@article{84d7cf1a9858498cbaf8e10da41f35a9,
title = "Smart cities, big data, and sustainability union",
abstract = "Media convergence has changed relationships between existing technologies, industries, markets, and audiences. Smart cities are seen as the logical outcome of media convergence. Big Data form the basis and the output of smart technologies. In the last twenty years, there has been much discussion on smart cities, big data, and the need for sustainability in technological endeavors. This article combines these by providing an overview of the three subjects about their points of intersection. Identifying these points of intersection will help smart city researchers to better understand where there is need for further development towards better standards of living and increased sustainability. This review will provide directions for further research and provide a brief historical overview of how far research has come in the three intertwined identified areas towards designing, adapting, and managing smarter communities.",
keywords = "Big data, Smart cities, Sustainable cities, Technology, Urban spaces",
author = "Sonali Kudva and Xinyue Ye",
note = "Funding Information: Acknowledgments: This study has been partially funded by National Science Foundation (1416509, 1637242, 1535031). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Funding Information: The Smart and Connected Health (SCH) Program is a combination of the Smart Cities Initiative and the Big Data Initiative, and is supported by multiple federal agencies, including the National Science Foundation and the National Institutes of Health. The goal of the program is to initiate transformation of the healthcare system from reactive and hospital-centered to preventative, proactive, evidence-based, patient-centric solutions that are more focused on overall well-being, rather than disease and illness [41]. Thus, the focus of this program is to facilitate the development of next-generation healthcare solutions and to encourage new and existing research communities to focus on generating ideas adding value to health services, including but not limited to sensor technology, networking, information and machine learning technology, decision support systems, modeling of behavioral and cognitive processes, as well as system and process modeling [41]. These developments would naturally have to function within the parameters of other social systems and satisfy clinical/medical needs, social interactions, cognitive limitations, barriers to behavioral change, heterogeneity of data, semantic mismatch, and limitations of current cyber-physical systems [41]. Publisher Copyright: {\textcopyright} 2017 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2017",
month = dec,
doi = "10.3390/bdcc1010004",
language = "English (US)",
volume = "1",
pages = "1--13",
journal = "Big Data and Cognitive Computing",
issn = "2504-2289",
publisher = "MDPI AG",
number = "1",
}