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Open AccessArticle

Framework and Methodology for Establishing Port-City Policies Based on Real-Time Composite Indicators and IoT: A Practical Use-Case

Departamento de Comunicaciones, Universitat Politècnica de València, 46022 Valencia, Spain
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Sensors 2020, 20(15), 4131; https://doi.org/10.3390/s20154131
Received: 2 July 2020 / Revised: 17 July 2020 / Accepted: 20 July 2020 / Published: 24 July 2020
(This article belongs to the Special Issue IoT-Enabled Smart Cities)
During the past few decades, the combination of flourishing maritime commerce and urban population increases has made port-cities face several challenges. Smart Port-Cities of the future will take advantage of the newest IoT technologies to tackle those challenges in a joint fashion from both the city and port side. A specific matter of interest in this work is how to obtain reliable, measurable indicators to establish port-city policies for mutual benefit. This paper proposes an IoT-based software framework, accompanied with a methodology for defining, calculating, and predicting composite indicators that represent real-world phenomena in the context of a Smart Port-City. This paper envisions, develops, and deploys the framework on a real use-case as a practice experiment. The experiment consists of deploying a composite index for monitoring traffic congestion at the port-city interface in Thessaloniki (Greece). Results were aligned with the expectations, validated through nine scenarios, concluding with delivery of a useful tool for interested actors at Smart Port-Cities to work over and build policies upon. View Full-Text
Keywords: Smart Port-Cities; composite indicator; real-time; Internet of Things; traffic congestion; framework and methodology Smart Port-Cities; composite indicator; real-time; Internet of Things; traffic congestion; framework and methodology
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Lacalle, I.; Belsa, A.; Vaño, R.; Palau, C.E. Framework and Methodology for Establishing Port-City Policies Based on Real-Time Composite Indicators and IoT: A Practical Use-Case. Sensors 2020, 20, 4131.

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