The most places at risk surrounding the COVID-19 treatment hospitals in an urban environment- case study: Tehran city
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DOI: 10.1016/j.landusepol.2021.105725
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- Mahmoud Rezaei & Farshad Amiraslani & Najmeh Neysani Samani & Kazem Alavipanah, 2020. "Application of two fuzzy models using knowledge-based and linear aggregation approaches to identifying flooding-prone areas in Tehran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 100(1), pages 363-385, January.
- Mohammad Paydar & Asal Kamani Fard & Mohammad Mehdi Khaghani, 2020. "Walking toward Metro Stations: the Contribution of Distance, Attitudes, and Perceived Built Environment," Sustainability, MDPI, vol. 12(24), pages 1-19, December.
- Magazzino, Cosimo & Mele, Marco & Schneider, Nicolas, 2020. "The relationship between air pollution and COVID-19-related deaths: An application to three French cities," Applied Energy, Elsevier, vol. 279(C).
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Keywords
Influence zone; COVID-19; Multi-layer perceptron (MLP); Financial transactions; land use;All these keywords.
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