Alexander Wandl,
F. (Frank) van der Hoeven,
Version 1 of Dataset published 2015 via TU Delft
Method: The atlas identifies the social features that have been designated in previous research projects as possible causes of heat-related problems. Hierarchical multiple regression analyses were used to establish which of these are statistically significant in the case of Rotterdam: the number of those aged 75 and over per hectare, the average age of the buildings, the sum of sensible heat and ground heat flux. A cluster analysis was used to identify the links between these features. Results: This results in six clusters (or typologies) that are shown here on the map with different colours, together with a table explaining the underlying values. Parent item: Hotterdam: Urban heat in Rotterdam and health effects Heat waves will occur in Rotterdam with greater frequency in the future. Those affected most will be the elderly – a group that is growing in size. In the light of the Paris heat wave of August