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Interesting! Thanks for sharing! As we are moving towards the development of v3 of the analyzer, we will definitely take these into consideration. |
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Just sharing something interesting for you guys to consider! This research article from 2018 by Lorena Abad used the Bicycle Network Analysis to calculate BNA rating for Lisbon, and map out low and high stress routes in the city.
https://www.researchgate.net/publication/329114189_Quantifying_Bicycle_Network_Connectivity_in_Lisbon_Using_Open_Data
The interesting part is the author modified the BNA to include slopes:
An additional variable concerning the mean slope was added for this analysis, given the challenging conditions of the study area. The slope was calculated for each segment from the Digital Terrain Model raster (49 m resolution), obtained from the Portuguese Open Data Portal.Additionally, the author had also used hexagons instead of square grids to simulate census blocks, since the author says:
A hexagonal shape was selected over a rectangular grid as it reduces the bias of theedge-effect generating a more symmetrical neighborhood and is thus more convenient for connectivityanalyses [33]. Each hexagon in the grid had an x-spacing of 200 m. This value was arbitrarily chosen,but based on the underlying idea that all destinations in a single cell should be within a reasonablewalking distance of each other.Not sure how the author manipulated the BNA to allow slope in, but I thought this might be something you guys could consider adding in the BNA methodology and program later?
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