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Analysis on the Car Ownership Structure Considering Household Car Ownership Pattern

가구별 차량보유패턴을 고려한 차량 보유구조 분석

  • Received : 2016.04.05
  • Accepted : 2016.05.11
  • Published : 2016.08.01

Abstract

The goal of this study is to be used as baseline data for transportation demand management. At the present time the number of registered car and householding car is increasing, so there is a need to analyze the car ownership pattern through household car hold status. Also, it is necessary to analyze the factor of increasing car. The research is proceeded with classifying as the household which is holding private cars or holding passenger cars and non passenger cars based on the result of the research of the household travel survey data. The result of this study is shown as follows. According to car ownership pattern, there are more households holding passenger cars only when they are holding less than 2 cars. Otherwise there are more households holding passenger car and non passenger car when they are holding more than 3 cars. Using the Ordered Logit Model, there are more differences in factors affects holding cars by variables of housing type and household properties.

본 연구는 향후 교통수요관리를 위한 기초 자료로 활용하고자 가구별 차량보유패턴 및 보유구조를 분석하였다. 차량등록대수와 가구당 차량보유대수가 증가하는 현시점에 가구별 차량보유실태를 통해 보유패턴에 대해 알아 볼 필요가 있다. 또한 차량 증가 원인에 대해 분석 할 필요가 있을 것이다. 가구통행실태 조사의 결과를 바탕으로 승용차를 보유하고 있는 가구와 승용차 및 비승용차 보유하는 가구로 구분하여 연구를 진행하였고 주요 결과는 다음과 같다. 차량보유구조 패턴을 통해 가구당 차량보유대수가 2대 이하인 경우에는 승용차만을 보유하는 가구수가 많았으며 3대 이상의 경우 승용차만 보유하는 가구보다 비승용차와 함께 보유하는 가구 비율이 증가한다는 것을 알 수 있었다. 순서형 로짓 모형을 활용하여 가구별 차량 보유구조를 분석한 결과 가구 속성 자료 및 주거형태 변수에 따라 차량보유에 영향을 주는 요인들이 차이가 있는 것으로 나타났다.

Keywords

References

  1. Chung, J. H. and Lee, D. K. (2001). "Ordered-response probit model with censoring and heterogeneity for household-base vehicle ownership - A Case of Seoul City -." Journal of the Korean Society of Civil Engineers, Korean Society of Civil Engineers, Vol. 21, No. 6D, pp. 755-763.
  2. Han, S. Y., Lee, J. M. and Kim, T. S. (2012). "Estimating elasticities of car travel demand using pseudo-panel data." Journal of Korean Society of Transportation, Korea Society of Transportation, Vol. 30, No. 2, pp. 7-20.
  3. Joo, J. H., Yeon, J. Y. and Jang, D. I. (2014). "Analysis on passenger car travel characteristics by household type." Journal of Korean Society of Transportation, Korea Society of Transportation, Vol. 32, No. 4, pp. 347-356. https://doi.org/10.7470/jkst.2014.32.4.347
  4. Kang, S. C., Nam, S. Y. and Kim, M. B. (2009). "Analysis of determinant factor of employee's vehicle ownership and travel mode choice." Korean Policy Science Review, Korean Association for Policy Sciences, Vol. 13, No. 1, pp. 287-302.
  5. Kim, H. W., Lee, D. H. and Yang, J. S. (2014). "Forecasting of car distribution considering the population aging." Korea Journal of Construction Engineering and Management, Korea Institute of Construction Engineering and Management, Vol. 15, No. 5, pp. 31-39.
  6. Kim, S. R., Byun, W. H. and Kim, T. G. (2011). "The analysis of national rental housing vehicle ownership based on regional characteristics : Through Residents' Survey." Proceedings of the KOR-KST Conference, Korean Society of Transportation, Vol. 65, pp. 174-179.
  7. Lee, J. M., Seo, S. B. and Han, S. Y. (2013). "A study on modelling household's car ownership structure in Korea." Journal of Korea Planning Association, Korea Planning Association, Vol. 48, No. 3, pp. 111-128.
  8. Lee, S. W., Min, S. H., Park, J. Y. and Yun, S. D. (2005). The practice on logit & probit model, Pybook (in korean).
  9. Park, S. J. and Kim, S. S. (2007). "A nested logit model of auto ownership and vehicle type choices." Journal of Korean Society of Transportation, Korean Society of Transportation, Vol. 25, No. 1, pp. 133-141.