BIG DATA MANAGEMENT OF SMART SUSTAINABLE CITIES: NETWORKED DIGITAL TECHNOLOGIES AND AUTOMATED ALGORITHMIC DECISION-MAKING PROCESSES
BIG DATA MANAGEMENT OF SMART SUSTAINABLE CITIES: NETWORKED DIGITAL TECHNOLOGIES AND AUTOMATED ALGORITHMIC DECISION-MAKING PROCESSES

Summary/Abstract: Empirical evidence on big data management of smart sustainable cities has been scarcely documented in the literature. Using and replicating data from Black & Veatch, ESI ThoughtLab, KPMG, McKinsey, Osborne Clarke, Phillips, and SmartCitiesWorld, we performed analyses and made estimates regarding how smart city technologies can make daily commutes faster and less frustrating (%), key actions to accelerate education development in smart cities (%), potential improvement through current generation of smart city applications, from time of implementation (%), the components of a smart city which are most likely to improve citizen well-being (%), actions needed to improve transportation and mobility in smart cities (%), the components of a smart city which are most likely to reduce energy consumption (%), key actions to improve smart cities’ management of energy and resources (%), and the components of a smart city which are most likely to increase economic growth (%). Data were analyzed using structural equation modeling.

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