대한교통학회지 (Journal of Korean Society of Transportation)

  • 제34권2호
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  • Pages.107-122
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  • 2016
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  • 1229-1366(pISSN)
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  • 2234-4217(eISSN)
대한교통학회 (Korean Society of Transportation)
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공간 구문론을 이용한 존내 자동차 배출량 추정 모형

Mobile Source Emissions Estimates for Intra-zonal Travel Using Space Syntax Analysis

  • 이규진 (아주대학교 TOD기반 지속가능 도시교통연구센터) ;
  • 최기주 (아주대학교 교통시스템공학과)
  • LEE, Kyu Jin (TOD-based Sustainable City Transportation Research Center, Ajou University) ;
  • CHOI, Keechoo (Department of Transportation System Engineering, Ajou University)
  • 투고 : 2015.07.27
  • 심사 : 2016.02.25
  • 발행 : 2016.04.30
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초록

이 연구는 교통수요모형에 기반한 자동차 배출량 산정 시 존내 배출량이 누락되는 문제를 보완하기 위해, 교통수요모형과 결합하여 활용될 수 있는 존내 배출량 산정 모형을 정립하는데 목적이 있다. 특히 "도시-교통의 상호작용에 기안하여, 도시공간구조는 접근도에 영향을 미치고, 이는 사람들의 통행행태에 영향을 미친다."는 이론에 근거하여, 본 연구는 도시 도로의 구조적인 특성을 정량화할 수 있는 공간 구문론(Space Syntax) 이론 등을 활용하여 존내 통행거리, 존내 통행량, 존내 평균 통행속도, 그리고 이들을 조합한 존내 배출량 추정 모형을 구축하였다. 연구 결과, 도시 공간 구조는 존내 배출 특성에도 영향을 미치는 것으로 나타났으며, 특히 압축도시이고, 대지 면적이 좁고, 난개발 지수가 낮고, 격자형 도시일수록, 존내 자동차 배출량은 적게 배출되는 것으로 나타났다. 지역의 공간적 특성을 반영하여 구축된 본 연구 모형은 기존 모형에 비해 약 44-46% 높은 설명력을 보였다. 이를 수원시 자전거 도로 개선사업에 적용하여 배출 저감량을 산정한 결과, 존간 배출 저감량만 고려한 기존 결과와 비교해 약 2배 높은 배출 저감량이 산정되었다. 본 연구결과는 국가 배출량 산정에의 활용 및 다양한 교통-환경 정책의 효과 평가에도 유용하게 활용될 수 있을 것으로 기대된다.

This study aims to develop a framework to estimate mobile source emissions with the macroscopic travel demand model including enhanced estimates of intra-zonal travel emissions using Space Syntax analysis. It is acknowledged that "the land-use and transportation interaction model explains the influence of urban structure on accessibility and mobility pattern". Based upon this theory, the estimation model of intra-zonal travel emissions is presented with the models of total travel distance, total travel demand, and average travel speed of intra-zonal trips. Thess statistical models include several spatial indices derived from the Space Syntax analysis. It explains that urban spatial structure is a critical factor for intra-zonal travel emissions, which is lower in compact zone with smaller portion of land area, lower sprawl indicator, and more grid-type of road network. Also the suggested framework is applied in the evaluation of the effectiveness of bicycle lane project in Suwon, Korea. The estimated emissions including intra-zonal travel is as double as the results only with inter-zonal demands, which shows better performance of the suggested framework for more realistic outcomes. This framework is applicable to the estimation of mobile source emissions in nation-wide and the assessment of transportation-environment policies in regional level.

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참고문헌

  1. Choi J. P., Gu B. O. (2001), A Study on the Birth and Growth of the Commercial Facility in the Context of the Street Layout: Urban Street System Analysis Using Space Syntax Theory, J. Architectural Inst. Korea, 152, 127-136.
  2. Choi K. C., Lee K. J., Ahn S. C. (2009), An Improvement of Bottom Up Approach for Estimating the Mobile Emission Level, J. Korean Soc. Transp., 27(4), Korean Society of Transportation, 183-193.
  3. Crevo C. C., Virkud U. (1994), Practical Approach to Deriving Peak-Hour Estimates From 24-Hour Travel Demand Model, Transportation Research Record 1443, TRB, National Research Council, Washington, D.C., 30-37.
  4. Hiller B. (1996), Space is the Machine, Cambridge University Press.
  5. Hiller B., Hanson J. (1984), The Social Logic of Space, Cambridge University Press.
  6. Hwang H. Y., Yoon D. W. (2007), Configurational Analysis of Cheongju Wonheung-ee Eco-park Network Plan Using Space Syntax, J. Korea Planners Association, 42(5), Korea Planning Association, 177-196.
  7. Hwang M. Y. (2000), A Study on the Remodeling Method of Museum Exhibition Design: Application of the Space Syntax Analysis on Seoul Municipal Museum, Master Thesis of Hongik University.
  8. Ito D. T., Niemeier D., Garry G. (2001), How VMT-speed Distributions Can Affect Mobile Emission Inventories, Transportation 28, Kluwer Academic Publishers, 409-425.
  9. Jang Y. S. (2008), Assessment of the Desirable Land Space for Streets Based on Road Supply Index in Residential Area Development, Ph. D. Dissertation of University of Seoul.
  10. Jeon C. M. (2004), Applying the Space Syntax Technique to the Network of Public Transportation, J. Korea Soc. Geospatial Inf. Science, 12(2), Korean Society for GeoSpatial Information System, 73-77.
  11. Jeon C. M. (2007), Public Transport Network Connectivity Using GIS-based Space Syntax, J. Korea Spat. Inf. Soc., 9(3), Korea Spatial Information Society, 25-33.
  12. Kim C. S. (2008), An Analysis of the Relationship Between Spatial Configuration and Traffic Accidents Using Space Syntax, Master Thesis of Chonbuk University.
  13. Kim Y. U. (2001), Application of Space Syntax in Hospital Planning and Design, J. Korea Inst. Healthc. Architecture, 7(1), Korea Institute of Healthcare Architecture, 97-83.
  14. Kwon H. J., Sohn T. J. (2007), A Study on the Characteristics of Spatial Structure Shown Through the Movement in the Jung-Won Yoon Min-Geol House by the Application of the Space Syntax, Branch Association for Architectural Institute of Korea, 1(1), 340-348.
  15. Lee B. Y., Lee S. J. (2005), Accessibility (serviceability) of Hierarchical Bus Network in Seoul, J. Korean Soc. Transp., 23(8), Korean Society of Transportation, 163-170.
  16. Lee K. J., Choi K. C. (2010), A Bike Mode Share Estimation Model and Analysis of the Bike Demand Factor Effects, J. Korean Soc. Transp., 28(3), Korean Society of Transportation, 145-155.
  17. Lee S. H., Honh S. M. (2008), Study on the Change of Spatial Configuration Using Space Syntax in Harbor Redevelopment District, J. Architectural Inst. Korea, 10(4), 157-166.
  18. Lymm B. M., Yoo G. C., Cho G. S. (2008), A Study on the Complex Space Analysis by Space Syntax in Public Library, J. Architectural Inst Korea, 28(1).
  19. Niemeier D. A., Zheng Y., Kear T. (2004), UCDrive: A New Gridded Mobile Source Emission Inventory Model, Atmospheric Environment, 38(2), Elsevier, 305-319. https://doi.org/10.1016/j.atmosenv.2003.09.040
  20. Park G. G., Lee S. H. (2009), A Study on Quantitative Analysis Method of Museum Architecture Arrangement: Focused on Space Syntax and Visibility Graph Analysis, J. Korean Inst. Inter. Des., 18(4), Korea Institute of Interior Design, 97-104.
  21. Ryu S. K., Lee S. J., Ahn W. Y. (2005), Development of the Multi-Path Finding Model Using Kalman Filter and Space Syntax Based on GIS, J. Korean Soc. Transp., 23(7), Korean Society of Transportation, 149-158.
  22. Stern N. (2006), Stern Review on the Economics of Climate Change, Cambridge University Press.
  23. Suwon (2007), The Basic and Working Design of Bicycling Facility Maintenance Business for Suwon.
  24. Ulsan Development Institute (2007), A Study on Progress Direction of Eco-friendly Urban Development.
  25. Wegener M., Kunzmann K.R. (1996), New Spatial Patterns of European Urbanisation, Urban Networks in Europe, Paris, 7-17.
  26. Yeon G. H., Hwang H. Y. (2008), Configurational Analysis of Cheongju City Street Network Using Space Syntax, J. Korea Planners Association, 43(1), Korea planning Association, 26-42.
  27. Yu E. Y. (2008), A Study on the Correlation Between the Change of the Urban Central Area and the Land Use by Space Syntax, Master Thesis of University of Seoul.
  28. Yu Y. G. (2006), A Study on Inner Zone Trip Estimation Method in Gravity Model, J. Korean Soc. Civ. Eng., 26(5), Korean Society of Civil Engineers, 763-769.
  29. Yu Y. G., Lee J. H. (2001), A Study on Inner Trip Characteristics and Application of Network Assignment, J. Korean Soc. Civ. Eng., 21(2), Korean Society of Civil Engineers, 153-164.
  30. Zheng Y., Wang B., Zhang H. M., Niemeier D. (2004), A New Gridding Method for Zonal Travel Activity and Emissions Using Bicubic Spline Interpolation, Transportation Research Part B, 38, Elsevier, 751-766. https://doi.org/10.1016/j.trb.2003.12.002

피인용 문헌

  1. 공공보건을 고려한 시뮬레이션 연계기반 속도관리전략 평가기법 개발 vol.34, pp.6, 2016, https://doi.org/10.7470/jkst.2016.34.6.548
  2. GCAM을 이용한 국내 수송부문 모델링 vol.35, pp.2, 2016, https://doi.org/10.7470/jkst.2017.35.2.091
  3. Space Syntax를 이용한 교통수요예측의 중력모형 저항함수의 개선방안 vol.20, pp.3, 2016, https://doi.org/10.5762/kais.2019.20.3.617