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MAGPIE Emission mapping tool

Digitalisation

Introduction

Emission mapping is the use of data, modelling and interactive visualisation to estimate where, when and from which activities emissions arise in and around a port. For a port authority, the value is not simply to produce another emissions total, but to make emissions understandable in their operational and geographic context. The Emission Mapping Tool developed by IFPEN was designed to contextualise CO2 emissions from port-related activities with emissions from surrounding areas, so that decision-makers can see the relative contribution of port activities and the wider road network over the course of a day. It is therefore best understood as a planning and monitoring aid: a way to turn dispersed data into an evidence base that can be discussed across operational, environmental and strategic teams. The approach combines two complementary views. For road traffic, emissions can be estimated at road-segment level from road characteristics, traffic flows and vehicle-fleet composition. For container terminals, emissions are estimated from port activity, including trucks, straddle carriers and lifting cranes; emissions from ships at berth can also be represented. Results are brought together on a common spatial and temporal frame and presented through maps, indicators and time profiles, in a form that local authorities can interrogate without running the underlying models themselves.

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

The tool is most valuable where port activities interact with dense hinterland traffic or urban areas, but the underlying approach can be adapted to different port profiles. The level of detail depends on the availability of activity data and the sources that the port chooses to represent.

Impact

Impact level per aspect
ImpactLevelRemark
Energy EfficiencyMedium 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 emissionsMedium 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 pollutantsMedium 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 CityLarge 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 ImpactMedium 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

Implementation is mainly a data and governance exercise rather than a major physical-infrastructure project. The port needs to define the decision questions, agree the geographical and temporal scope, identify data owners, and establish a process for maintaining and validating the data. The technical platform can then ingest data, run the modelling workflow and publish results through an interactive dashboard.

Barriers and enablers

Enablers

  • clear governance owner within the port authorityEnabler
  • Agreed data definitionsEnabler
  • Regular validation with terminal and traffic stakeholdersEnabler
  • Transparent documentation of assumptionsEnabler
  • Common objectiveEnabler

    Such as supporting the port’s decarbonisation or air-quality strategy

Barriers

  • Fragmented ownership of dataBarrier
  • Reluctance to share operational informationBarrier
  • Inconsistent definitions of activity indicatorsBarrier
  • Unclear responsibility for maintaining assumptionsBarrier
  • Uncertainty about how modelled results should be used in investment or regulatory decisionsBarrier

How to implement?

  1. Step 1

    Define scope and use cases

    select emission sources, geography, target decisions and KPIs

  2. Step 2

    Data inventory and access

    identify data owners, obtain sample datasets and document data gaps

  3. Step 3

    Baseline configuration

    configure models, spatial layers and assumptions; validate indicative results with stakeholders

  4. Step 4

    Dashboard and scenario setup

    publish maps, KPIs and a small number of decision-relevant scenarios

  5. 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

  6. 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?

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Stakeholder overview

Roles should be assigned around data ownership, model assumptions, validation and decision use. Not every stakeholder must interact with the technical platform directly; many provide inputs or review the results. Port Authority: Own the objective, define the scope and KPIs, coordinate data access, validate results and embed findings in the port strategy. Provide, where feasible, vessel-call and berth-related information and discuss scenarios such as shore power or changes in vessel operations. Terminal Operators: Provide throughput, equipment activity, equipment characteristics and operational assumptions; validate whether mapped patterns reflect terminal reality. National & International Regulators: Provide relevant methodological, reporting or air-quality requirements and use results as supplementary evidence where appropriate. The mapping tool should not be assumed to replace official inventories or regulatory reporting without validation. Research & Development Institutions: Improve models, validate assumptions, extend pollutants or scenarios, quantify uncertainty and adapt the approach to new port contexts. Local Government & Community Groups: Provide local context, identify issues of shared concern and use the results to support dialogue on port-city impacts.

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.