A Maturity Assessment Framework for Smart Logistics Parks: Distinctions from Traditional Models and Implications for Transformation

Huiqiong Huang; Woramol Chaowarat  Watanabe

doi:10.69650/ahstr.2025.4242

Authors

Huiqiong Huang Faculty of Logistics and Digital Supply Chain, Naresuan University, Phitsanulok, 65000, Thailand https://orcid.org/0009-0005-6277-3986
Woramol Chaowarat Watanabe Faculty of Logistics and Digital Supply Chain, Naresuan University, Phitsanulok, 65000, Thailand https://orcid.org/0000-0002-1404-3496

DOI:

https://doi.org/10.69650/ahstr.2025.4242

Keywords:

Smart Logistics Parks, Maturity Assessment Framework, Traditional Logistics Parks, Digital Transformation, AHP

Abstract

Smart logistics parks (SLPs) drive modern economies and global supply chains, making maturity assessment essential for guiding investment, improvement and strategic decision-making. Existing maturity assessment models for traditional logistics parks (TLPs) overlook the distinctive advancements of SLPs, underscoring the need for specialized frameworks. In this study, an SLP maturity evaluation model was developed that differentiates SLPs from TLPs assessments to support smart logistics transformation. The framework comprises five core dimensions with 20 sub-factors: Smart Economy, Public Services and Smart Governance, Smart Infrastructure and Intelligent Technology Application, Skilled Human Capital, and Environmental Sustainability. This structure was validated through a literature review and expert input. For comparison, the TLPs model is based on China’s national standard. Using the Analytic Hierarchy Process (AHP) to determine factor importance, results indicate that SLPs prioritize Smart Infrastructure and Intelligent Technology Application (0.3229), followed by Public Services and Smart Governance (0.2447). In contrast, TLPs place the highest emphasis on Service Capability and Operation Management (0.3317). While both models value infrastructure, operational services, and environmental considerations, SLPs place stronger emphasis on technological innovation and digital governance, whereas TLPs focus on operational efficiency and service quality. These findings confirm that although infrastructure and operations remain central to both, transitioning to SLPs demands a greater focus on intelligent technology. This study provides empirical evidence that the SLPs' transformation necessitates the integration of intelligent systems while simultaneously maintaining efficiency, service quality, and sustainability. This research offers practical guidance for investors, policymakers, and operators.

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