A Big Data Analysis and Visualization Pipeline for Green and Sustainable Mobility

Branco, D.; Di Martino, Beniamino; Venticinque, Salvatore
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.
Research areas:
Year:
2021
Type of Publication:
In Book
Volume:
227
Pages:
701-710
Publisher:
Springer Science and Business Media Deutschland GmbH
ISBN:
978-3-030-75077-0
DOI:
10.1007/978-3-030-75078-7_69
Hits: 207
You are here: Home Publications Publications a-big-data-analysis-and-visualization-pipeline-for-green-and-sustainable-mobility