Document - MOBILITY ATLAS BOOKLET: AN URBAN DASHBOARD DESIGN and IMPLEMENTATION

2018

Conference article Open Access

MOBILITY ATLAS BOOKLET: AN URBAN DASHBOARD DESIGN and IMPLEMENTATION

Gabrielli L., Rossi M., Giannotti F., Fadda D., Rinzivillo S.

data mining urban dashboard Big data

The new data sources give the possibility to answer analytically the questions that arise from mobility manager. The process of transforming raw data into knowledge is very complex, and it is necessary to provide metaphors of visualizations that are understandable to decision makers. Here, we propose an analytical platform that extracts information on the mobility of individuals from mobile phone by applying Data Mining methodologies. The main results highlighted here are both technical and methodological. First, communicating information through visual analytics techniques facilitates understanding of information to those who have no specific technical or domain knowledge. Secondly, the API system guarantees the ability to export aggregates according to the granularity required, enabling other actors to produce new services based on the extracted models. For the future, we expect to extend the platform by inserting other layers. For example, a layer for measuring the sustainability index of a territory, such as the ability of public transport to attract private mobility or the index that measures how many private vehicle trips can be converted into electrical mobility.

Source: 3rd International Conference on Smart Data and Smart Cities, SDSC 2018, pp. 51–58, Delft, Netherlands, 04-05/10/2018

Publisher: Copernicus GmbH (Copernicus Publications), Germania, Germania

Citations

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BibTeX entry

@inproceedings{oai:it.cnr:prodotti:424298,
	title = {MOBILITY ATLAS BOOKLET: AN URBAN DASHBOARD DESIGN and IMPLEMENTATION},
	author = {Gabrielli L. and Rossi M. and Giannotti F. and Fadda D. and Rinzivillo S.},
	publisher = {Copernicus GmbH (Copernicus Publications), Germania, Germania},
	doi = {10.5194/isprs-annals-iv-4-w7-51-2018},
	booktitle = {3rd International Conference on Smart Data and Smart Cities, SDSC 2018, pp. 51–58, Delft, Netherlands, 04-05/10/2018},
	year = {2018}
}