Research Dataset Underlying the Analysis of Dynamic Implementation Bottlenecks in Net Zero Aviation Pathways

This dataset contains the consolidated research data underlying the manuscript analysis of dynamic implementation bottlenecks in net-zero aviation pathways. The dataset was constructed from five publicly available International Air Transport Association (IATA) Net Zero Roadmaps: the Aircraft Technology Net Zero Roadmap (2023), Energy and New Fuels Infrastructure Net Zero Roadmap (2023), Operations Net Zero Roadmap (2023), Net Zero CO2 Emissions Finance Roadmap (2024), and Net Zero CO2 Emissions Policy Roadmap (2024).

The dataset contains 26 pathway–period observations covering six aviation decarbonization pathways: HEFA/near-term sustainable aviation fuel (SAF), power-to-liquid (PtL) SAF, hydrogen aircraft, battery-electric aircraft, operational improvements, and carbon removal. Each coded observation contains five readiness dimensions: Technology (T), Supply (S), Infrastructure (I), Finance (F), and Policy (P). The dataset also contains the average readiness score (AR), bottleneck-adjusted readiness (DBAR), binding-constraint classification, compound-bottleneck indicator, readiness gap, confidence classification, bottleneck migration results, and pathway-level persistence measures.

The quantitative evidence table contains the numerical values used or reported in the manuscript, including SAF production requirements, transition costs, capital-investment requirements, renewable-fuel facility requirements, operational-efficiency indicators, infrastructure requirements, aircraft-technology benchmarks, and policy-related indicators. Source page numbers and evidence-status classifications are retained where applicable to facilitate provenance and reproducibility.

The workbook further provides the roadmap-to-analysis architecture, pathway dependency chains, bottleneck-to-intervention mapping, data dictionary, methodological definitions, and quality-assurance checks.

The readiness scores and associated analytical indicators are researcher-generated ordinal coding constructs based on documentary evidence from the IATA roadmaps. They are not direct physical measurements of technology, infrastructure, finance, supply, or policy readiness. Future-oriented values reported by IATA are retained according to their original status as requirements, estimates, projections, scenarios, or other forms of evidence. Derived values are explicitly identified as derived calculations.

The dataset is provided to support transparency and reproducibility of the analysis reported in the associated research manuscript. The original IATA roadmap documents remain the property of the International Air Transport Association and are not redistributed as part of this dataset.