The Journal of The Korea Institute of Intelligent Transport Systems (한국ITS학회 논문지)

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
권호 표지
DOI QR코드

DOI QR Code

Identification of Key Factors of Travel Time Budget by Mode in Seoul: Using Seemingly Unrelated Regression Model

서울 거주자의 수단별 이용시간 영향요인 규명: SUR모형을 활용하여

  • 김수재 (홍익대학교 도시계획과) ;
  • 임수연 (홍익대학교 도시계획과) ;
  • 최성택 (홍익대학교 과학기술연구소) ;
  • 추상호 (홍익대학교 건설도시공학부) ;
  • 안우영 (국립공주대학교 건설환경공학부)
  • Received : 2016.05.26
  • Accepted : 2016.06.22
  • Published : 2016.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

This study identified the factors that affect travel time budget by mode for traveler in Seoul using the SUR model. Individual, household and TAZ characteristics were selected as the explanatory variables. Transportation modes are summarized from 18 types to 6 types(walking, personal car, bus, subway, rail and bicycle). The results showed a distinct difference between personal transportation and public transportation. First of all, People who owned a car and driver's licence tend to prefer personal transportation. In addition, we can confirm the relationship between the bus and the subway which are most typical public transportation. Passengers who can available a personal mode preferred the subway than the bus. It is expected to suggest various implications related to the public transportation policy for Seoul metropolitan area.

본 연구는 SUR모형을 활용하여 서울 거주자의 수단별 통행시간 비율에 대한 영향요인을 규명하였다. 영향요인은 가구원 및 가구의 특성, 존 특성 변수 등을 선정하였다. 통행수단은 기존의 18개 유형을 압축하여 도보, 개인통행수단, 버스, 지하철, 철도, 자전거 등 6개 수단으로 재 정의하였다. 분석 결과, 개인교통수단과 대중교통간의 뚜렷한 차이를 발견하였다. 우선 차량을 보유하고 운전면허가 있는 경우에는 개인통행수단을 이용하는 경향이 강한 것으로 나타났다. 이와 함께 대표적인 대중교통 수단인 버스와 지하철간의 상관관계를 파악할 수 있었다. 지하철 수단은 개인통행수단이 이용 가능한 통행자가 함께 이용하는 패턴을 보인 반면, 버스 수단은 개인통행수단 이용이 어려운 경우에 이용하는 경향을 보였다. 이러한 선호도는 향후 서울을 포함한 수도권의 대중교통 정책을 수립함에 있어 다양한 시사점을 제시할 수 있을 것으로 기대한다.

Keywords

References

  1. Prendergast L. S. and Williams R. D.(1981), "Individual travel budgets," Transportation Research Part A: General, vol. 15, no. 1, pp.39-46. https://doi.org/10.1016/0191-2607(83)90014-6
  2. Mokhtarian P. L. and Salomon I.(2001), "How de rived is the demand for travel? Some conceptual and measurement considerations," Transportation Research A 35, pp.695-719. https://doi.org/10.1016/S0191-2615(00)00015-1
  3. Choi S. T., Kim S. J., Jang J. Y., Lee H. S. and Choo S. H.(2015), "A Study on the Key Factors Affecting Travel Time Budget for Elderly Pedestrians," The Journal of the Korea Institute of Intelligent Transportation Systems, vol. 14, no. 4, pp.62-72. https://doi.org/10.12815/kits.2015.14.4.062
  4. Fraire M.(2006), "Multiway data analysis for com paring time use in different countries-application to time budgets at different stages of life in six european countries," Electronic International Journal of Time Use Research, vol. 3, no. 1, pp.88-109. https://doi.org/10.13085/eIJTUR.3.1.88-109
  5. Levinson D. and Kumar A.(1995), "Activity, travel and allocation of time," APA Journal Autumn, vol. 61, no. 4, pp.458-470.
  6. Marchetti C.(1994), "Anthropological invariants in travel behavior," Technological Forecasting and Social Change, vol. 47, no. 1, pp.75-88. https://doi.org/10.1016/0040-1625(94)90041-8
  7. Zahavi Y.(1979), UMOT Project, Prepared for US Department of Transportation, Washinton DC and Ministry of Transport, Federal Republic of Germany, Bonn. Report DOT-RSPA-DPB-20-79-3, August.
  8. Barnes G.(2001), "Population and Employment Density in Large U.S Cities," Minnesota Department of Transportation.
  9. Schafer A. and Victor D. G.(2000), "The future mobility of World Population," Transport Research Part A: General, vol. 34, no. 3, pp.171-205. https://doi.org/10.1016/S0965-8564(98)00071-8
  10. Mokhtarian P. L. and Chen C.(2004), "TTB or not TTB, that is a question: A review and analysis of the empirical literature on travel time(and money)budgets," Transportation Research A 38, pp.643-675.
  11. Choo S. H. and Na S. W.(2011), "Exploring characteristics on travel time budget : A case study of Seoul Metropolitan Area," Journal of the Korean Urban Management Association, vol. 24, no. 2, pp.3-22.
  12. Kim T. H., Park J. J., Lee K. Y. and Park Y. D.(2009), "Analysis and Estimation of Factors Affecting Travel Time Budget," Korean Society of Road Engineers, vol. 11, no. 3, pp.13-21.
  13. Park Y. D.(2007), "Analysis and Estimation of Factors Affecting Travel Time Budget," Hanyang University.
  14. Jeon I. J.(2010), "Study on the Factors Affecting Leisure Time Budget," Hanyang University.
  15. Koran Transport Database, http://www.ktdb.go.kr/ko/web/guest/185, 2016.03.25.
  16. Baum C. F.(2006), "An Introduction to Modern Econometrics Using Stata," Stata Press.
  17. Min I. S. and Choi P. S.(2012), "Advanced Panel Data Analysis," The Korean Association of STATA, Jiphil Press.

Cited by

  1. Analysis of Factors Affecting Travel Time Change Using the Time Use Survey Data in Seoul vol.17, pp.1, 2018, https://doi.org/10.12815/kits.2018.17.1.01