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Urban GIS and charging station data

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Citation Author(s):
Milan Straka
Lubos Buzna
Gijs van der Poel
Submitted by:
Milan Straka
Last updated:
DOI:
10.21227/69hf-9c82
Data Format:
.csv
Research Article Link:
Predicting Popularity of Electric Vehicle Charging Infrastructure in Urban Cont…
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Categories:
Keywords:
Electric Vehicles
GIS
POI; Ratings; Geographical coordinates
charging stations
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Abstract

Dataset consists of various open GIS data from the Netherlands as Population Cores, Neighbhourhoods, Land Use, Neighbourhoods, Energy Atlas, OpenStreetMaps, openchargemap and charging stations. The data was transformed for buffers with 350m around each charging stations. The response variable is binary popularity of a charging pool.

Instructions:

Use the first n_RFID variable as a response, the rest as predictors.

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