A Network-Based Spatial Assessment of Road Accessibility and Logistics Vulnerability

Ibrahim Badi; Dragan Pamucar

doi:10.67334/cds31202640

Authors

Ibrahim Badi Department of Mechanical Engineering, Libyan Academy-Misrata, Libya Author https://orcid.org/0000-0002-1193-1578
Dragan Pamucar 1) Department of Applied Mathematical Science, College of Science and Technology, Korea University, Sejong 30019, Republic of Korea; 2) Szechenyi Istvan University, Gyor, Hungary; 3) Transport and Logistics Competence Centre, Vilnius Gediminas Technical University, Vilnius, Lithuania Author https://orcid.org/0009-0001-9876-0328

DOI:

https://doi.org/10.67334/cds31202640

Keywords:

Road accessibility, Logistics vulnerability, Network analysis, Strategic corridors, CRITIC, Spatial decision support

Abstract

Road accessibility is a key determinant of logistics resilience, territorial connectivity, emergency response capability, and regional development. In geographically extensive countries with uneven settlement patterns, logistics vulnerability is influenced not only by travel distance but also by network topology, corridor dependency, and the availability of alternative routes. Despite Libya's strategic position within regional trade networks, a comprehensive network-based framework for evaluating municipal logistics vulnerability has been lacking. This study develops a spatial network assessment framework to analyze road accessibility and logistics vulnerability across Libya. The national road system is modeled as a strategic logistics network connecting twenty major municipalities with maritime gateways and inland logistics hubs. Six indicators are incorporated to capture complementary dimensions of accessibility and network performance: network distance to ports, network distance to logistics hubs, distance to the coastal corridor, road passability exposure, route criticality exposure, and network redundancy constraint. Objective indicator weights are determined using the CRITIC method, and a composite logistics vulnerability index is constructed to classify municipalities and identify critical transport corridors. The findings reveal two dominant drivers of logistics vulnerability: the geographical isolation of southern and peripheral municipalities from coastal gateways and the concentration of national freight flows along a limited number of highly critical corridors. Kufra, Ghadames, Murzuq, Nalut, Ajdabiya, Gharyan, Sirte, and Zliten are identified as the most vulnerable municipalities, while the Misrata–Sirte, Ajdabiya–Sirte, Ajdabiya–Benghazi, and Misrata–Sabha corridor systems emerge as the most critical network segments. The proposed framework provides a robust spatial decision-support tool for infrastructure investment prioritization, corridor resilience planning, logistics network management, and evidence-based regional development policy in Libya.

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