Social media and urban mobility: Using twitter to calculate home-work travel matrices-Reference-Cited by-同舟云学术

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Social media and urban mobility: Using twitter to calculate home-work travel matrices

Published:2019-06 Issue: Volume:89 Page:268-280
ISSN:0264-2751
Container-title:Cities
language:en
Short-container-title:Cities

Author:

Osorio-Arjona Joaquín^ORCID,García-Palomares Juan Carlos

Funder

Ministerio de Educación, Cultura y Deporte

Ministerio de Economía, Industria y Competitividad

European Regional Development Fund

Madrid Regional Government

Publisher

Elsevier BV

Subject

Tourism, Leisure and Hospitality Management,Urban Studies,Sociology and Political Science,Development

Reference43 articles.

1. Using mobile positioning data to model locations meaningful to users of mobile phones;Ahas;Journal of Urban Technology,2010

2. Origin-destination trips by purpose and time of day inferred from mobile phone data;Alexander;Transportation Research Part C: Emerging Technologies,2015

3. Evaluation of a cellular phone-based system for measurements of traffic speeds and travel times: A case study from Israel;Bar-Gera;Transportation Research Part C: Emerging Technologies,2007

4. Geo-located tweets. Enhancing mobility maps and capturing cross-border movement;Blanford;PLoS One,2015

5. Passive mobile phone dataset to construct origin-destination matrix: Potentials and limitations;Bonnel;Transportation Research Procedia,2015

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1. Georeferenced X (formerly twitter) data as a proxy of mobility behaviour: case study of Norway;European Transport Research Review;2024-09-11

2. Unsupervised origin-destination flow estimation for analyzing COVID-19 impact on public transport mobility;Cities;2024-08

3. Detecting information from Twitter on landslide hazards in Italy using deep learning models;Geoenvironmental Disasters;2024-07-30

4. An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques;ACM Computing Surveys;2024-07-26

5. On the relationship between the activity at point of interests and road traffic;Communications in Transportation Research;2023-12

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