"Greener skies for a brighter aviation future: From prediction and optimisation to socio-economic impacts in sustainable air traffic management and aviation meteorology"

Call for Papers-"Greener skies for a brighter aviation future: From prediction and optimisation to socio-economic impacts in sustainable air traffic management and aviation meteorology"

Journal: Journal of Air Transport Management

Publisher: Elsevier

Submission Deadline: 28 Feb 2027

Key Requirements:

• Must address economic/management/policy implications alongside technical ATM

• Real-world data, ML models, simulation environments encouraged

• 92-95% emissions from flight operations (6-10% ATM inefficiencies)

Overview

92-95% aviation CO2 from flight operations (6-10% ATM inefficiencies), plus contrails (55% radiative forcing). Seeks predict-then-optimise (PTO/SPO), AI/ML weather forecasting, ATFM optimization balancing operational efficiency with Fly Net Zero 2050 goals.

Key Research Themes

• Prediction-optimisation frameworks with environmental/economic assessments

• Radiative forcing trade-offs (CO2/non-carbon/contrails) cost-benefit analysis

• Aviation weather forecasting, delay management, ATFM optimisation

• Sustainable airspace/airport operations strategies

• Decarbonisation economics, policy incentives, regulatory frameworks

• Stakeholder engagement/change management for green ATM

Submission Details

• Opens: 01 July 2026

• Closes: 28 February 2027

• MANDATORY: Select "VSI: Green ATM: Tech to Socio-Econ" article type

Guest Editor Team

• Dr. Kam K.H. Ng, Associate Head/Associate Professor, The Hong Kong Polytechnic University, Hong Kong SAR

• Prof. Mark Hansen, University of California, Berkeley, USA

• Prof. Daniel Delahaye, Ecole Nationale de l'Aviation Civile, Toulouse, France

• Dr. Yoonjin Yoon, Associate Professor, KAIST, Korea

Why This Issue Matters

Addresses ICAO-identified ATM inefficiencies (6-10% emissions) through integrated technical-economic solutions. Essential for airlines/ATCOs balancing contrail avoidance, SAF adoption, and operational constraints.

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