%0 Generic
%A Citra Andinasari, Citra
%A Monahan, Jessica
%A Tsalapati, Victoria
%A Gan, Haohua
%A Gao, Yan
%D 2024
%T Data underlying the publication: Shady Amsterdam: Identifying the shady places and routes of Amsterdam
%U 
%R 10.4121/8b65d25b-c68f-4e88-b239-27ea90eaf149.v1
%K Shade
%K Cool spaces
%K Shadow routing
%K cool space quality
%K urban heat resilience
%X <p>It contains dataset from the Shady Amsterdam's project: shade maps of Amsterdam were created for each warm month using the Daily Shadow Pattern tool of the Urban Multiscale Environmental Predictor (UMEP). Second, cool spaces were identified and evaluated based on accessibility, shading, usability, capacity, heat risk, and Physiological Equivalent Temperature (PET) indicators. Lastly, after obtaining and processing the pedestrian network from the Open Street Map database, shade weight was calculated for each street segment, and cool spaces were incorporated into the network, allowing users to generate datasets of the shortest and shadiest distances to cool spaces, and an algorithm that performs four different routing options: the shortest, the shadiest, and two combinations of the shortest and shadiest paths with different weighting ratios either between two locations or from a starting point to its nearest cool space.&nbsp;</p>
%I 4TU.ResearchData