Monthly Volume of Airline Passengers in 90 countries 2010-2018
Monthly Volume of Airline Passengers in 90 countries 2010-2018
We systematically collated the number of passengers travelling by air in 2010-2018 for 90 countries or territories, obtained from national statistic offices, ministries of transportation, reports published by airports, and other open data sources. We also ranked the monthly volume of air travellers for understanding the seasonal travel patterns for each year and county. The dataset is available to download in csv format. The methodology can be found in: Lai, S., Sorichetta, A., Steele, J. et al. Global holiday datasets for understanding seasonal human mobility and population dynamics. Sci Data 9, 17 (2022). https://doi.org/10.1038/s41597-022-01120-z
Population distribution, Mobility, National, Seasonality, Disease transmission, GIS
University of Southampton
Lai, Shengjie
2a8da447-65c2-46dd-8a25-4d8140340cd5
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
Lai, Shengjie
2a8da447-65c2-46dd-8a25-4d8140340cd5
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
Lai, Shengjie, Sorichetta, Alessandro and WorldPop,
(2020)
Monthly Volume of Airline Passengers in 90 countries 2010-2018.
University of Southampton
doi:10.5258/SOTON/WP00694
[Dataset]
Abstract
We systematically collated the number of passengers travelling by air in 2010-2018 for 90 countries or territories, obtained from national statistic offices, ministries of transportation, reports published by airports, and other open data sources. We also ranked the monthly volume of air travellers for understanding the seasonal travel patterns for each year and county. The dataset is available to download in csv format. The methodology can be found in: Lai, S., Sorichetta, A., Steele, J. et al. Global holiday datasets for understanding seasonal human mobility and population dynamics. Sci Data 9, 17 (2022). https://doi.org/10.1038/s41597-022-01120-z
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Published date: 30 October 2020
Keywords:
Population distribution, Mobility, National, Seasonality, Disease transmission, GIS
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Local EPrints ID: 445195
URI: http://eprints.soton.ac.uk/id/eprint/445195
PURE UUID: 589aa1cc-e63a-4411-93e0-2463d89a8ccc
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Date deposited: 25 Nov 2020 17:30
Last modified: 06 May 2023 01:43
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Creator:
Shengjie Lai
Creator:
WorldPop
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