Estimating Transnational Human Mobility on a Global Scale

Ettore Recchi · Emanuel Deutschmann · Michele Vespe

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Human Mobility and Location-Based Analysis Diverse Aspects of Tourism Research Migration and Labor Dynamics

Abstract

We devise an integrated estimate of country-to-country cross-border human mobility on the basis of global statistics on tourism and air passenger traffic. The joint use of these two sources allows us to (a) test for their relative contribution, and (b) correct for their limitations to the estimate of global mobility by combining them. The two sources are adjusted and merged following simple procedures. The resulting dataset, which covers more than 15 billion estimated trips over the years 2011 to 2016, promises to be a systematic and comprehensive resource on transnational human mobility worldwide. In this paper, we illustrate the data characteristics and transformations adopted in creating this dataset. First applications are explored, and its remaining limits are discussed.

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References

2002Methodological nationalism and beyond: nation–state building, migration and the social sciences 2014Geo-located Twitter as proxy for global mobility patterns 1971Transnational Relations and World Politics: An Introduction 2014Quantifying Global International Migration Flows 2015The Emergence of Global Systemic Risk 2015Experiencing European Integration 2013Studying inter-national mobility through IP geolocation 2017Using Twitter Data to Estimate the Relationship between Short-term Mobility and Long-term Migration

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2020Estimating and projecting air passenger traffic during the COVID-19 coronavirus outbreak and its socio-economic impact 2021The impact of migration background, ethnicity and social network dispersion on air and car travel in the UK 2021Long-Distance Travel 2023Roads, rails, and checkpoints: Assessing the permeability of nation-state borders worldwide 2023The Empirical Study of Human Mobility: Potentials and Pitfalls of Using Traditional and Digital Data

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