Big data analytics for achieving smart city resilience Key factors for adoption
Abstract: The impressive growth of smart city initiatives can be widely witnessed worldwide. These cities are launched at the effort to improve quality of citizens’ life and help city planners optimize and operationalize management of urban infrastructures. Smart cities are characterized by technologies and systems that are sources of high-volume and high-variety data sources which can be gathered, stored and analyzed by big data analytics for development and implementation of resilient smart city programs. These programs are solutions to challenges susceptible to smart cities as a result of global pressures such as climate change and social mobility. Nonetheless, how to fully adopt this technology and exploit the value of big data analytics for smart city resilience is still a key challenge facing most stakeholders. Since the adoption of new technologies in smart city implementing organizations turns out to be a complex venture and experience varies from city to city, this thesis aims to unveil the key factors for adoption of big data analytics for achieving smart city resilience. An understanding of the key factors for adoption is a key to a strategy to achieve smart cities resilience using big data analytics.
AT THIS PAGE YOU CAN DOWNLOAD THE WHOLE ESSAY. (follow the link to the next page)