Commuter Mobility Patterns in Social Media: Correlating Twitter and LODES Data

Andreas Petutschnig*, Jochen Albrecht, Bernd Resch, Laxmi Ramasubramanian, Aleisha Wright

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article number15
JournalISPRS International Journal of Geo-Information
Volume11
Issue number1
DOIs
Publication statusPublished - Jan 2022

Bibliographical note

Funding Information:
Funding: This research was funded by the Austrian Science Fund (FWF) through the project “The Scales and Structures of Intra-Urban Spaces” (reference number P 29135-N29). This research was funded by the Austrian Science Fund (FWF) through the project “Geographic Information Science. Integrating interdisciplinary concepts and methods” (reference number W 1237). This research was funded by the Mineta Transportation Institute (MTI) through the project “Deriving Commuting Patterns From Tweets: Investigating the Benefits and Limits of Using Publicly Available Volunteered Geographic Information” (reference number 2037).

Funding Information:
This research was funded by the Austrian Science Fund (FWF) through the project ?The Scales and Structures of Intra-Urban Spaces? (reference number P 29135-N29). This research was funded by the Austrian Science Fund (FWF) through the project ?Geographic Information Science. Integrating interdisciplinary concepts and methods? (reference number W 1237). This research was funded by the Mineta Transportation Institute (MTI) through the project ?Deriving Commuting Patterns From Tweets: Investigating the Benefits and Limits of Using Publicly Available Volunteered Geographic Information? (reference number 2037). We would like to thank Harvard University?s Center for Geographic Analysis for their support in providing us with the Twitter data for our study.

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Collective movement
  • Commuter mobility
  • Twitter mobility
  • Urban planning

Fields of Science and Technology Classification 2012

  • 211 Other Technical Sciences
  • 507 Human Geography, Regional Geography, Regional Planning

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