| 제목 | 다수단 연계 스마트 모빌리티를 통한 인천시 소상공인 물류서비스 향상 방안 연구: 지하철과 트럭을 통한 퍼스트마일 서비스를 중심으로 |
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| Title | Multi-Modal Smart Mobility for Improving First-Mile Logistics Services for Small Businesses in Incheon |
| 저자 |
김동현 (인하대학교 아태물류학부) 김우석 (인하대학교 아태물류학부) 강명구 (인하대학교 아태물류학부) 남대식 (인하대학교 아태물류학부) |
| Author |
Donghyun Kim (Asia Pacific School of Logistics, INHA University) Wooseok Kim (Asia Pacific School of Logistics, INHA University) Myeonggu Kang (Asia Pacific School of Logistics, INHA University) Daisik Nam (Asia Pacific School of Logistics, INHA University) |
| Bibliography | Journal of Logistics Science & Technology, 6(1),17~37, 2025, |
| DOI | 10.23178/jlst.6.1.202503.002 |
| Key Words | Small Business, Logistics Competitiveness, Subway logistics, Efficiency, Carbon reduction |
| Abstract | This study analyzes the efficiency and environmental sustainability of the first-mile logistics support demonstration project for small businesses in Incheon. Additionally, it examines the expected workforce and carbon emissions if the project expands into a multi-modal logistics support system. This service is a policy aimed at enhancing the logistics competitiveness of small businesses. Therefore, this study analyzes the current operational processes and explores improvement strategies to provide reference indicators for similar future policies. Furthermore, through simulations, the study investigates the anticipated changes in carbon emissions and workforce requirements when introducing currently absent subway logistics and pedestrian collection systems. As a research method, first-mile logistics data as of June 10, 2024, were collected, including vehicle allocation status, pickup truck driving distance, number of operations, and small business demand. The analyzed data were then compared with optimized values to derive an efficient vehicle dispatch scenario. Additionally, the study identifies small businesses that could utilize a multi-modal logistics support system and, through simulations, estimates workforce changes and carbon emissions upon service introduction. Ultimately, this study aims to optimize vehicle routing for sustainable logistics services and provide operational insights for the potential expansion of multi-modal logistics demonstration projects. |
| PDF download | JM_6[1]-P17~37.pdf |