "Delivery truck loading optimization model considering product loading task difficulty and time." 2022 Spring Joint Academic Conference, Industrial Engineering Society of Korea, pp. 1975-1987.
  6. H. Kim, S. Jin(2023), "A Quantifying the load of courier worker delivery jobs." Journal of the Korean Society of Ergonomics, 4(1):29-37. https://doi.org/10.5143/JESK.2023.42.1.29
  7. T. H. Woo, J. H. Park, Y. W. Cho, K. M. Yang(2010), Design of experiments. Hyungseul Publisher, pp. 13-15.
  8. H. C. Kim(2009) Design of experiment with hangul minitab. Hanol Publisher, pp. 212-242.
  9. H. Baek, Y. Jeon(2021), "Health problems of delivery drivers, preventive measures and preventive measures." Industrial Health February issue, Korean Industrial Health Association, pp. 30-35.
  10. I. Park(2014), Operating hours and non-operating hours of general cargo owners. CN, http://www.cvinfo.com/news/articleView.html?idxno=3530
  11. Korea Transport Institute(2022), "2021 cargo transportation market trends second half report." 2021 Volume 2 Second half Volume 64, Korea Transport Institute, pp. 116-117.
  12. T. H. Woo, J. H. Park, Y. W. Cho, K. M. Yang(2010), Design of experiments. Hyungseul Publisher, pp. 297-308.
  13. S. W. Park(2010), "Analysis of motor carrier crash risk with driver hours of service." International Journal of Highway Engineering, 12(1):21-27.