{"id":249335,"date":"2025-01-20T23:00:00","date_gmt":"2025-01-20T22:00:00","guid":{"rendered":"https:\/\/cimne.com\/new-study-introduces-framework-for-quantifying-road-transport-emissions-in-seaports\/"},"modified":"2025-10-27T09:29:12","modified_gmt":"2025-10-27T08:29:12","slug":"new-study-introduces-framework-for-quantifying-road-transport-emissions-in-seaports","status":"publish","type":"post","link":"https:\/\/cimne.com\/es\/new-study-introduces-framework-for-quantifying-road-transport-emissions-in-seaports\/","title":{"rendered":"New Study Introduces Framework for Quantifying Road Transport Emissions in Seaports"},"content":{"rendered":"

A novel study by researchers at CIMNE and the Port of Barcelona has developed an innovative framework to accurately quantify greenhouse gas (GHG) emissions from road transport activities within seaports. The research, which combines advanced data collection methods and analytical tools, addresses critical gaps in emissions tracking for complex port operations. Its findings were recently presented at the Transportation Research Board (TRB) Annual Meeting 2025<\/a><\/span> in Washington, DC, a global gathering of transport sector experts.<\/p>\n

The study, titled “Comprehensive Methodology for Assessment of Road Transport Emissions in Seaports: Port of Barcelona Case Study,”<\/strong> was conducted by Maurici Hervas<\/a><\/span>, Dr Sergi Saurí<\/a><\/span>, and Matteo Boschian Cuch<\/a><\/span> from CIMNE’s transport innovation unit CENIT, alongside Joaquim Cortes<\/a><\/span> from the Port of Barcelona. By leveraging Automated License Plate Recognition (ALPR) technology, the methodology constructs a detailed origin-destination matrix of vehicle movements, enabling precise calculations of travel distances and associated emissions.<\/p>\n

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CIMNE's Matteo Boschian at the TRB Annual Meeting 2025<\/span><\/p>\n

The transport sector accounts for 25% of Europe’s total GHG emissions<\/strong>, with road transport responsible for 71% of that share. As critical supply chain hubs, ports play a pivotal role in advancing environmental sustainability, yet the diversity of vehicles and activities within these areas complicates emissions quantification. This research bridges that gap through a bottom-up approach tailored to port-specific dynamics.<\/p>\n

Key elements of the methodology involve several steps. Data collection<\/strong> is conducted using ALPR cameras, which record vehicle entry and exit points, travel directions, and timestamps. Distance estimation<\/strong> is carried out using tools such as Google Maps to map the shortest travel paths between network nodes. Lastly, emission calculations<\/strong> are performed by analysing fleet composition, emission factors, and idle times to estimate emissions during both cruising and idle modes.<\/p>\n