Forecasting commercial real estate indicators under COVID-19 by adopting human activity using social big data-Reference-Cited by-同舟云学术

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Forecasting commercial real estate indicators under COVID-19 by adopting human activity using social big data

Published:2022-08-17 Issue:3 Volume:6 Page:1111-1132
ISSN:2509-7946
Container-title:Asia-Pacific Journal of Regional Science
language:en
Short-container-title:Asia-Pac J Reg Sci

Author:

Taşcılar Maral^ORCID,Arslanlı Kerem Yavuz

Publisher

Springer Science and Business Media LLC

Subject

Economics, Econometrics and Finance (miscellaneous),Urban Studies,Development,Renewable Energy, Sustainability and the Environment

Link

https://link.springer.com/content/pdf/10.1007/s41685-022-00254-7.pdf

Reference57 articles.

1. Agryzkov T, Martí P, Nolasco-Cirugeda A et al (2016) Analysing successful public spaces in an urban street network using data from the social networks Foursquare and Twitter. Appl Netw Sci 1:1–15. https://doi.org/10.1007/s41109-016-0014-z

2. Akaike H (1974) A new look at the statistical model identification. IEEE Trans Autom Control 19:716–723

3. Anselin L, Le Gallo J (2006) Interpolation of air quality measures in hedonic house price models: spatial aspects. Spat Econ Anal 1:31–52

4. Brooks C, Tsolacos S (2010) Real estate modelling and forecasting. Cambridge University Press

5. Carpio-Pinedo J, Gutiérrez J (2020) Consumption and symbolic capital in the metropolitan space: Integrating ‘old’ retail data sources with social big data. Cities 106:102859. https://doi.org/10.1016/j.cities.2020.102859

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2. Analyzing Market Volatility: Big Data's Insight into Macroeconomic Indicators;2023 International Conference on Data Science & Informatics (ICDSI);2023-08-12

3. Special Feature on social, economic, and spatial impacts of COVID-19 pandemic in Turkey;Asia-Pacific Journal of Regional Science;2022-09-23

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