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Journal : Sinergi International Journal of Logistics

Systemic Barriers and Technological Opportunities in Transforming Urban Logistics Rismanto, Hilman
Sinergi International Journal of Logistics Vol. 2 No. 3 (2024): August 2024
Publisher : Yayasan Sinergi Kawula Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/sijl.v2i3.730

Abstract

Urban logistics systems, particularly in the area of last-mile delivery, are undergoing rapid transformation driven by technological advancements such as automation, artificial intelligence, and big data analytics. This study employs a narrative review methodology to examine the interplay between technological innovations and systemic factors influencing logistics performance across urban environments. Literature was systematically gathered from major academic databases using strategic keyword combinations, focusing on social, economic, technological, and institutional dimensions. The results indicate that while emerging technologies significantly enhance delivery efficiency and operational reliability, their impact is often constrained by structural barriers including outdated regulations, limited infrastructure, and socio-economic disparities. Social acceptance, economic readiness, and institutional support emerge as crucial enablers of successful technology adoption. The discussion highlights the necessity for integrated frameworks that address these systemic issues, proposing policy-driven interventions such as collaborative governance models, digital infrastructure investment, and capacity-building initiatives. However, significant gaps remain in the literature, particularly regarding the experiences of low-income urban regions and the role of user behavior in shaping adoption outcomes. This study emphasizes the urgent need for policy alignment and infrastructural equity to ensure that the benefits of innovation are accessible and sustainable across diverse urban contexts. It concludes by advocating for context-sensitive, interdisciplinary research that bridges technological potential with systemic inclusiveness.
Dynamic Routing in Urban Logistics: A Comprehensive Review of AI, Real-Time Data, and Sustainability Impacts Rismanto, Hilman; Judijanto, Loso
Sinergi International Journal of Logistics Vol. 3 No. 2 (2025): May 2025
Publisher : Yayasan Sinergi Kawula Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/sijl.v3i2.741

Abstract

This paper examines the impact of dynamic routing algorithms on urban logistics, focusing on their role in improving operational efficiency and environmental sustainability. With the rise of e-commerce and the increasing complexity of urban transport networks, dynamic routing has emerged as a critical solution for reducing delivery times, optimizing fleet usage, and minimizing emissions. The methodology for this review involved a comprehensive search of key academic databases, including Scopus, IEEE Xplore, and Google Scholar, using relevant keywords and inclusion criteria. The results demonstrate that algorithms integrating real-time data, artificial intelligence, and hybrid optimization models significantly enhance routing decisions. Furthermore, real-time systems that incorporate GIS and IoT data enable more responsive and context-aware logistics operations. However, challenges such as infrastructure disparities, data interoperability, and policy support must be addressed to fully realize the potential of dynamic routing in urban environments. The study concludes by emphasizing the importance of policy interventions and collaborative efforts to overcome these barriers and proposes future research directions to improve scalability and data integration in dynamic routing systems.