What does this research mean for the field?

An IT-based Decision Support System (DSS) utilizing real-time data integration can effectively manage highway capacity, enabling predictive planning and mitigating the deterioration of service levels caused by infrastructure capacity reductions in sea-land logistics. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To develop and evaluate a data-driven Decision Support System (DSS) framework that models and manages road network capacity, maintenance, and traffic performance along critical port hinterland corridors.

August 28, 2026The TQM JournalOpen Access

Digital technologies for efficient and resilient sea-land logistics: IT-based decision support systems to manage highway capacity at major gateway ports

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Authors

RVRoberto Viviani FPFrancesco Parola AFAntonella Ferri

Discussion

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Overview

Simulation study reveals that roadwork-induced capacity cuts degrade highway levels of service near ports, highlighting the need for digital decision support systems in freight logistics.

Key Points

To develop and evaluate a data-driven Decision Support System (DSS) framework that models and manages road network capacity, maintenance, and traffic performance along critical port hinterland corridors.
Conceptualized road network performance across three analytical domains: traffic management, maintenance, and infrastructure development.
Engineered an IT-based Decision Support System architecture using Power Query and Power BI to process and integrate traffic indicators.
Simulated system functionality using a synthetic dataset calibrated to emulate realistic highway traffic flows, roadwork disruptions, and bottleneck conditions.
Demonstrated that moderate highway capacity reductions caused by roadwork sites significantly degrade Levels of Service (LOS), disproportionately disrupting freight movements during peak travel hours.
Showed that the DSS platform enables real-time monitoring, multi-scenario evaluation, and predictive planning to preserve port accessibility and support proactive traffic intervention.

Cite This Study

Viviani et al. (2026) studied this question.

synapsesocial.com/papers/6a914613d15324a1df3a9587 https://doi.org/10.1108/tqm-03-2025-0192

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August 28, 2026The TQM JournalOpen Access

Digital technologies for efficient and resilient sea-land logistics: IT-based decision support systems to manage highway capacity at major gateway ports

View Full Paper

Ask AI

Bookmark

Authors

RVRoberto Viviani FPFrancesco Parola AFAntonella Ferri

Discussion

Member takes

Overview

Simulation study reveals that roadwork-induced capacity cuts degrade highway levels of service near ports, highlighting the need for digital decision support systems in freight logistics.

Key Points

To develop and evaluate a data-driven Decision Support System (DSS) framework that models and manages road network capacity, maintenance, and traffic performance along critical port hinterland corridors.
Conceptualized road network performance across three analytical domains: traffic management, maintenance, and infrastructure development.
Engineered an IT-based Decision Support System architecture using Power Query and Power BI to process and integrate traffic indicators.
Simulated system functionality using a synthetic dataset calibrated to emulate realistic highway traffic flows, roadwork disruptions, and bottleneck conditions.
Demonstrated that moderate highway capacity reductions caused by roadwork sites significantly degrade Levels of Service (LOS), disproportionately disrupting freight movements during peak travel hours.
Showed that the DSS platform enables real-time monitoring, multi-scenario evaluation, and predictive planning to preserve port accessibility and support proactive traffic intervention.

Cite This Study

Viviani et al. (2026) studied this question.

synapsesocial.com/papers/6a914613d15324a1df3a9587 https://doi.org/10.1108/tqm-03-2025-0192

View Full Paper

Ask AI

Bookmark