Gregory's ServerDid anybody by any chance run a city-wide project to inventorize cycling roads and lanes? Which tools were most useful for that?
(Planning to do that this year, and so not wanting to write everything from scratch)
Ilya Zverev
18 comments
Ilya Zverev
@alexei Thanks, looks interesting, but alas it doesn't analyze the network in full, just a density of bike-related things in a few spots. 
Thibault Molleman๐ง๐ช ๐๐
@zverik as in: for mapping them? @MapComplete has some basic things Streetcomplete also has some nice cycleway overlay stuff going on, but again, it's not as free as iD and josm
Ilya Zverev
@thibaultmol @MapComplete Thanks Thibault โ I think mapping is a pretty obvious ground, and if I could do that all alone (without help of others and without estonian mappers interferring and nitpicking on tagging), I'd choose OSM. But this I need not for mapping (mapping is never the goal), but for city planning. 
Rihards Olups
@zverik @thibaultmol @MapComplete The ages old frustration of professionals with OSM not bowing to superior knowledge ;) The collaborative feature you mention sound like OSM notes and changeset comments, but more powerful - perhaps JOSM plugins (possibly not existing yetโฆ) could help?
Ilya Zverev
@richlv @thibaultmol @MapComplete It feels like incorrect use of OSM facilities. E.g. notes are about mapping, not "a pole here blocks the cycleway" or "this turn makes it impossible for bikes". And I need a clear classification of cycling roads that's not easily done in OSM, less formal and less physical, more like "here I can cycle at 30+ kph".
Rihards Olups
@zverik @thibaultmol @MapComplete Sounds like utilising the mapped infra in OSM and building on top of it with custom attributes might work - maybe @brunspeteris has some hints? :) https://facilmap.org has some collaborative map functionality, but haven't used it myself, barely found it from some bits and pieces in memory.
Ilya Zverev
@richlv @thibaultmol @MapComplete @brunspeteris Thanks for the facilmap link, looks interesting (and hard to find :) Technically that's what I'm planning, as you say: extract all the footways and cycleways (and lanes) from OSM, split by intersections, upload into a cloud GIS and add classifying/commenting with forms, available through a mobile app.
Ilya Zverev
@InsertUser It's the latter: I intend to gather a group of volunteers to survey cycleways in a city, to later use for advocacy and to publish in online media. So it's a bit early for policies. I'm focusing on a practical side: e.g. many officially present cycleways can't be properly cycled irl.
InsertUser
For small groups and areas a uMap map might work for notes and lines? Not very mobile friendly though, it's more for display than collection. For non-OSM data collection in the field I've only heard of QField and Mergin maps. They both rely on a #QGIS file to set up the forms and data layers and I think they can be configured for users to attach photos. I've never used either seriously though (just a hobbyist), so I'm relying on their own case studies/media relations.
Ilya Zverev
@InsertUser Yeah my current plan is to use NextGIS Web + Collector (similar to QField), since most of the work will be on a mobile.  
Ilya Zverev
@akadouri Looks beautiful! Although it's an OSM visualizer, and I need something more collaborative. OSM tagging model is not good enough for city planning, so I need something else. Which could be imported to OSM one day though. 
Michael Szell
@zverik . @ane did it for a whole country: https://arxiv.org/abs/2312.02632 (an improved version published very soon). Interactive: https://felt.com/map/Bicycle-Suitability-wQNXCYmhTgWELdKRgCZ9AWA?loc=56.9294,14.9957,8.59z
Ilya Zverev
@mszll @ane When I opened the Felt map, I felt like this is it. Alas, as the map hints and the linked work shows, it's a study on data quality and conflation, which is hard to apply to irl use-cases. But I find the classification on the Felt map intriguing. Do you have it in textual form, so I could google-translate it? |
@zverik Not sure if this fits what you're after but I thought it was a good analysis
https://giscienceblog.uni-heidelberg.de/2023/10/17/analyzing-bikeability/