Securing climatic accessibility to public transport The study included the analysis and cross-referencing of two main datasets: public transportation ticket validation (made publicly available by the Ministry of Transport), and shade maps of streets and statistical zones in the four urban areas analysed in this study. The ticket validation dataset revealed information about daily and seasonal trends in public travel in each city or town, as well as allowing us to calculate the average daytime passenger flow during the hot season for each transportation stop. We used the shade maps to calculate the level of hot season shade in the routes leading to each stop or in the streets within specific zones. Using these two datasets, we calculated a new index, the Shading Priority Index, which quantified the importance of adding street shading as a product of the average shade situation and number of public transportation passengers during the day. In this study, we present two shading prioritisation indices: The first, at the resolution of a single transportation stop, is based on an analysis of the shade situation in all pedestrian routes leading to each stop and the number of passengers boarding public transportation from that stop; The second, at the much lower resolution of a statistical zone, is based on an analysis of the average shade and passenger quantities at all stops in a particular statistical zone. Of the two, the Shade Priority Index at stops is more focused, complex, and geographically detailed, but its calculation requires a more intricate procedure. An analysis of the mapping results of the Shade Priority Index at stops and statistical zones indicated that using the more complex index for calculation (shading prioritisation at stops) yielded more spatially accurate results, II
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