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Top questions #2
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My first thoughts on some technical challenges that we need to deal with: 1) Infrastructure Identification
2) Converting PCT Flow results to road segment attributes The PCT LSOA level results (see http://npct0.vs.mythic-beasts.com/m/?r=cambridgeshire then select route network LSOA) are a raster with 10m pixels counting the number of cyclists. The lines are typically 2-3 pixels wide and can have some artifacts with lower values around the edges.
3) Converting the number of cyclists on a road to an infrastructure requirement PCT data counts the number of cyclists (in both directions) commuting along each road. Thus it is a rough measure of the number of commuter cyclists you would see during rush hour on a weekday. This excludes all other reasons for cycling, but is the only data we have. CyIPT is based on the assumption that more cyclists means a need for better infrastructure.
4) How suitable is a road for new cycling infrastructure Not every road that may need cycling infrastructure may be capable of accommodating it
5) How to cost cycling infrastructure
6) How to reroute cyclists on new infrastructure Part of the logic of CyIPT is that new infrastructure does not just benefit current cyclists but will also attract new cyclists, thus we need to model mode shift caused by new infrastructure
7) How to evaluate benefits Assuming we know the cost and the change in number of cyclists
8) General Technical Questions
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Closing as we have moved past general questions |
Just adding it here as it's a point of discussion, mostly of interest to @mem48 but maybe @mvl22 also. How to best visualise the results? 3d is increasingly an option: http://giscience.github.io/GIScene.js/examples/dem_mapTile_overlay.html Not an issue or priority hence dumped here. |
Answering these will help get the project off to a strong start (please edit @mvl22 and @mem48 ):
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