Modeling and Visualizing Regular Human Mobility Patterns with Uncertainty: An Example Using Twitter Data
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DOI: 10.1080/00045608.2015.1081120
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Cited by:
- Arias-Molinares, Daniela & Romanillos, Gustavo & García-Palomares, Juan Carlos & Gutiérrez, Javier, 2021. "Exploring the spatio-temporal dynamics of moped-style scooter sharing services in urban areas," Journal of Transport Geography, Elsevier, vol. 96(C).
- Jennifer Candipan & Nolan Edward Phillips & Robert J Sampson & Mario Small, 2021. "From residence to movement: The nature of racial segregation in everyday urban mobility," Urban Studies, Urban Studies Journal Limited, vol. 58(15), pages 3095-3117, November.
- Sebastian Rauch, 2022. "Analysing Long Term Spatial Mobility Patterns of Individuals and Large Groups Using 3D‐GIS: A Sport Geographic Approach," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 113(3), pages 257-272, July.
- Bin Tian & Bin Meng & Juan Wang & Guoqing Zhi & Zhenyu Qi & Siyu Chen & Jian Liu, 2022. "Spatio-Temporal Patterns of Fitness Behavior in Beijing Based on Social Media Data," Sustainability, MDPI, vol. 14(7), pages 1-18, March.
- Shahabi, Cyrus & Kim, Seon Ho, 2023. "Evaluating Accessibility of Los Angeles Metropolitan Area Using Data-Driven Time-Dependent Reachability Analysis," Institute of Transportation Studies, Working Paper Series qt7pm429tk, Institute of Transportation Studies, UC Davis.
- María Henar Salas-Olmedo & Carolina Rojas Quezada, 2017. "The use of public spaces in a medium-sized city: from Twitter data to mobility patterns," Journal of Maps, Taylor & Francis Journals, vol. 13(1), pages 40-45, January.
- Shuran Li & Chengwei Wang & Liying Rong & Shiqi Zhou & Zhiqiang Wu, 2024. "Understanding How People Perceive and Interact with Public Space through Social Media Big Data: A Case Study of Xiamen, China," Land, MDPI, vol. 13(9), pages 1-28, September.
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