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Zaheer Allam
Researcher at Deakin University
Publications - 102
Citations - 2982
Zaheer Allam is an academic researcher from Deakin University. The author has contributed to research in topics: Sustainability & Smart city. The author has an hindex of 18, co-authored 76 publications receiving 1309 citations. Previous affiliations of Zaheer Allam include University of Paris & University of Technology, Sydney.
Papers
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On big data, artificial intelligence and smart cities
Zaheer Allam,Zaynah A. Dhunny +1 more
TL;DR: This paper reviews the urban potential of AI and proposes a new framework binding AI technology and cities while ensuring the integration of key dimensions of Culture, Metabolism and Governance which are known to be primordial in the successful integration of Smart Cities for the compliance to the Sustainable Development Goal 11 and the New Urban Agenda.
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Introducing the “15-Minute City”: Sustainability, Resilience and Place Identity in Future Post-Pandemic Cities
TL;DR: The 15-Minute City as mentioned in this paper is a re-emergence of the concept, initially proposed in 2016 by Carlos Moreno, which adds to existing thematic of Smart Cities and the rhetoric of building more humane urban fabrics, outlined by Christopher Alexander, and that of building safer, more resilient, sustainable and inclusive cities.
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On the Coronavirus (COVID-19) Outbreak and the Smart City Network: Universal Data Sharing Standards Coupled with Artificial Intelligence (AI) to Benefit Urban Health Monitoring and Management
Zaheer Allam,David Jones +1 more
TL;DR: This perspective paper, written one month after detection and during the outbreak, surveys the virus outbreak from an urban standpoint and advances how smart city networks should work towards enhancing standardization protocols for increased data sharing in the event of outbreaks or disasters, leading to better global understanding and management of the same.
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Redefining the Smart City: Culture, Metabolism and Governance
Zaheer Allam,Peter Newman +1 more
TL;DR: A review of the literature on the nature, challenges, and opportunities of smart cities is presented in this paper, where a new Smart Cities framework is proposed based on the dimensions of culture, metabolism, and governance.
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Artificial Intelligence (AI) Provided Early Detection of the Coronavirus (COVID-19) in China and Will Influence Future Urban Health Policy Internationally
TL;DR: How early viral detection will reduce in time as computing technology is enhanced and as more data communication and libraries are ensured between varying data information systems is explored.