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Evaluating Usability of Geo-located Twitter as a Tool for Human Activity and Mobility Patterns: Case Study for New York City
Research article (Transportation Research Board 95th Annual MeetingTransportation Research Board, 2016) · cited 14× · AI/ML
Evaluating Usability of Geo-located Twitter as a Tool for Human Activity and Mobility Patterns: Case Study for New York City
Summary
Evaluating Usability of Geo-located Twitter as a Tool for Human Activity and Mobility Patterns: Case Study for New York City is a scholarly article[1].
Key Facts
Evaluating Usability of Geo-located Twitter as a Tool for Human Activity and Mobility Patterns: Case Study for New York City's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Evaluating Usability of Geo-located Twitter as a Tool for Human Activity and Mobility Patterns: Case Study for New York City. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-usability-of-geo-located-twitter-as-a-tool-for-human-activity-and-mobility-patterns-case-study-for-new-york-c
MLA“Evaluating Usability of Geo-located Twitter as a Tool for Human Activity and Mobility Patterns: Case Study for New York City.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-usability-of-geo-located-twitter-as-a-tool-for-human-activity-and-mobility-patterns-case-study-for-new-york-c.
BibTeX@misc{4ortxyz_evaluating-usability-of-geo-located-twitter-as-a-tool-for-human-activity-and-mobility-patterns-case-study-for-new-york-c_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating Usability of Geo-located Twitter as a Tool for Human Activity and Mobility Patterns: Case Study for New York City}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-usability-of-geo-located-twitter-as-a-tool-for-human-activity-and-mobility-patterns-case-study-for-new-york-c}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating Usability of Geo-located Twitter as a Tool for Human Activity and Mobility Patterns: Case Study for New York City — https://4ort.xyz/entity/evaluating-usability-of-geo-located-twitter-as-a-tool-for-human-activity-and-mobility-patterns-case-study-for-new-york-c (retrieved 2026-05-24)
