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

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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Choice Factors of Freight Transport Mode in Korea: Literature Review and Directions for Future Research

국내 화물운송수단 선택요인의 문헌 연구와 향후 연구 방향

  • Choi, Chang-Ho (Division of Logistics and International Trade, Chonnam National University)
  • Received : 2018.07.09
  • Accepted : 2018.08.03
  • Published : 2018.08.31
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Abstract

The present study was conducted to analyze transport mode choice factors of shippers in Korea and to suggest policy implications and directions for future research. The findings showed that the research on freight mode choice factors in Korea is somewhat insufficient compared to that of other countries. In order to enhance the research, it is necessary to expand the number of studies and to strengthen the research to reflect characteristics of each transport mode. In particular, it is necessary to focus on identifying the characteristics of multimodal transport, including railway and shipping linked to truck. On the other hand, it was confirmed that the major factors influencing the choice of transport mode of shippers in Korea overlapped with foreign research cases. In addition, the implications for policy were derived when the analysis was separately conducted for Korea and other countries regarding individual transport mode and transport range. These results could be applied to various fields such as policy making to improve the efficiency of shippers' selection of transport mode and the estimation of transport mode choice model.

본 연구는 우리나라에서 이루어진 화주의 운송수단 선택 요인 연구들을 분석하여 정책적 시사점과 향후 보완방향을 도출하고자 수행하였다. 연구의 결과 우리나라의 화물 운송수단 선택 요인 연구는 외국에 비해 다소 미흡하게 나타났다. 이를 보완하기 위해서는 연구 횟수를 확대하는 것이 우선되어야 하며, 운송수단별 특징이 반영되도록 연구를 심화하는 것도 병행되어야 한다. 특히 공로와 연계되는 철도와 해운을 포함한 복합운송 특성을 파악하는데 주안점을 둘 필요가 있다. 반면에 우리나라 화주의 운송수단 선택에 영향을 미치는 주요 요인은 외국의 사례와 상당부분 일치하는 것이 확인되었다. 또한 개별 운송수단 및 운송범위를 국내와 국외로 구분하여 분석한 결과에서도 정책적으로 활용할 만한 시사점이 도출되었다. 이러한 연구 성과는 화주의 운송수단 선택 효율성을 증진시키는 정책 발굴과 운송수단 선택 모형 추정 등 다양한 분야에 활용이 가능할 것으로 기대된다.

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