Based on an in-depth survey of the literature, the purpose of the paper is to explore computationally networked urbanism and data-driven planning technologies in smart and environmentally sustainable cities. Using and replicating data from Bentley, CompTIA, Deloitte, ICMA, KPMG, PTI, RICS, SCC, and The University of Adelaide, we performed analyses and made estimates regarding the implementation of smart city technologies. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
Employing recent research results covering interconnected sensor networks and machine learning-based analytics in data-driven smart sustainable cities, and building my argument by drawing on data collected from BDO, Capgemini, ICMA, KPMG, McKinsey, Philips, SCC, SmartCitiesWorld, and World Economic Forum, I performed analyses and made estimates regarding the progress of smart cities toward sustainability. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
Empirical evidence on sensor-based big data applications and environmentally sustainable urban development in Internet of Things-enabled smart cities has been scarcely documented in the literature. Using and replicating data from Capgemini, CBRE Research, Deloitte, EIU, ESI Thought Lab, and RICS, we performed analyses and made estimates regarding Internet of Things connected sensors in smart city governance. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
Renewable hydrogen is enjoying increasing political and business momentum. But taking full advantage of it will require scaling technologies, reducing costs, deploying enabling infrastructure, and defining appropriate policies and market structures. Since renewable hydrogen could be an important piece in the carbon-free energy puzzle, it is relevant to explore its geopolitical implications as it enables policy makers to navigate a new energy world. Key variables to consider are technology, infrastructure, environment, finance, global markets, and geopolitics. Focusing on renewable hydrogen, this paper provides a methodology to frame these variables, address the challenges they cause, and the potential opportunities. If adopted at scale, we believe the dynamics of future hydrogen markets would be similar to today’s natural gas markets – with the potential for similar geopolitical dynamics. Our analysis shows that countries are likely to assume specific roles in future renewable hydrogen systems based on their resource endowment and infrastructure potential. As a result, future geopolitical realities of resource-poor countries in Europe and South-East Asia might look very similar to the present realities, as energy import dependency might continue. We may also witness an emergence of new export champions, such as Australia and North Africa.
This paper analyzes the outcomes of an exploratory review of the current research on data-driven smart sustainable cities The data used for this study was obtained and replicated from previous research conducted by Capgemini, ICMA, KPMG, UNESCAP, UNHSP, SCC, The University of Adelaide, and The World Bank We performed analyses and made estimates regarding Internet of Things sensors and machine learning algorithms Data collected from 5,200 respondents are tested against the research model by using structural equation modeling © 2020, Addleton Academic Publishers All rights reserved
Employing recent research results covering smart sustainable city governance and management, and building our argument by drawing on data collected from CompTIA, Deloitte, DNV GL, ICMA, KPMG, PTI, RICS, and SCC, we performed analyses and made estimates regarding data-driven Internet of Things systems and machine learning-based analytics Structural equation modeling was used to analyze the collected data © 2020, Addleton Academic Publishers All rights reserved
