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Export Reference (APA) 
Fátima Trindade Neves, de Castro Neto, Miguel & Aparicio, M. (2020). The impacts of open data initiatives on smart cities: A framework for evaluation and monitoring. Cities. 106 (106), 102860-102860
Export Reference (IEEE) 
F. T. Neves et al.,  "The impacts of open data initiatives on smart cities: A framework for evaluation and monitoring", in Cities, vol. 106, no. 106, pp. 102860-102860, 2020
Export BibTeX 
@article{neves2020_1764931966162,
	author = "Fátima Trindade Neves and de Castro Neto, Miguel and Aparicio, M.",
	title = "The impacts of open data initiatives on smart cities: A framework for evaluation and monitoring",
	journal = "Cities",
	year = "2020",
	volume = "106",
	number = "106",
	doi = "10.1016/j.cities.2020.102860",
	pages = "102860-102860",
	url = "https://www.sciencedirect.com/science/article/abs/pii/S0264275120312087"
}
Export RIS 
TY  - JOUR
TI  - The impacts of open data initiatives on smart cities: A framework for evaluation and monitoring
T2  - Cities
VL  - 106
IS  - 106
AU  - Fátima Trindade Neves
AU  - de Castro Neto, Miguel
AU  - Aparicio, M.
PY  - 2020
SP  - 102860-102860
SN  - 0264-2751
DO  - 10.1016/j.cities.2020.102860
UR  - https://www.sciencedirect.com/science/article/abs/pii/S0264275120312087
AB  - As the world's population is becoming progressively urban-dwelling, sustainable development challenges are increasingly concentrated in cities, placing tremendous pressure on society to build more sustainable, innovative, and equitable urban environments. Consequently, today's cities require integrated policies and new innovative ways to manage and improve the complexity of urban living conditions. The growing volume and variety of data produced in the urban ecosystem are crucial for obtaining the city's insights and building knowledge-based solutions for a smarter and more sustainable urban development. In this paper, we look at the open data impacts on these complex ecosystems and its crucial enabler role for the generation and analysis of contextual and actionable data aimed at understanding, managing, and planning the city. Despite the importance of open data, the literature is scarce in systematic and structured research that evaluates its impacts on the smart city context. This paper explores this gap by proposing a theoretical framework, composed of a model and an experiment grounded on the use of Randomized Controlled Trials (RCT), designed to give a more detailed view concerning the context and characteristics of the impacts of open data initiatives on smart cities' sustainable development. This work will contribute to open data management and smart city development, providing boundaries and theoretical insights for further research and experimentation on how open data can be leveraged to develop better smart cities.
ER  -