/MA_DC_travel-patterns

Data tables and charts

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MA_DC_travel-patterns

Data sets and charts created for the MA thesis written by Adrián Eduardo Humanes Vegazo in the MA Digital Cultures at Maastricht University, 2022

Aim of the analysis

The thesis uses distant reading with Voyant Tools to analyse Twitter reactions to three major travel impediments of recent years:

  • travel restrictions due to the COVID-19 pandemic
  • growing societal awareness of climate change and social / political pressure to limit air travel
  • outbreak of the Russian-Ukrainian war

Data sets used for distant reading

Collected tweets in RTF format (raw)
Collected tweets in RTF format (cleaned)

Charts created with Voyant Tools

TO BE ADDED

External data sets used in the thesis:

Our World in Data