Density Layers of selected Points of Interest from Open Street Map

This dataset contains a raster layer of 100*100m resolution showing the density of selected amenities from Open Street Map. The amenities are selected as points of interest, where electric vehicles owners are likely to stop for a moment and recharge their vehicles. This dataset covers Europe and was obtained with the Overpass API. This dataset can be used to identify possible charging location for electric vehicles or any other purpose requiring to quantify the number of amenities in an area.

This dataset shows densities of a selection of Points of Interest in Europe from Open Street Map [1].

Included countries are:

country_codes = ['AT', 'BE', 'BG', 'HR', 'CY', 'CZ', 'DK', 'EE', 'FI', 'FR', 'DE', 'GR', 'HU', 'IE', 'IT','LV', 'LT', 'LU', 'MT', 'NL', 'PL', 'PT', 'RO', 'SK', 'SI', 'ES', 'SE', 'AL', 'AD', 'AM', 'BY', 'BA', 'FO', 'GE', 'GI', 'IS', 'IM', 'XK', 'LI', 'MK', 'MD', 'MC', 'ME', 'NO', 'SM', 'RS', 'CH', 'TR', 'UA', 'GB', 'VA']

The requests of Points of Interest have been performed with the Overpass API [2] (free of charge).

The codes included in each density are listed below :

'highway' = ['"highway"="motorway"', '"highway"="rest_area"'];

'parkings' = ['"parking"="surface"', '"parking"="multi-storey"', '"parking"="street_side"', '"parking"="underground"' , '"park_ride"' ];

'school' = ['"amenity"="college"', '"building"="college"', '"building"="university"', '"amenity"="university"', '"amenity"="school"' , '"amenity"="school"', '"amenity"="kindergarten"', '"amenity"="library"'];

'health'= ['"amenity"="clinic"', '"amenity"="dentist"', '"amenity"="school"' , '"amenity"="doctors"', '"amenity"="hospital"', '"amenity"="pharmacy"','"amenity"="veterinary"'];

'cafe'= ['"amenity"="cafe"','"amenity"="ice_cream"', '"amenity"="internet_cafe"'];

'supermarket' = ['"shop"="supermarket"', '"shop"="mall"', '"shop"= "department_store"', '"shop"= "convenience"'];

'restaurant'= ['"amenity"="restaurant"'];

'fastfood' = ['"amenity"="fast_food"'];

'sport'= ['"sport"'];

'hotel' = ['"tourism"="hotel"', '"building"="hotel"', '"tourism"="guest_house"','"tourism"="apartment"','"tourism"="hostel"','"tourism"="motel"','"tourism"="camp_site"'];

'pubs' = ['"amenity"="bar"','"amenity"="pub"', '"amenity"="biergarten"'];

'theatre'= ['"amenity"="theatre"', '"amenity"="cinema"', '"amenity"="music_venue"', '"leisure"="stadium"' ];

'night' = ['"amenity"="nightclub"', '"amenity"="casino"','"amenity"="gambling"','"amenity"="stripclub"'];

'socio'= ['"amenity"="arts_centre"', '"amenity"="community_centre"', '"amenity"="social_centre"', '"amenity"="music_school"', '"amenity"="language_school"'];

'shop' = ['"shop"'];

'tourism' = ['"amenity"="exhibition_centre"', '"tourism"="attraction"','"tourism"="viewpoint"','"tourism"="aquarium "','"leisure"="beach_resort "','"tourism"="gallery"','"tourism"="museum"','"tourism"="theme_park"','"tourism"="zoo"','"tourism"="artwork"'];

The pixel values are the sum of the number of POIs of each type located in the pixel.

Limitations of the dataset

- The dataset provides densities of only a selection of points of interests, regardless of its type. The complete list of amenity codes can be found on the OSM Wiki [3].

- Ways are only considered through their centre points.

[1] “Open Street Map.” https://www.openstreetmap.org/ (accessed Sep. 05, 2023).

[2] “Overpass API.” https://wiki.openstreetmap.org/wiki/Overpass_API  (accessed Sep. 05, 2023).

[3] “Open Street Map Wiki.” https://wiki.openstreetmap.org/wiki/Key:amenity#Sustenance (accessed Sep. 05, 2023).