Cargando…
Forecasting commercial real estate indicators under COVID-19 by adopting human activity using social big data
Dependence of the real estate sector on human activity has been unveiled during the COVID-19 pandemic. In addition, it is assumed that trends emitted from the location-based social networks (LBSNs) successfully reflect human activities, hence commercial property trends. This study examined the use o...
Autores principales: | Taşcılar, Maral, Arslanlı, Kerem Yavuz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385092/ http://dx.doi.org/10.1007/s41685-022-00254-7 |
Ejemplares similares
-
Impact of COVID-19 pandemic on exports: new evidence from selected European Union countries and Turkey
por: Cengiz, Orhan, et al.
Publicado: (2022) -
Economic impact of the COVID-19 outbreak in Turkey: analysis of vulnerability and resilience of regions and diversely affected economic sectors
por: Tuysuz, Suat, et al.
Publicado: (2022) -
Global supply and demand of medical goods in the fight against Covid-19: a network analysis
por: Soyyiğit, Semanur, et al.
Publicado: (2022) -
Impacts of the COVID-19 pandemic on private rental housing prices in Turkey
por: Subaşı, Safiye Özge, et al.
Publicado: (2022) -
Place-based factors affecting COVID-19 incidences in Turkey
por: Ronael, Mehmet, et al.
Publicado: (2022)