DATASET

Transnational Human Mobility indicators using global air traffic data

Collection: MOB : Mobility Research Data 

Description

Two indicators describe the trend of mobility between countries (for detailed information about the indicators see reference paper below): Trend - Spearman’s rank correlation. The first indicator concerns the trend of passengers between countries. The trend is obtained through the time series decomposition of the data and is released at annual granularity for the period 2011 to 2016. The Spearman’s rank correlation provides information on the monotonicity of the increase or decrease in the trend over time.

Trend intensity - Difference between 2016 and 2011 trend value. The second measure indicates the intensity of the change in mobility between the first and last year under study, based on the annual trend time series. This indicator was normalized with respect to the population of the countries of origin. The other two indicators describe the seasonal pattern of mobility between countries: Lag. For each pair of countries, the cross-correlation of seasonal mobility in both directions was calculated. The lag indicates the asynchronicity of seasonal flows between the country pair. It allows to understand the type of mobility that dominates seasonal mobility between countries, with a lag = 0 suggesting mass tourism and a lag > 0 indicating long-distance individual tourism or seasonal work migration.

Prominence - Peak ratio. The last indicator is the ratio between the number of people moving during the peak month of the seasonal component and the mean overall number of passengers per year. It describes the prominence of the seasonal mobility relative to all mobility between a given country pair.

Contact

Email
Michele.VESPE (at) ec.europa.eu

Contributors

  • Fabrizio Natale

How to cite

Natale, Fabrizio (2018): Transnational Human Mobility indicators using global air traffic data. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/77045119-f891-4c6e-8940-1ebf86d8567c

Keywords

human mobility

Data access

Access via KCMD Dynamic Data Hub
URL 
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Publications

Publication
Dissecting global air traffic data to discern different types and trends of transnational human mobility.
L. Gabrielli, E. Deutschmann, F. Natale, E. Recchi and M. Vespe. Dissecting global air traffic data to discern different types and trends of transnational human mobility. EPJ Data Science 8, Article number: 26(2019) 10.1140/epjds/s13688-019-0204-x
URL 

Geographic areas

World

Temporal coverage

From date To date
2011-01-01 2016-01-01

Additional information

Published by
European Commission, Joint Research Centre
Created date
2020-06-07
Modified date
2020-06-29
Issued date
2018-09-06
Data theme(s)
Population and society
Update frequency
unknown
Identifier
http://data.europa.eu/89h/77045119-f891-4c6e-8940-1ebf86d8567c
Popularity
18 Apr 2024: 1 visits