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    Item type:Publication,
    A Systematic Literature Review of Last-Mile Delivery: Analyzing Current Situations and Identifying Research Gaps for Future Perspectives
    (2025-01-01)
    Akkawuttiwanich, Piyanee
    ;
    Noom, Sai Pim Khay
    ;
    Sanganate, Phuwit
    ;
    Rattanakijsuntorn, Waralee
    Last-mile delivery (LMD) has become a critical challenge in logistics, driven by the rapid rise of e-commerce and growing consumer expectations for speed, flexibility, and sustainability. Despite significant advances in optimization models, simulation techniques, and machine learning applications, existing reviews remain fragmented and offer limited comparison of methodological strengths. This study addresses this gap through a systematic literature review of LMD research published between 2019 and 2025, following the PRISMA framework. Out of 162 screened publications, 33 were analyzed using bibliometric mapping in R and methodological clustering in Python. The analysis identifies four methodological streams: optimization and mathematical modeling, simulation and heuristics, multi-criteria and learning models, and literature-based analytical studies. Beyond classification, the study highlights critical gaps, including the limited integration of behavioral factors, financial trade-offs, and policy implications. By mapping methodological trends and proposing targeted research directions, this work provides a foundation for advancing more resilient, adaptive, and sustainable last-mile delivery systems.
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    Exploring the knowledge system in building information modeling (BIM) technology for medical construction projects (MCPS): A bibliometric analysis and prospective direction
    (2024-09-01)
    Chen, Jiahao
    ;
    Laokhongthavorn, Laemthong
    This paper investigates the knowledge system in Building Information Modeling (BIM) technology in Medical Construction Projects (MCPs). Specifically, it proposes knowledge graph analysis utilizing scient metric techniques and employs VOSviewer and CiteSpace software to analyze the consequence of relevant statistics from the literature concerning BIM medical construction projects (BIM-MCPs). In order to analyze the collaboration network, the analysis of the co-occurrence network, and the analysis of the co-citation network, 83 journal articles were gathered. The results obtained from the research indicate that (a) the intellectual framework of BIM-MCPs can be categorized into four distinct clusters. (b) The research focus in BIM-MCPs has evolved, including model development, frameworks, implementation, system integration, application throughout the entire lifecycle, emergency medical engineering project applications, and intelligent management of medical facilities and smart buildings. (c) Prospective directions for research are delineated in three distinct areas: enhancement of use for BIM Medical Facility Management (BIM-MFM), integration of BIM technology in sustainability assessment, and application of BIM technology in emergency medical engineering and smart medical construction.