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Can Rail Reduce British Aviation Emissions: Airport-to-Airport Origin-Destination Data, 1990-2021
Creator
Morgan, M, University of Leeds
Study number / PID
857557 (UKDA)
10.5255/UKDA-SN-857557 (DOI)
Data access
Open
Series
Not available
Abstract
The data collection contains airport-airport origin-destination data for UK domestic and international flights between 1990 and 2021. The data includes estimates of the number of flights, passengers, and emissions in the form of tables and GIS-compatible formats. The data was derived from airport statistics and can be used to understand temporal-spatial trends in aviation demand and emissions.
Data contains three files:
airports - a shape file with the point locations of the airport used in the analysis
OD_lines - a shape file with the origin-destination lines between airports (great circle distance)
OD_attributes - a CSV file with columns for passengers, flights, and emissions for each year between 1990 and 2021. The attributes can be joined to the shape file via a shared id value.The UK is facing an energy crisis on three fronts: climate change, energy security, and affordability. This challenge requires a fundamental change in our society, to enable a deep energy demand reduction and wide use of low-carbon technologies, supported by policy, businesses and the public alike. Energy demand reduction is in fact fundamental so that we can improve energy security, reduce household energy bills and address climate change. Research has shown that reducing energy use could help meet half of the required emissions reductions we need by 2050 to become a Net Zero society. While this poses a challenge, it also provides an opportunity for the UK to become a global leader in energy demand reduction, and associated research.
The Energy Demand Research Centre (EDRC) develops the next phase of energy demand research in the UK, building on previous research and working closely with academic and non-academic partners. Our work will inform and inspire energy demand reductions that support an affordable, comfortable and secure Net Zero society. Our research programme cuts across different sciences (e.g. engineering and social) and sectors (e.g. buildings, transport and...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
30/01/2022 - 30/01/2022
Country
United Kingdom, World Wide
Time dimension
Not available
Analysis unit
Other
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Geospatial
Data collection mode
Data was derived from the Civil Aviation Authority airport statistics https://www.caa.co.uk/data-and-analysis/uk-aviation-market/airports/uk-airport-data/ which was then cleaned standardised and geo-located to create airport-airport origin-destination desire lines. Emissions factors were applied to the number of passenger kilometres to estimate annual emissions for each OD pair.
Funding information
Grant number
EP/Y010078/1
Access
Publisher
UK Data Service
Publication year
2024
Terms of data access
The Data Collection is available to any user without the requirement for registration for download/access.