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환승통행과 토지이용의 연관성 분석

Exploring the Relationship between Transfer Trips and Land Use

  • 임수연 (홍익대학교 도시계획과) ;
  • 이향숙 (인천대학교 동북아물류대학원) ;
  • 추상호 (홍익대학교 도시공학과)
  • 투고 : 2016.04.05
  • 심사 : 2016.04.15
  • 발행 : 2016.04.30

초록

본 연구의 목적은 서울시의 환승통행 특성을 분석하고 토지이용이 환승통행에 미치는 영향을 규명하는 것이다. 이를 위해 서울시의 2013년 4월 평일 하루치 교통카드자료를 이용하여 환승통행의 일반적인 특성을 분석하고, 토지이용과 사회경제지표 등을 독립변수로 고려한 환승통행량의 다중선형 회귀모형을 구축하였다. 환승통행특성의 경우, 환승통행이 전체 통행의 26.7%를 차지하였으며, 이 중 1회 환승한 경우가 86.4%로 대부분이었다. 또한 버스-지하철간 환승이 64.7%로 큰 비중을 차지하였며, 주로 지하철 역 및 업무시설이 다수 위치하는 곳에서 환승통행이 많이 발생하였다. 회귀모형 구축 결과, 업무시설면적비율 및 백화점시설의 면적비가 높거나 복합토지이용도가 높은 지역일수록 환승통행량이 많아지는 것으로 분석되었다. 본 연구의 결과는 향후 복합환승센터와 같이 도시 내 환승통행을 고려하는 교통시설의 입지 선정을 위한 기초자료로 활용될 수 있을 것이다.

This paper is to analyze characteristics of transfer trips and to identify impacts of land use on them. Using the smart transport card data of Seoul on a weekday in April 2013, we explored general characteristics of the transfer trips such as spatial and temporal distributions, transfer types, and geographical patterns of transfer trips. Then, the multiple regression model for the transfer trips was developed, considering land use as well as socio-economic variables as explanatory ones. For the characteristics of the transfer trips, their ratio to the total trips accounts for 26.7%. Nearly 87% of the trips are one-time transferred, and 64.7% are bus-subway transfer trips. In addition, the transfer trips are more likely to appear nearby subway stations and business facilities. The regression model indicates that land use variables such as the floor areas of business facilities and department stores and mixed land use index significantly positively affect the transfer trips. Our results can be used as basic data for choosing feasible locations of multi-modal transfer centers in urban areas.

키워드

참고문헌

  1. Kim S. K. and Sohn K. M.(2008), "Desirable Metropolitan Transport System in Seoul Metropolitan Area: Present Condition of Transportation based on Transport Census Results," SDI Policy Report, vol. 9, pp.1-20.
  2. Metropolitan Transportation Authority(2013), "2013 Passenger O/D Travel Update Co-project," pp.213-214.
  3. Gyeonggi Research Institute(2011), "A Study on Analysis Travel Pattens and Applications Using Gyeonggi-Do Traffic Card Data," pp.39-76.
  4. Song J. Y., Eom J. K., Park J. H., Kim D. S. and Choi M. H.(2011), "Analysis of Passenger Transfer Patterns Based on Transit Smart Card Data in Seoul," The Korean Society for railway Conferences, pp.563-570.
  5. Sohn J. U., Kim J. H. and Kang M. H.(2012), "A Study on the Public Transit System by Using Transportation Card Data in Incheon," Transportation Technology and Policy, vol. 9, no. 6, pp.36-42.
  6. Bin M. Y., Jung E. S., Lee W. D. and Joh C. H.(2012), "Classification and Profiling of Bus Stops in Gyeong-gi Province on the Basis of Trip Chain Variables," Journal of the Economic Geographical Society of Korea, vol. 15, no. 2, pp.332-342. https://doi.org/10.23841/egsk.2012.15.2.332
  7. Lee S. H., Kim J. S., Kim M. S. and Woo Y. H.(2013), "A Study on Users' Travel Behavior Analysis of Transit Transfer," The Journal of The Korea Institute of Intelligent Transport System, vol. 12, no. 1, pp.147-157. https://doi.org/10.12815/kits.2013.12.1.147
  8. Kim J. H. and Sohn J. E.(2014), "Estimation of Railway Transfer Demand in Incheon," The Korean Society for railway Conferences, pp.541-546.
  9. Hwang Y. H.(2007), "A Study on Developing Design Criteria of Transfer Facolity Center," Transportation Technology and Policy, vol. 4, no. 1, pp.115-130.
  10. Gyeonggi Research Institute(2008), "Analysis on Transfer Trip of GyeongGi-Do," pp.1-93.
  11. Kim K. H. and Lee S. C.(2012), "A Study on the Development Directions of Transfer Stations with Traffic Cards Data- Focused on Daegu City," Journal Of The Korean Society Of Civil Engineers, vol. 32, no. 6D, pp.539-547. https://doi.org/10.12652/Ksce.2012.32.6D.539
  12. Gyeonggi Research Institute(2013), "A Study on Development and Application of Rail Station Accessibility Measures Using Traffic Card Data, Gyeonggi Research Institute," pp.1-51.
  13. Lim S. J., Park J. T. and Kim T. H.(2013), "Comparative Study on the Characteristics of Public Transport Users According to the Types of Transit Station Influence Areas in Seoul''s Urban Railway's," Journal of the Korean Society for Railway, vol. 16, no. 2, pp.129-137. https://doi.org/10.7782/JKSR.2013.16.2.129
  14. Hwang J. H.(2014), "Analyzing Factors Affecting Public Transit Transfer Volume: Focused on Daegu City," Journal of Korean Society of Transportation, vol. 32, no. 3, pp.179-186. https://doi.org/10.7470/jkst.2014.32.3.179
  15. Lee J. A., Cho M. S. and Koo J. H.(2013), "Relationship Between Mixed Land-Use Characteristics and Time-Based Patterns of Subway Users: Focused on the Surrounding Areas of Seoul Subway Stations," Journal of the Korea Planning Association, vol. 48, no. 4, pp.19-31.
  16. Kim J. Y., Lim S. Y., Choo S. H., Park I. K. "Analysis of Transit Ridership Patterns and Influencing Factors in Seoul," The Korea Spatial Planning Review, vol. 87, pp.49-65.
  17. Korea Transportation Safety Authority(2014), "2013 Publlic Transit Operation and Usage Survey," pp.167-186.

피인용 문헌

  1. Methodology for Assessing an Integrated Mobility of the Passenger Passing through Intermodal Transit Center vol.16, pp.5, 2017, https://doi.org/10.12815/kits.2017.16.5.12