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Grünpfeil für Radfahrer: Geeignete Orte finden

Had a similar idea about https://wiki.openstreetmap.org/wiki/Tag:cycleway=asl. To add some context, in France the law required traffic signals (named R11v) to be both on top of a pole, and repeated lower on it. Since 2015 the repetition isn’t required anymore, but nearly every city still has them (Paris seems to have started some removal). One consequence of having them so low on ground is that car drivers use to go up to the pole before stopping and looking at it through the side window. This situation is problematic in numerous ways as drivers’ attention at green light is focused on the light instead of the front of the car, and it’s difficult for cyclists to turn at intersections when coming from a painted bikelane.

Due to the car geometry, removing the repeaters would push back drivers a few meters away from the pole, thus creating an artificial advanced stop line for cyclists. And so, I created a little snippet to query the cycleways leading to traffic signals where ASL could be created with, or without any operators’ agreement (would be a shame if some plastic trash is flown by the wind and stuck to the repeater).

Code snippet for Kiel {{geocodeArea:Kiel}}->.searchArea; ( way(area.searchArea)[~"^cycleway.*$"~"."]; > -> .cyclable; ); node.cyclable["highway"="traffic_signals"]; out geom;

Importing boundaries (admin_level=8) into existing boundaries (admin_level=7)

Any tips about the “disconnecting” part of the process?

Solving safety issues using victim blaming: this is Austrian bike infrastructure

My two cents, I can see two ways these crossings may be improved:

The grass buffer you mentionned is, still IMO, necessary. As it induces larger turn angles: slowing down drivers and offering better visibility between users at the crossing. Taking for reference the CROW, used for road design in Netherlands.

Shade-optimized routing paths for pedestrians

Good job people! Another usecase (that I’m working on) FYI would be winter service, as shaded areas are more prone to icy patches during the day (aggravated by the lack of visibility to drivers).

[WIP] Méthaniseurs

J’‘ai bien vu que c’est un WIP, mais ça m’étonne que la réflexion ne démarre pas de la clé https://wiki.openstreetmap.org/wiki/Tag:generator:method=anaerobic_digestion.

The OSM Iceberg

AFAIK there’re not 3 but 4. I wrote up some notes about them in french.

Metrominuto

Idem, y a la carte parisienne de Joachimesque.

Metrominuto

C’est pas aussi chiadé, mais t’avais connaissance du code de TafLeVélo ?

Do people map single tennis courts?

Lacked instructions for reproducibility but interesting nonetheless! I made my own version with a somehow streamlined R code.

tl;dr: Similar results in the french Doubs’ county. Approximately 130 single courts (~ 160 m² as per standard dimensions), 260 ”double courts” (~ 2,5 the standard court dimensions) for a total of 674 items.

JOSM : Conflation

Je ne sais pas si c’est une limite de Conflation (je n’ai pas creusé) mais le rapprochement ne se fait pas si le parking existant dans OSM est une ligne ou une surface. J’ai rencontré ce cas de temps à autre.

C’est étrange, sur Strasbourg j’ai eu aucun soucis avec du linéaire ou du surfacique. Je pense que l’erreur doit pas venir de Conflation.

JOSM : Conflation

De rien ! Au final c’est pas tant un tutoriel qu’un mémo pour la prochaine fois où j’aurai à bricoler la chose. Si des ateliers sont organisés je passe volontier faire un tour.

Pour ce qui est d’osmose j’avoue ne pas trop comprendre non plus. Le fichier semble avoir été intégré sur Github mais sur l’outil on voit toujours que Bordeaux, Paris, et Madrid. Faut que j’aille en discuter avec eux voir ce qui s’en dit.

Pour avoir les données Osmoses tu peux effectivement faire un export – c’est proposé dans la barre supérieure – que tu ouvriras dans l’éditeur de ton choix (je recommande OsmAnd pour la navigation, ou Vespucci si t’as besoin d’éditer sur place). Pas – encore – de guide à ma connaissance, mais si je le fais (une fois que la météo se réchauffe) alors j’en ferai également un petit guide.

Cómo mapear zonas de estacionamiento en la calle

(Excuse my english, I’m not fluent enough in spanish for that matter)

That’s a pretty good exlpanation you did there. If interested, I have shared my method to map parking_spaces with JOSM. I’d be interested to know how you do it.

House addresses

Ha, been there, done that. The only complain I’d have with this plugin is the lack of custom fields. I used it to map camping ground with pitch sites and while those are numbered, one can’t use addr but ref (I still made it possible by marking with a stupid tag before using the find tool for a mass edit of the addr key).

House addresses

Hey thanks for the preset. But have you looked into the HouseNumberTaggingTool?

MapComplete for dog owners

Haven’t looked much into the whole MapComplete theming, but you definitely could add dog_toilets.

Extremely detailed mapping of shopping center

@o_andras One way to do it is to use JOSM with the PicLayer plugin.

Should I get rid of foot=yes on roads you shouldn't walk on?

You could delete it in my opinion. You may check tags history as well, I guess it must be some kind of tags forgotten after the mapping of sidewalks

Journey searching for a facade survey app

@SimonPoole: Well, guess it’s time for me to try and get on the Vespucci bandwagon once more

Journey searching for a facade survey app

@orthocircular: GeoMapper doesn’t seem opensource which is important to me. Is OpenMapKit still maintained? Moreover its documentation looks kinda complex for my use.

Journey searching for a facade survey app

@GOwin: You’re right I should have emphasised the fork aspect of Organic Maps, I’ll correct that. Regarding the team behind it the Readme state that it was “developed with love by MapsWithMe (MapsMe) founders and our community”

GeoNotes looks really interesting, I’ll go check it !

@SimonPoole: Absolutely. I’m on a 2013 Sony XperiaM C1904 running LineageOS 14.1 (Android 7.1.2) last updated on 2018.

@jambamkin: Until now I never distinguished OSMGo! from Go Map!! and didn’t look at it. You’re right, it is interesting but lacks an Export feature that would allow me to further process surveyal data before uploading.