| 제목 | 택배 물동량 빅데이터를 활용한 도심 공동택배터미널 최적 용량 및 입지 선정 연구 |
|---|---|
| Title | A Study on Optimal Capacity and Location Selection for Urban Joint Courier Terminals Using Big Data on Parcel Volume |
| 저자 |
김수형 (한국철도기술연구원 미래교통물류연구소 첨단물류시스템연구실) 김도현 (한국철도기술연구원 미래교통물류연구소 첨단물류시스템연구실) 김영훈 (한국철도기술연구원 미래교통물류연구소 첨단물류시스템연구실) 권용장 (한국철도기술연구원 미래교통물류연구소 첨단물류시스템연구실) 손승오* (한국철도기술연구원 미래교통물류연구소 첨단물류시스템연구실) |
| Author |
Su-hyeong Kim (Department of Advanced Logistics System Research,Innovative Transportation and Logistics Research Center, Korea Railroad Research Institute) Dohyun Kim (Department of Advanced Logistics System Research,Innovative Transportation and Logistics Research Center, Korea Railroad Research Institute) Young-Hoon Kim (Department of Advanced Logistics System Research,Innovative Transportation and Logistics Research Center, Korea Railroad Research Institute) Yong-Jang Kwon (Department of Advanced Logistics System Research,Innovative Transportation and Logistics Research Center, Korea Railroad Research Institute) Seung-oh Son* (Department of Advanced Logistics System Research,Innovative Transportation and Logistics Research Center, Korea Railroad Research Institute) |
| Bibliography | Journal of Logistics Science & Technology, 5(3),19~35, 2024, |
| DOI | 10.23178/jlst.5.3.202409.002 |
| Key Words | Big Data, Parcel Volume, Urban Joint Courier Terminal, Covering Problem, Cluster Analysis |
| Abstract | This study selected the optimal location and capacity of a Urban Joint Courier Terminals in Seoul based on the connectivity with idle land in the city center using the CLSCP-SO (Capacitated Location Set Covering Problem - System Optimal) model, which has facility capacity limitations among covering problems. The Euclidean distance was used as the criterion for evaluating connectivity, and the case with the smallest value was judged as optimal. As a result, three locations were selected as optimal cases with the capacity to handle 50% of the average daily demand occurring in all administrative districts of Seoul. Furthermore, through K-means cluster analysis, the Seoul population was classified into four types: ‘leisure-centered’, ‘residential-centered’, ‘work-centered’, and ‘residential-leisure complex’, and whether the three selected locations balancedly included the diversity of consumer life patterns. The maximum and minimum value differences between the four types existing within the coverage of each of the three selected locations were confirmed as the evaluation criteria. As a result, it was shown that the types were not concentrated in any one location, and thus the diversity was balanced. This will provide useful implications for responding appropriately to rapidly changing future demands when operating Urban Joint Courier Terminals in the future. |
| PDF download | JM_5[3]-P19~35.pdf |