Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
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A Study of the Travel Factors of Truck for the Low Emission Zone

차량 운행제한 지역 설정을 위한 화물자동차 통행요인 분석

  • Hahn, Jin-Seok (Division of Atmospheric Environment, Korea Environment Institute)
  • 한진석 (한국환경정책.평가연구원 대기환경연구실)
  • Received : 2021.02.16
  • Accepted : 2021.06.04
  • Published : 2021.06.30
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Abstract

This study examined how the emissions of pollutants affect the volume of traffic of freight vehicles in the transport sector. Multiple regression analysis was conducted considering several variables, including population by region, area of urban district, GDP, and the number of businesses by industry, e.g., agriculture, forestry, fishery, manufacturing, wholesale, and retail. These variables differ according to the characteristics of the freight vehicles (industry, by the ton). Therefore, it is essential to fully consider the volume of traffic of the specific freight vehicles by region before implementing relevant programs and policies, such as specific restrictions on the operation of vehicles. Some specific areas, in which logistic centers are located have heavy freight traffic, and these centers deserve extra consideration. Thus, in this study, different regional factors that affect the traffic of freight vehicles should be considered before determining the areas that will be subject to restrictions on the operation of these vehicles.

본 연구는 수송부문에서 오염물질 배출 비중이 큰 화물차의 통행량에 영향을 미치는 요인을 분석하기 위하여 다중회귀모형을 추정하였으며, 모형 추정 결과 지역별 인구수, 도시지역 면적, GDP, 업종별(농업, 임업 및 어업, 광업, 제조업, 도매 및 소매업) 사업체수 등이 주요 변수로 검토되었다. 이러한 변수는 화물차 특성(업종, 톤급)에 따라 상이하게 나타나므로 차량 운행제한 등 관련 정책 추진 시에는 지역별 화물차 특성에 따른 통행량을 충분히 고려해야 할 필요가 있다. 특히 물류터미널 등 화물차 통행량이 많은 물류거점이 위치하지 않은 지역에 대해서는 화물차 통행에 영향을 미치는 지역별 요인을 고려하여 차량 운행제한 대상 지역을 검토해야 할 필요가 있다. 특히 본 연구의 결과에서 제시된 바와 같이 화물차 통행량과 지역 내 인구수는 양의 상관관계를 가지기 때문에 인구밀집지역에서는 화물차를 포함한 차량운행제한 검토가 필요하다. 본 연구 결과의 신뢰도를 높이기 위해서는 실제 통행량 자료를 기반으로 다중회귀모형 외 다양한 모형 추정을 통하여 추정 결과에 대한 오차를 줄여야 할 필요가 있다.

Keywords

Acknowledgement

본 논문은 한국환경정책·평가연구원의 2019년도 기본과제 「육상화물운송수단의 미세먼지 및 온실가스 저감 방안 연구(RE2019-04)」의 지원으로 수행되었음.

References

  1. Ministries, "Future Automotive Expansion and Market Preoccupation Strategies", 2020.
  2. Ministry of Land, Infrastructure, and Transport, "2019 Automotive Registration Data Statistics", 2020.
  3. J. S. Hahn, S. M. Lee, Y. M. Chung, M. C. Park, S. H. Kim, Research on the Reduction of PM and GHG from Ground Freight Transportation, Korea Environment Institute, Korea.
  4. H. S. Kim, D. J. Park, C. S. Kim, K. D. Lee, K. S. Kim, "Destination Choice Modeling for Freight Trip Distribution in Seoul Metropolitan", The Korea Spatial Planning Review, Vol.64, pp.167-183, 2010. DOI: https://doi.org/10.15793/kspr.2010.64..010
  5. J. S. Hahn, M. C. Park, H. M. Sung, H. B. Kim, "A Study on the Characteristics of Urban Truck Movement for the Truck based Urban Freight Demand Model", Journal of Korean Society of Transportation, Vol.30, No.3, pp.107-118, 2012. DOI: https://doi.org/10.7470/jkst.2012.30.3.107
  6. J. S. Hahn, M. C. Park, "A Study on the Factors Concerning Empty Truck Movements", Journal of Korean Society of Transportation, Vol.3, No.6, pp.47-57, 2012. DOI: https://doi.org/10.7470/jkst.2012.30.6.047
  7. J. S. Hahn, M. C. Park, "The Comparison between Regional and Urban Truck Movement Characteristics", Journal of the Korean Society of Civil Engineers, Vol.33, No.4, pp.1559-1569, 2013. DOI: https://doi.org/10.12652/Ksce.2013.33.4.1559
  8. S. J. Kim, A Study on Tour-Based Travel Demand Model of Parcel Service Truck, Master's thesis, Graduate School of The University of Seoul.
  9. Holguin-Veras J., Thorson E., "Practical Implications of Modeling Commercial Vehicle Empty Trips", Transportation Research Record, Vol.1833, pp.87-94, 2003. DOI: https://doi.org/10.3141/1833-12
  10. Holguin-Veras, J. and Patil, G., "Observed Trip Chain Behavior of Commercial Vehicles", Transportation Research Record: Journal of the Transportation Research Board, Vol.1906, No.1, pp.74-80, 2005. DOI: https://doi.org/10.1177/0361198105190600109
  11. Wang, Q. and Holguin-Veras, J., "Investigation of Attributes Determining Trip Chaining Behavior in Hybrid Microsimulation Urban Freight Models", Transportation Research Record: Journal of the Transportation Research Board, Vol.2066, No.1, pp.1-8, 2008. DOI: https://doi.org/10.3141/2066-01
  12. Beilock R., Kilmer R. L., "The Determinants of Full-Empty Truck Movements", American Journal of Agricultural Economics, Vol.68, No.1, pp.67-76, 1986. DOI: https://doi.org/10.2307/1241650
  13. Holguin-Veras, J. and Thorson, E., "Modeling commercial vehicle empty trips with a first order trip chain model", Transportation Research Part B, Vol.37, No.2, pp.129-148, 2003. DOI: https://doi.org/10.1016/S0191-2615(01)00048-0
  14. Tolliver D., Dybing A., Mitra S., "Trip Generation Rates for Large Elevators: A North Dakota Case Study", Transportation Research Record, Vol.1966, pp.88-95, 2006. DOI: https://doi.org/10.3141/1966-11
  15. Holguin-Veras J., Patil G. R., "Integrated Origin-Destination Synthesis Model for Freight with Commodity-Based and Empty Trip Models", Transportation Research Record, Vol.2008, pp.60-66, 2007. DOI: https://doi.org/10.3141/2008-08
  16. Raothanachonkun P., Sano K., Wisetjindawat W.,Matsumoto S., 2007, "Estimating Truck Trip Origin-Destination with Commodity-Based and Empty Trip Models", Transportation Research Record, Vol.2008, pp.43-50, 2007. DOI: https://doi.org/10.3141/2008-06
  17. Stefan, K. J., Hunt, J. D., McMillan, J. D. P. and Farhan, A., "Development of a fleet allocator model for calgary, Canada", Journal of the Transportation Research Board, No. 1994, Transportation Research Board of the National Academies, Washington, D.C., pp.89-93, 2007. DOI: https://doi.org/10.3141/1994-12
  18. Sivakumar, A. and Bhat, C., "Fractional Split-Distribution Model for Statewide Commodity-Flow Analysis", Transportation Research Record: Journal of the Transportation Research Board, Vlo.1790, No.1, pp.80-88, 2002. DOI: https://doi.org/10.3141/1790-10
  19. Hunt, J.D. and Stefan, K.J., "Tour-based microsimulation of urban commercial movements", Transportation Research Part B, Vol.41, No.9, pp.981-1013, 2007. DOI: https://doi.org/10.1016/j.trb.2007.04.009
  20. Pani, A., Sahu, P.K., Chandra, A., Sarkar, A.K., "Assessing the extent of modifiable areal unit problem in modelling freight (trip) generation: Relationship between zone design and model estimation results", Journal of Transportation Geography, Vol.80, pp.1-17, 2019. DOI: https://doi.org/10.1016/j.jtrangeo.2019.102524
  21. Gonzalez-Feliu, J. and Sanchez-Diaz, I., "The influence of aggregation level and category construction on estimation quality for freight trip generation models", Transportation Research Part E, Vol.121, pp.134-148, 2019. DOI: https://doi.org/10.1016/j.tre.2018.07.007
  22. Bakshi, N.D., Tiwari, G., Bolia, N.B., "Influence of urban form on urban freight trip generation", Case Studies on Transportation Policy, Vol.8, pp.229-235, 2020. DOI: https://doi.org/10.1016/j.cstp.2019.04.004
  23. Puente-Mejia, B., Palacios-Arguello, L., Suarez-Nunez, C., Gonzalez-Feliu, J., "Freight trip generation modeling and data collection processes in Latin American cities. Modeling framework for Quito and generalization issues", Transportation Research Part A, Vol.132, pp.226-241, 2020. DOI: https://doi.org/10.1016/j.tra.2019.10.013
  24. The Korea Transport Institute, 2017 National Transportation Survey, DB System Operation and Maintenance, Korea.
  25. U. S. Kim, Y. J. Choe, A Study on the Policy Options Considering Life Cycle Management for PM.NOX Emissions of Diesel Vehicles in Seoul, The Seoul Institute, Korea.