DOI QR코드

DOI QR Code

Integrated Equity Analysis Based on Travel Behavior and Transportation Infrastructure: In Gyeonggi-Do Case

교통인프라와 통행행태를 기반으로 한 통합적 형평성 분석: 경기도를 중심으로

  • Bin, Miyoung (Department of Transportation Researcher, Gyeonggi Research Institute) ;
  • Lee, Won Do (Department of Geography, Kyung Hee Universiy) ;
  • Moon, Juback (Department of Transportation Researcher, Gyeonggi Research Institute) ;
  • Joh, Chang-Hyeon (Department of Geography, Kyung Hee Universiy)
  • 빈미영 (경기개발연구원 교통연구실) ;
  • 이원도 (경희대학교 지리학과) ;
  • 문주백 (경기개발연구원 교통연구실) ;
  • 조창현 (경희대학교 지리학과)
  • Received : 2013.03.08
  • Accepted : 2013.05.27
  • Published : 2013.08.31

Abstract

This study aims at analyzing transportation equity between geographical areas of Gyonggi Province, by taking both the transportation infrastructure and travel behavior into account. Indicators of transportation infrastructure include the indices of road infrastructure, transit infrastructure and regional characteristics. Travel behavior concerns information from bus card data on a survey day. The hot-spot analysis conducted included spatial cluster analysis and global/local regression analyses. The analysis results identified geographical areas of four different classes of transportation equity, from the area with high level infrastructure surrounded by the areas with high level infrastructure (HH) to the area with low level surrounded by the areas with low level (LL). The area of HH type showed big numbers of passengers, trips and transfers, whereas the area of LL type shows big figures of internal trip frequency, travel time, travel distance, travel speed and transit fare. Global regression analysis showed that number of passengers, number of transfers, number of internal trips and mean travel speed are important to the level of transportation infrastructure. GWR with these four significant variables significantly improved the AICs and ANOVA results, which implies that the infrastructure is likely explained by travel characteristics differently between geographical areas in Gyonggi Province.

본 연구는 지역간 형평성을 분석하기 위하여 교통인프라지표와 통행행태를 통합적으로 고려하였다. 교통인프라지표로는 도로시설, 대중교통시설, 지역특수지수를 이용하였다. 통행행태는 1일자의 버스교통카드데이터를 이용하였다. 공간군집 분석과 전역적 국지적 분석을 통해 얻은 결과 분석단위를 읍 면 동으로 하였을 때 해당지역과 주변지역의 인프라수준이 높은지역(High-High)에서 모두 낮은지역(Low-Low)등 4개의 수준으로 구분되었다. HH type의 지역에서는 버스이용자, 통행, 환승 수가 높고, LL Type의 지역은 내부통행수, 통행시간, 통행거리, 통행속도, 요금항목이 높게 나타났다. 전역적 회귀분석에 의해 교통인프라 수준을 통행행태 변수로 회귀한 결과, 버스이용자수(bus users), 평균환승수(mean_trans), 평균내부통행수(mean_inside), 평균통행속도(mean_speed), 총 4개의 통행특성 변수가 유의하게 추출되었다. 이들 변수를 적용하여 국지적 회귀분석(GWR)을 수행한 결과 전역적 회귀분석에 비해 AIC와 ANOVA 결과 모두 모형의 결과를 유의하게 향상시켜, 경기도 내 통행행태 특성이 교통인프라 수준을 설명하는 데 있어 지역 간 차이가 많이 존재하는 것을 다시 한 번 확인시켜주었다.

Keywords

References

  1. Burchardt T., Grand J., Piachaud D. (2002), Degrees of Exclusion: Developing a Dynamic, Multidimensional Measure, Understanding Social Exclusion, Oxford University Press, Oxford.
  2. Church A., Frost M. (1999), Transport and Social Exclusion in London: Exploring Current and Potential Indicators, Transport Policy, 7, pp.195-205.
  3. Fotheringham A. S., Brunsdon C., Charlton M. (2002), Geographically Weighted Regression: the Analysis of Spatially Varying Relationships, John Wiley and Sons Ltd.
  4. Gyeonggi Research Institute (2010), A Study on the Transportation Competitiveness of the Cities in Gyeonggi-Do.
  5. Gyeonggi Research Institute (2011), A Study on Analysis Travel Patterns and Applications Using Gyeonggi-do Traffic Card Data.
  6. Hodgson F. C., Turner J. (2003), Participation not Consumption: the Need for New Participatory Practices to Address Transport and Social Exclusion, Transport Policy, 10, pp.265-272. https://doi.org/10.1016/j.tranpol.2003.08.001
  7. Jung W. H. (2009), The Analyzing of Public Transport Mode User's Stay Space Distribution Using Geographically Weighted Regression, Master Theses, Kyung Hee University.
  8. Kim J. H., Park I. S., Jung J. H. (2011), Trip Generation Model Based on Geographically Weighted Regression, J. Korean Soc. Transp., Vol.29, No.2, Korean Society of Transportation, pp.101-109.
  9. Korea Research Institute For Human Settlements (2002), A Study on the Assessment of Road Development Demand Considering Social Equity in Road Service Provision.
  10. Korea Research Institute For Human Settlements (2010), The Enhancement of Linkage Between Housing and Transportation Policy: Focusing on Estimated Location and Household Trip Patterns in Seoul Metropolitan Area.
  11. Korea Research Institute For Human Settlements (2011), The Strategies of Equity Improvement Toward Fair Society: Focusing on the Equity in Transport Policy.
  12. Lee W. D. (2011), The Study on Measurement of Urban Spatial Structure: Analyzing Urban Compactness and Changes in Land Price in Seoul, Master theses, Kyung Hee University.
  13. Lee W. D., Na Y. G., Park S. H., Lee B. J., Joh C. H. (2012), Transportation Equity Analysis Based on the Metropolitan Household Survey, Journal of the Korean Urban Geographical Society, Vol.5, No.1, pp.1226-9492.
  14. Litman T. (2003), Social Inclusion as a Transport Planning Issue in Canada: Contribution to the FIA Foundation G7 comparison, Victoria Transport Policy Institute.
  15. Longly P. A., Goodchild M. F., Maguire D. J., Rhind D. W. (2005), Geographical Information Systems and Science, John Wiley and Sons.
  16. McDonagh J. (2006), Transport Policy Instruments and Transport-related Social Exclusion in Rural Republic of Ireland, Journal of Transport Geography, Vol.14, No.5, pp.355-356. https://doi.org/10.1016/j.jtrangeo.2005.06.005
  17. Noh S. H. (2007), Impacts of Transportation on Social Exclusion, The Geographical Journal of Korea, Vol.41, No.4, pp.457-467.
  18. Park B. H., Yang J. M., In B. C. (2009), Relationship Between Traffic Accidents of Elderly Pedestrians and Barrier-Free Facilities in the Case of Cheongju, J. Korean Soc. Transp., Vol.27, No.2, Korean Society of Transportation, pp.189-197.
  19. Preston J., Raje F. (2007), Accessibility, Mobility and Transport-related Social Exclusion, Journal of Transport Geography, 15, pp.151-160. https://doi.org/10.1016/j.jtrangeo.2006.05.002
  20. Raje F. (2003), The Impact of Transport on Social Exclusion Processes With Specific Emphasis on Road User Charging, Transport Policy, 10, pp.321-338. https://doi.org/10.1016/S0967-070X(03)00038-6
  21. Sanchez T. W. (1998), Equity Analysis Of Personal Transportation System Benefits, Journal Of Urban Affairs, Vol.20, No.1, pp.69-86. https://doi.org/10.1111/j.1467-9906.1998.tb00411.x
  22. Schönfelder S., Axhausen K. W. (2003), Activity Spaces: Measures of Social Exclusion?, Transport Policy, 10, pp.273-286. https://doi.org/10.1016/j.tranpol.2003.07.002
  23. Smith M. D., Goodchild M., Longley P. (2006), Geospatial Analysis, Troubador Publishing Ltd.
  24. Son H. K. (2007) Dynamic Exploration of Spatial Patterns of House Price Volatility Using GIS and Spatial Statistics, Doctoral Dissertation, Seoul University.
  25. The Korea Transport Institute (2006), An Equity Analysis of the Long Term National Transportation Infrastructure Planning.
  26. The Korea Transport Institute (2007), A Study on Constructing the Evaluation System of Level of Service for Urban Transportation.
  27. The Korea Transport Institute (2010), A Study of the Factors Associated With Travel Patterns of the Elderly.
  28. Tobler W. R. (1970), A Computer Movie Simulating Urban Growth in the Detroit Region, Economic Geography, Vol.46, No.2, pp.234-240. https://doi.org/10.2307/143141
  29. Won J. M. (2006), Transportation Engineering, Parkyoungsa, Seoul.

Cited by

  1. The Relationship Between the Intrazonal Trip and the Regional Characteristic with the Navigation Data vol.51, pp.4, 2016, https://doi.org/10.17208/jkpa.2016.08.51.4.175
  2. 서울시 지하철 네트워크의 접근성과 공간적 형평성 vol.22, pp.4, 2019, https://doi.org/10.23841/egsk.2019.22.4.513
  3. An Application of Reinforced Learning-Based Dynamic Pricing for Improvement of Ridesharing Platform Service in Seoul vol.9, pp.11, 2013, https://doi.org/10.3390/electronics9111818