Identifying Patterns of Neighbourhood Change Based on Spatiotemporal Analysis of Airbnb Data in Dublin
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9248508/9248534/09248558.pdf?arnumber=9248558
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. O9Answering new urban questions: Using eXplainable AI-driven analysis to identify determinants of Airbnb price in Dublin;Expert Systems with Applications;2024-09
2. Spatiotemporal Analysis of Urban Heat Islands and Vegetation Cover Using Emerging Hotspot Analysis in a Humid Subtropical Climate;Atmosphere;2024-01-25
3. Spatiotemporal Analysis of Emergency Calls during the COVID-19 Pandemic: Case of the City of Vaughan;Urban Science;2023-06-12
4. Taming Airbnb Locally: Analysing Regulations in Amsterdam, Berlin and London;Tijdschrift voor Economische en Sociale Geografie;2022-09-08
5. Which came first, the gentrification or the Airbnb? Identifying spatial patterns of neighbourhood change using Airbnb data;Habitat International;2022-07
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