This book provides an in-depth analysis of key issues in the development of smart city technologies and delivers a conceptual framework for a smart city implementation plan. It is divided into broad topical sections including Vision & Reality, Technology & Architecture, Transportation Considerations and Infrastructure & Environment. It has been edited by Stan McClellan,Jesus A. Jimenez and George Koutitas and it has been published by Springer.
Some of the most well-known smart city projects include important major cities in Europe and the US, such as London, Amsterdam, Barcelona, Los Angeles or San Francisco. However, there are several reasons to conclude that smaller cities can employ smart technologies easier and more successfully.
This white paper, produced by the World Wide Web Foundation, focuses on providing an important step towards enabling collaboration and solving challenges faced through the web, as well as increasing public and key stakeholder understanding of how the individual components of the system work. A considerable body of literature exists on the social and economic impact of Artificial Intelligence (AI).
Sustainable development of smart cities: a systematic review of the literature, written by Evelin Priscila Trindade, Marcus Phoebe Farias Hinnig, Eduardo Moreira da Costa, Jamile Sabatini Marques, Rogério Cid Bastos and Tan Yigitcanlar, is an open access article exploring the relationship between the concepts of sustainable urban development and smart cities. Through a thorough review of the literature, they analyse 25 scientific articles that involve both the terms smart city and environmental sustainability, identifying any kind of models, frameworks or tools that these articles present.
At the fourth International Open Data Conference in Madrid, Spain in October 2016, New York City’s Chief Analytics Officer debuted the Open Data team’s six “Open Data Values.” Each of these values is presented here, along with a specific step the administration has taken to ensure that every new open data initiative reflects the Open Data for All vision: that every New Yorker can benefit from Open Data, and that Open Data can benefit from every New Yorker.
Through the Public Feedback you are invited to provide your views on the draft actions proposed in the Background Papers by the Partnerships. This feedback will be used by the Partnerships for the preparation of the final
Automated networks are essential for smart cities. A key enabler is the use of Artificial Intelligence techniques and to drive network automation. In this panel that was held in OpenStack summit 2017, Machine Learning and Artificial Intelligence experts explore architectures and techniques needed to automate smart city networks.