holgerd
commented
7 years ago the wrong tag has been used ca 4000 times by 700 users so far: https://taginfo.openstreetmap.org/keys/?key=wheelchair_toilet
Open schultyy opened 8 years ago
holgerd
commented
7 years ago the wrong tag has been used ca 4000 times by 700 users so far: https://taginfo.openstreetmap.org/keys/?key=wheelchair_toilet
1000miles
commented
7 years ago @holgerd cc @Svenyo
We, @schultyy and me, put research on this case and here is what we found out:
wheelchair_toilet was from 12 dec 2016, after that date only toilets:wheelchair has being used since then.app/controllers/api/nodes_controller.rb and app/controllers/nodes_controller.rb and found out that they had differed in the past but have already been corrected by following 2 commits:
just needs to be cleaned up.@TODO
wheelchair_toilet tags from wheelmap db - tbd by @1000miles & @schultyy holgerd
commented
7 years ago This is a suggestion from a OSM community member:
Kriterien wären aus meiner Sicht:
- Löschen von {wheelchair_toilet|toilets:wheelchair}=unknown
- Wenn beide vorhanden sind, vergleichen, bei Gleichheit wheelchair_toilet löschen
- bei Ungleichheit die Anzahl ermitteln, ob man sich die einzeln ansehen kann, ggf. den zeitlich neueren Wert übernehmen, meist wird das toilets:wheelchair sein
- wenn nur wheelchair_toilet={yes|no} vorhanden, auf toilets:wheelchair ändern
- verbleibende Werte ausserhalb von {yes|no} manuell prüfen.
https://lists.openstreetmap.org/pipermail/talk-de/2016-July/113245.html
schultyy
commented
7 years ago After some research we found out that apparently there are also 312 POIs with the tag wheelchair:toilets present.
For example: https://www.openstreetmap.org/node/246519847 or https://www.openstreetmap.org/node/261069419
holgerd
commented
7 years ago and how many wheelchair_toilet and/or wheelchair_toilets ?
1000miles
commented
7 years ago @holgerd
In the end we found following interesting results. :) We currently only concentrate on the fix & migration for 1. wheelchair_toilet & 2. toilets:wheelchair.
1. wheelchair_toilet
mysql> SELECT COUNT(*) FROM pois WHERE tags LIKE "%wheelchair_toilet%";
+----------+
| COUNT(*) |
+----------+
| 4802 |
+----------+
1 row in set (14.24 sec)2. toilets:wheelchair
mysql> SELECT COUNT(*) FROM pois WHERE tags LIKE "%toilets:wheelchair%";
+----------+
| COUNT(*) |
+----------+
| 55858 |
+----------+
1 row in set (17.14 sec)3. wheelchair_toilets
mysql> SELECT COUNT(*) FROM pois WHERE tags LIKE "%wheelchair_toilets%";
+----------+
| COUNT(*) |
+----------+
| 317 |
+----------+
1 row in set (14.20 sec)4. wheelchair:toilets
mysql> SELECT COUNT(*) FROM pois WHERE tags LIKE "%wheelchair:toilets%";
+----------+
| COUNT(*) |
+----------+
| 312 |
+----------+
1 row in set (15.73 sec)5. wheelchair:toilet
mysql> SELECT COUNT(*) FROM pois WHERE tags LIKE "%wheelchair:toilet%";
+----------+
| COUNT(*) |
+----------+
| 318 |
+----------+
1 row in set (14.87 sec)Whew.
schultyy
commented
7 years ago @Svenyo Thuy and me prepared a script to clean up wheelchair_toilet in the wheelmap database. This also needs to be done in OpenStreetMap. Should we enhance our script to do this automatically or shall this be done in another way?
/cc @holgerd
Svenyo
commented
7 years ago Hi @schultyy, I'd rather not do an automatic clean up in the OSM (without announcing this first). @holgerd, what do you think, what's the best strategy here?
1000miles
commented
7 years ago @Svenyo cc @holgerd @schultyy
Thanks for your responses. We sent an email to the osm mailinglist [Talk-de] to ask for further process regarding the question about deleting wheelchair_toilet tags from osm. While we wait for their reply we will put this ticket on hold and start working on ticket #558.
Svenyo
commented
7 years ago @1000miles Ok, great! I think that's a good approach!
1000miles
commented
7 years ago @Svenyo & @holgerd
We did another query in the database to provide infos about which regions still have the tag wheelchair_toilet, ordered by descending amount. This is just FYI. :)
+---------------+------------------------+
| regions_count | name |
+---------------+------------------------+
| 389 | Nordrhein Westfalen |
| 387 | Bayern |
| 236 | Zu?rich |
| 212 | Berlin |
| 211 | Schleswig Holstein |
| 209 | Italy |
| 192 | Baden Wu?rttemberg |
| 120 | Hessen |
| 116 | Niedersachsen |
| 105 | Tokyo |
| 103 | Rheinland Pfalz |
| 90 | Sachsen |
| 82 | Brandenburg |
| 80 | Hamburg |
| 75 | Kreis Ludwigsburg |
| 71 | M�nster |
| 67 | Bochum |
| 66 | Klagenfurt |
| 59 | Niedero?sterreich |
| 57 | Dortmund |
| 56 | Hungary |
| 53 | Thu?ringen |
| 51 | Muenchen |
| 50 | Bonn |
| 46 | Greater London |
| 46 | Mo?nchengladbach |
| 45 | Australia |
| 44 | Valencia |
| 40 | Baden Wuerttemberg |
| 39 | Asia |
| 39 | Linz |
| 38 | Aarhus |
| 36 | Bulgaria |
| 34 | New York City |
| 33 | France |
| 31 | Japan |
| 31 | Wu?rzburg |
| 30 | Nuernberg |
| 29 | Duesseldorf |
| 29 | Sachsen Anhalt |
| 29 | Hannover |
| 29 | North America |
| 28 | Bielefeld |
| 26 | Mecklenburg Vorpommern |
| 26 | Karlsruhe |
| 25 | Jena |
| 25 | Koeln |
| 24 | Essen |
| 24 | Moenchengladbach |
| 22 | Norway |
| 22 | Villach |
| 22 | Switzerland |
| 20 | Paris |
| 20 | Stuttgart |
| 20 | Leipzig |
| 20 | Frankfurt |
| 20 | Duisburg |
| 19 | Wiesbaden |
| 18 | Mailand |
| 18 | Bottrop |
| 17 | Thueringen |
| 17 | Heidelberg |
| 17 | Muenster |
| 16 | Africa |
| 15 | Wuppertal |
| 15 | Halle |
| 14 | Kopenhagen |
| 14 | Innsbruck |
| 14 | Fulda |
| 13 | Oberhausen |
| 13 | Germany |
| 13 | Kreis Recklinghausen |
| 13 | Ludwigsburg |
| 13 | Bangalore |
| 13 | Rostock |
| 12 | Mu?lheim an der Ruhr |
| 11 | Bodenseekreis |
| 11 | Magdeburg |
| 11 | Erfurt |
| 11 | Wetzlar |
| 11 | Denmark |
| 11 | Freiburg Breisgau |
| 11 | Spain |
| 10 | Oldenburg |
| 10 | Zuerich |
| 9 | Kreis Konstanz |
| 8 | Pforzheim |
| 8 | Lu?beck |
| 8 | Augsburg |
| 8 | Krefeld |
| 8 | East of London |
| 8 | Wien |
| 8 | Aachen |
| 8 | Gelsenkirchen |
| 8 | Dresden |
| 7 | Poland |
| 7 | West Yorkshire |
| 7 | Wolfsburg |
| 7 | Madrid |
| 7 | Sankt Gallen |
| 6 | Hamm |
| 6 | Mannheim |
| 6 | Tirol |
| 6 | Wuerzburg |
| 5 | Braunschweig |
| 5 | Greece |
| 5 | Obero?sterreich |
| 5 | Europe |
| 4 | amsterdam |
| 4 | Northern Ireland |
| 4 | Wels |
| 4 | Saarbruecken |
| 4 | Bremen |
| 4 | Steiermark |
| 3 | Turkey |
| 3 | Konstanz |
| 3 | Herne |
| 3 | Bologna |
| 3 | Czech Republic |
| 3 | Kreis Boeblingen |
| 3 | Serbia |
| 3 | Niederoesterreich |
| 3 | Graz |
| 3 | Kassel |
| 3 | Oberoesterreich |
| 3 | Kreis Bo?blingen |
| 3 | Rom |
| 2 | Ingolstadt |
| 2 | Curacao |
| 2 | Brazil |
| 2 | Luzern |
| 2 | Cottbus |
| 2 | Ukraine |
| 2 | Luebeck |
| 2 | Finland |
| 2 | Leverkusen |
| 2 | Go?ttingen |
| 2 | Potsdam |
| 2 | Washington |
| 2 | Ka?rnten |
| 2 | Regensburg |
| 2 | Recklinghausen |
| 2 | Bern |
| 1 | Darmstadt |
| 1 | Voralberg |
| 1 | Netherlands |
| 1 | Solingen |
| 1 | Lithuania |
| 1 | Barcelona |
| 1 | Kreis Dueren |
| 1 | Peru |
| 1 | Giessen |
| 1 | Muelheim an der Ruhr |
| 1 | Marseille |
| 1 | Ludwigshafen am Rhein |
| 1 | Croatia |
| 1 | Friedrichshafen |
| 1 | Slovakia |
| 1 | Hagen |
| 1 | Ulm |
| 1 | Cork |
| 1 | Osnabru?ck |
| 1 | Neuss |
| 1 | Remscheid |
| 1 | Schwarzwald Baar Kreis |
| 1 | Saarbru?cken |
| 1 | Heidenheim |
| 1 | Kreis Steinfurt |
| 1 | Kaernten |
| 1 | Basel |
| 1 | West Midlands |
| 1 | Villingen Schwenningen |
| 1 | Luxemburg |
| 1 | Bukarest |
| 1 | Zwickau |
| 1 | Mainz |
+---------------+------------------------+
176 rows in set (15.04 sec)Just for a better overview the current status of this ticket is:
holgerd
commented
7 years ago @schultyy please post it to talk-de
schultyy
commented
7 years ago @holgerd done.
polarbearing
commented
7 years ago Thanks for bringing that to talk-de. There seems to form a recommendation to do a mechanical edit, which should be discussed over a few days.
1000miles
commented
7 years ago Thanks for letting us know in advance, @polarbearing! 👍
This issue is extracted from #334
Quoting @Svenyo: