Foundations for Smarter Cities
By C. Harrison, Barbara Eckman, R. Hamilton, P. Hartswick, Jayant R. Kalagnanam, J. Paraszczak, P. Williams. IBM Journal of Research and Development, 2010
1,104 citations recorded by the source corpus.
Subfields: Computer Science Applications, Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/bf3c553524630ea6ffec2136f5f15caf9784e971
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Science Applications
In Computer Vision and Pattern Recognition
- Andrés Camero
- Enrique Alba
- Bo Ai
- Andreas F. Molisch
- Fosca Giannotti
- Ulrike Gretzel
- Attila Kertész
- Chulmo Koo
In Media Technology
- Gabriela Viale Pereira
- Peter Parycek
- José Ramón Gil-García
- Theresa A. Pardo
- Taewoo Nam
- Maurício Gregianin Testa
- Thomas J. Lampoltshammer
- Maria Alexandra Viegas Cortez da Cunha
Citations in the corpus
- Smart city as urban innovation: focusing on management, policy, and context (2011, background): “It supports long-standing practices for improving the operational and managerial efficiency and the quality of life by building on advances in ICTs and infrastructures [53].”
- Constituents and consequences of smart customer experience in retailing (2017, background): “Harrison et al. (2010) associated smartwith instrumented, interconnected, and intelligent objects.”
- Information centric services in Smart Cities (2014, background): “In literature, some interesting definitions can be found, as: • “a city connecting the physical infrastructure, the ICT infrastructure, the social infrastructure, and the business infrastructure to leverage the collective intelligence of the city” [29].”
- 5G Key Technologies for Smart Railways (2020, background): “Although there have been some studies on smart rail communications since IBM proposed the idea of smart rail in 2009 [26], there are still significant gaps.”
- Everything You Wanted to Know About Smart Cities (2016, background): “Big Data has several important characteristics including the following: (1) complexity, (2) volume, (3) variety, (4) variability, (5) veracity.”
- Future Trends and Current State of Smart City Concepts: A Survey (2020, background): “In [13], it is defined as the need for a connection between physical, social, business, and information communication technology (ICT) infrastructure to improve the smartness of the urban area.”
- A literature survey on smart cities (2015, methodology): “Harrison et al. defined a smart city as an instrumented, interconnected and intelligent city [19].”
- Should sustainability and resilience be combined or remain distinct pursuits (2014, background): “Others argue that sustainable cities of the future will be “smart” cities (Harrison et al. 2010, Calabrese et al. 2011).”
- What makes a city smart? Identifying core components and proposing an integrative and comprehensive conceptualization (2015, positive): “Fourth, it seems clear that the combination, interconnection, and integration of systems and infrastructures are threshold characteristics for a city to be called smart [36,47,84,87,177].”
- Smart cities of the future (2012, positive): “The concept of the smart city emerged during the last decade as a fusion of ideas about how information and communications technologies might improve the functioning of cities, enhancing their efficiency, improving their competitiveness, and providing new ways in which problems of poverty, social de”
- Smart tourism: foundations and developments (2015, background): “Harrison et al. (2010) conceptualize smart as exploiting operational, near-real-time real-world data, integrating and sharing data, and using complex analytics, modelling, optimization and visualization to make better operational decisions.”
- Building Understanding of Smart City Initiatives (2012, background): “While an increasing number of studies and practical reports explore desirable properties of a smart city [3], [7-9], [12-13], [16-18], [27] and cases of self-labeled “smart” (or dubbed with other equivalent progressive terms such as intelligent and innovative) cities [2], [4], [19], [25], little res”
- Increasing collaboration and participation in smart city governance: a cross-case analysis of smart city initiatives (2017, background): “In the context of government, Harrison et al. (2012) define collaboration as the sharing of responsibility and authority for decisions on operations, policies or actions of government for more than one set of stakeholders.”