Introduction
Value proposition
Interactive map
Integrate heterogeneous activity
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Compare scenarios
Support strategic decisionmaking
An interactive map can integrate heterogeneous activity and traffic data into a common view. Users can inspect emissions by location and time, compare scenarios, and examine source contributions. The resulting evidence can inform measures such as changes in traffic management, modal split, fleet renewal, electrification of equipment, or shore power, while also improving communication with local authorities and communities.
Port applicability
Impact
| Impact | Level | Remark |
|---|---|---|
| Energy Efficiency | Medium impact | By showing where and when activity generates emissions, the tool can help identify inefficient operating patterns and assess alternatives that reduce energy demand, such as electrification or changes in traffic management. The underlying models can also relate emissions to operational drivers such as speed, slope and equipment activity. |
| GHG emissions | Medium impact | CO2 is the main demonstrated application. The tool can show hourly CO2 contributions from road traffic, inland port equipment and ships at berth, and normalise results by port activity such as container or TEU throughput. This supports baseline assessment and comparison of decarbonisation scenarios. |
| Air pollutants | Medium impact | The later tool development extends the same source-resolved framework to local pollutants including NOx, CO, HC and exhaust and non-exhaust particulate matter, in addition to CO2. The source-apportionment logic therefore provides a pathway from carbon mapping to wider air-quality analysis. |
| Port City | Large impact | This is a central benefit. The tool is explicitly designed to contextualise port emissions with surrounding road-traffic emissions, helping port authorities understand their contribution within the wider urban area and communicate evidence with local authorities. |
| Community Impact | Medium impact | Better spatial understanding of emissions can help identify areas where port activity overlaps with residential or other sensitive urban areas. The current platform reports emissions rather than concentrations or exposure, so further dispersion and exposure modelling is needed before making claims about population exposure. |
Port characteristics
How to implement?
- Step 1
Define scope and use cases
select emission sources, geography, target decisions and KPIs
- Step 2
Data inventory and access
identify data owners, obtain sample datasets and document data gaps
- Step 3
Baseline configuration
configure models, spatial layers and assumptions; validate indicative results with stakeholders
- Step 4
Dashboard and scenario setup
publish maps, KPIs and a small number of decision-relevant scenarios
- Step 5
Validation and pilot use
compare results with available measurements or established inventories, review assumptions, train users and agree how results will be communicated
- Step 6
Operationalisation
automate refreshes, update fleet/activity assumptions and use results in planning cycles
What should a port do in the next 3 years?
Stakeholder overview
Knowledge base and references
- MAGPIE Deliverable D4.4, Data Models and Data Analytics for Green Ports, sections 2.3, 3.2 et 4.1.
- Sabiron, G., De Nunzio, G., Pernet, N., El Feki, A., Bussod, S. (2027). Source Apportionment of Pollutant Emissions with PLANET’AIR: A Digital Platform for Enhanced Air Quality Decision-Making. In: Brandstätter, B., De Gennaro, M. (eds) EARPA Form Forum 2025. SpringerBriefs in Applied Sciences and Technology. Springer, Cham.: doi.org/10.1007/978-3-032-28319-1_7 (opens in new tab)
- De Nunzio, G., Bussod, S., Muilwijk, C., Doma, M. (2026). Assessing the Potential for CO₂ and Pollutant Emission Reduction via Redistribution of Port-Induced Road Traffic: A Case Study of the Port of Rotterdam., In: Proceedings of the 11th TRA Conference, Budapest 2026.
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