Journal of Korean Society of Transportation (대한교통학회지)

Korean Society of Transportation (대한교통학회)
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Developing a Method for Estimating Urban Environmental Impact Using an Integrated Land Use-Transport Model

토지이용-교통 통합 모형을 활용한 도시 환경 영향 예측 방법론 개발

  • HU, Hyejung (Highway Research Institute, Korea Institute of Civil Engineering and Building Technology) ;
  • YANG, Choongheon (Highway Research Institute, Korea Institute of Civil Engineering and Building Technology) ;
  • YOON, Chunjoo (Highway Research Institute, Korea Institute of Civil Engineering and Building Technology) ;
  • KIM, Insu (Highway Research Institute, Korea Institute of Civil Engineering and Building Technology) ;
  • SUNG, Junggon (Highway Research Institute, Korea Institute of Civil Engineering and Building Technology)
  • 허혜정 (한국건설기술연구원 도로연구소) ;
  • 양충헌 (한국건설기술연구원 도로연구소) ;
  • 윤천주 (한국건설기술연구원 도로연구소) ;
  • 김인수 (한국건설기술연구원 도로연구소) ;
  • 성정곤 (한국건설기술연구원 도로연구소)
  • Received : 2014.10.28
  • Accepted : 2015.04.03
  • Published : 2015.06.30
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Abstract

This paper describes a method that can be used for estimating future carbon emissions and environmental effects. To forecast future land use and transportation changes under various low carbon policies, a DELTA and OmniTRANS combination (a land use-transport integrated model) was applied. Appropriate emission estimation methods and dispersion models were selected and applied in the method. It was designed that the estimated emissions from land use and transportation activity as well as the estimated concentrations of air pollutants and comprehensive air quality index (CAI) are presented on a GIS-based map. The prototype was developed for the city of Suwon and the outcome examples were presented in this paper; it demonstrates what kinds of analysis results are presented in this method. It is expected that the developed method will be very useful for decision makers who want to know the effect of environmental policies in cities.

이 논문은 도시의 장래 탄소 배출량과 환경적 영향을 예측하는 방법론에 대하여 설명하고 있다. 다양한 저탄소 도시/교통정책의 시행으로 인한 장래의 토지이용과 교통의 변화를 예측하기 위하여 토지이용 통합 모형인 DELTA, OmniTRANS 조합을 적용하였다. 또한, 이러한 모형과 통합하기에 적합한 배출량 산정 모형과 확산모형을 선정하여 사용하였다. 개발 방법론의 결과 값인 토지이용과 통행 활동으로 인한 이산화탄소 및 대기오염 물질의 배출량, 오염 물질의 농도, 통합 대기질 지수 등이 GIS 기반의 지도에 표출되도록 하였다. 수원시를 대상으로 프로토타입을 개발하고 결과 값의 표출 사례를 논문에 예시하였다. 개발 방법론은 환경 친화적인 도시 정책의 효과를 알고자 하는 정책 결정자들에게 유용하게 사용될 수 있을 것으로 기대된다.

Keywords

References

  1. AERMOD: Description of Model Formulation (2004), USEPA.
  2. Allen E. (2009), Designing a Cool Spot Neighborhood: An Urban Planning Technique to Reduce GHG Emissions, in Policy, Urban Form, and Tools for Measuring and Managing Greenhouse Gas Emissions, Lincoln Institute of Land Policy.
  3. Arentze T., Timmermans H. (2000), ALBATROSS - A Learning-Based Transportation-Oriented Simulation System, Eindhoven: European Institute for Retailing and Services Studies (EIRASS).
  4. Arentze T., Timmermans H. J. P. (2004), A Learning-Based Transportation-Oriented Simulation System, Transportation Research Part B, 38(7), 613-633. https://doi.org/10.1016/j.trb.2002.10.001
  5. Benson P. E. (1979), CALINE3 - A Versatile Dispersion Model for Predicting Air Pollutant Levels Near Highways and Arterial Streets, FHWA, Report No. FHWA/CA/TL-79/23.
  6. Comprehensive Air-quality Index, Seoul Air Quality Information, http://cleanair.seoul.go.kr/inform.htm?method=ca, 2013. 12. 15.
  7. Comprehensive Modal Emissions Model (CMEM) User's Guide (2001), University of California Riverside Center for Environmental Research and Technology.
  8. Czachorski M. (2008), Development of an Energy Module for I-$PLACE^3S$ : PIER Final Project Report, California Energy Commission.
  9. Ettema D., Timmermans H. (2006), Multi-agent Modelling of Urban Systems: A Progress Report of PUMA System, Stadt Region Land 81, Aachen: Institut fur Stadtbauwesen und Stadtverkehr, RWTH Aachen, 165-171.
  10. Jost P., Hassel D., Webber F. J., Sonnborn K. S. (1992), Emission and Fuel Consumption Modelling Based on Continuous Measurements, DRIVE Project V 1053.
  11. Joumard R., Jost P., Hickman J. (1995), Influence of Instantaneous Speed and Acceleration on Hot Passenger Car Emissions and Fuel Consumption, SAE Paper 950928, Society of Automotive Engineers, Warrendale, Pennsylvania.
  12. Kim K. I., Yi C., Lee S. (2010), A Scenario Analysis on Transport Energy Consumption and Carbon Emission Using DELTA, Journal of Korea Planners Association, 45(6), 117-135.
  13. Korea Transporation Database, Korea Transportation Institute, http://www.ktdb.go.kr, 2014.7.15.
  14. Lautso K., Spiekermann K., Wegener M., Sheppard I., Steadman P., Martino A., et al. (2004), Planning and Research of Policies for Land Use and Transport for Increasing Urban Sustainability, DG Research.
  15. Miller E. J. (2006), Integrated Urban Modelling: Some Theoretical Considerations, Stadt Region Land 81, Aachen: Institut fur Stadtbauwesen und Stadtverkehr, RWTH Aachen, 71-79.
  16. Miller E. J., Paul A. S., Integrated Land Use, Transportation, Environment (ILUTE) Modelling Systems, Salvini University of Toronto, http://www.civ.utoronto.ca/sect/traeng/ilute/downloads/conference_papers/miller-salvini_iatbr-00.pdf. 2014.7.15.
  17. MOVES (Motor Vehicle Emission Simulator, US Environmental Protection Agency, http://www.epa.gov/otaq/models/moves/index.htm, 2013.12.15.
  18. National Air Pollutant Emission Calculation Method Manual II (2010), National Institute of Environmental Research.
  19. OmniTRANS Product Overview, OmniTRANS International. http://www.omnitrans-international.com/en/products/omnitrans/product-overview. 2013.12.15.
  20. Pelkmans L., Debal P., Hood T., Hauser G., Delgado M. R. (2004), Development of a Simulation Tool to Calculate Fuel Consumption and Emissions of Vehicles Operating in Dynamic Conditions, SAE Paper 2004-01-1873, Society of Automotive Engineers.
  21. Rexeis M., Hausberger S., Riemersma I., Tartakovsky L., Zvirin Y., Erwin C. (2005), Heavy-duty Vehicle Emissions, Final Report of WP400 in ARTEMIS (Assessment and Reliability of Transport Emission Models and Inventory Systems), University of Technology, Graz.
  22. Seoul Climate - Energy Map Development - Year 2 (2012), Seoul City Government.
  23. Simmonds D. C. (1999), The Design of the DELTA Land-Use Modeling Package, Environment and Planning B: Planning and Design, 26, 665-684. https://doi.org/10.1068/b260665
  24. Seoul Statistics, http://stat.seoul.go.kr, 2014.7.15.
  25. Statistics Suwon, http://stat.suwon.go.kr/stat/index.do.2014.7.15.
  26. Suwon Urban Planning History, City of Suwon, http://oui.suwon.ne.kr/ebook/cityplan200/main.html. 2014.7.15.
  27. Wegener M. (2004), Overview of Land-use Transport Models In: Hensher, D.A., Button, K.J.(Eds.): Transport Geography and Spatial Systems, Handbook 5 of Handbook in Transport, Kidlington, UK: Pergamon/Elsevier Science, 127-146.
  28. Weidner T., Donnelly R., Freedman J., Abraham J. E., Hunt J. D. (2006), TLUMIP - Transport Land Use Model in Portland - Current State, Stadt Region Land 81, Aachen: Institut fur Stadtbauwesen und Stadtverkehr, RWTH Aachen, 91-102.

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