Muñoz Unceta, Pablo ORCID: https://orcid.org/0000-0003-1670-2691 and Mashhoodi, Bardia ORCID: https://orcid.org/0000-0002-7037-3932 (2022) Mobility, electricity, and parking data for EV infrastructure in the Amsterdam Metropolitan Area. Data in Brief, 42:108270. ISSN 2352-3409 (Online) (doi:10.1016/j.dib.2022.108270)

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Abstract

The dataset combines and aggregate five data types of the Amsterdam Metropolitan Area in a polygon GIS shapefile with 79 three-digit postcode areas, and a csv file, including the outcome of an origin-destination analysis. The dataset area includes 1661 residential zones (“wijken”, in the terminology used by the Dutch Central Bureau for Statistics) of the Amsterdam Metropolitan Area (AMA), and the data aggregated was originally generated between 2017 and 2019. The first dataset, in format of GIS shapefile, contains data on mobility, parking capacity, electricity demand, census data and cadaster data. The second dataset, csv format, includes the outcomes of an origin-destination analysis between the 79 three-digit postcodes areas in AMA. The two datasets provide the basis for analysis and adaptation of electric mobility in AMA.

Item Type:	Article
Uncontrolled Keywords:	mobility, parking capacity, electricity demand, GIS, Amsterdam Metropolitan Area
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General)
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	17 Mar 2025 17:07
URI:	http://gala.gre.ac.uk/id/eprint/50035

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