Abstract
Big data analysis is a relevant activity to evaluate the impact of innovative technologies leveraging the digital transformation of smart cities. This paper illustrates the definition and realization of a Big Data Pipeline for data curation, analysis and visualization of key performance data and indicators (KPIs), for the evaluation of the impact of innovative technologies on Sustainable Mobility. It has been designed and developed to support the evaluation activities of the GreenCharge project, which provides cities with technological solutions and business models for effective implementation and management of charging infrastructures for electric vehicles. It is currently in operation in three GreenCharge pilots to estimate the impact of the operating technological solutions and business models.
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Authors of this paper, on behalf of GreenCharge consortium, acknowledge the European Union and the Horizon 2020 Research and Innovation Framework Programme for funding the project (grant agreement no. 769016).
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Branco, D., Di Martino, B., Venticinque, S. (2021). A Big Data Analysis and Visualization Pipeline for Green and Sustainable Mobility. In: Barolli, L., Woungang, I., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2021. Lecture Notes in Networks and Systems, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-030-75078-7_69
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DOI: https://doi.org/10.1007/978-3-030-75078-7_69
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