Feasibility Study on Introduction of Piggy-back System by Applying Transport Database (교통 데이터베이스 적용을 통한 피기백시스템 도입 타당성 연구)

LEE YONG JAE (이용재); Lee, Chul Ung (이철웅); Young-Hoon Kim (김영훈); Han seongho (한성호)

doi:10.9708/jksci.2022.27.01.157

Feasibility Study on Introduction of Piggy-back System by Applying Transport Database

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2022, 27(1), pp.157-166
DOI : 10.9708/jksci.2022.27.01.157
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : November 29, 2021
Accepted : January 3, 2022
Published : January 28, 2022

LEE YONG JAE ¹, Lee, Chul Ung ¹, Young-Hoon Kim ², Han seongho ²

¹고려대학교
²한국철도기술연구원

Accredited

ABSTRACT

In this study, The goal is to analyze the feasibility of introducing a Piggyback system that can reduce the time and cost incurred by transshipment work and improve the transportation speed when transporting complex cargo by rail. To this end, the feasibility analysis methodology is reviewed through domestic and international literature review. In order to quantitatively derive the feasibility analysis values, a transportation database was applied to develop a freight transport simulation model and a freight demand prediction model for major freight transport O-D routes with a transportation distance of 200 km or more. As a result of analyzing economic feasibility by setting the analysis period to 15 years on the premise that the Piggyback System will be introduced on major cargo transport O-D routes in 2025, the NPV value was positive and the B/C value was 1.18, indicating that the Piggyback system was economical. The proposed research method can be meaningful data for establishing transportation policies that can improve the competitiveness of railroad transportation.

KEYWORDS

Piggyback system, Transport Database, Transportation, Transshipment Cargo, Multi-modal, Modal Shift

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* References for papers published after 2023 are currently being built.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Feasibility Study on Introduction of Piggy-back System by Applying Transport Database

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* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Feasibility Study on Introduction of Piggy-back System by Applying Transport Database

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