feat: added stroller field to cafe, ice cream, and restaurant

[cuatim]

Description, Motivation & Context

stroller was only supported for amenity=fast_food. this adds stroller for three more amenities that are frequently visited with babies and toddlers.

Links and data

Relevant OSM Wiki links:

https://wiki.openstreetmap.org/wiki/Key:stroller

Relevant tag usage stats:

66 466 times tagged. 51 753 times stroller=yes

https://taghistory.raifer.tech/#***/stroller/yes

[matkoniecz]

I guess that having it in moreFields makes sense, and there is great - but not ideal - overlap withc wheelchair

[github-actions]

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[cuatim]

Test-Documentation

Preview links & Sidebar Screenshots

• cafe: https://pr-1837--ideditor-presets-preview.netlify.app/id/dist/#locale=en&map=20.00/52.50834/13.37532&disable_features=boundaries&background=MAPNIK&id=n10693118853
• ice cream: https://pr-1837--ideditor-presets-preview.netlify.app/id/dist/#locale=en&map=20.00/52.40243/13.07419&disable_features=boundaries&background=MAPNIK&id=n6537276358
• restaurant: https://pr-1837--ideditor-presets-preview.netlify.app/id/dist/#locale=en&map=20.00/52.40256/13.05401&disable_features=boundaries&background=MAPNIK&id=n312311730

Wording

• American English

[cuatim]

PS: Oh, this needs OSM Wiki Data items as well. I will add those and update the screenshot examples.

done:

[tordans]

Are there any apps that promote this tag? Or is this currently just organic, manual growth?

Current usage is not great – some numbers for some of the morFields keys per Preset:

% curl -g https://postpass.geofabrik.de/api/0.2/interpreter \
  --data-urlencode "options[geojson]=false" \
  --data-urlencode "data=
SELECT
  kv.key,
  COUNT(*) AS usage_count
FROM postpass_pointlinepolygon,
LATERAL jsonb_each_text(tags) AS kv(key, value)
WHERE tags->>'amenity' = 'cafe'
  AND kv.key IN (
    'air_conditioning','bar','branch_brand','brand','capacity',
    'changing_table','delivery','diet_multi','drive_through',
    'highchair','min_age','organic','reservation','smoking',
    'stroller','takeaway','toilets'
  )
GROUP BY kv.key
HAVING COUNT(*) > 10
ORDER BY usage_count DESC"

{
    "result": [
        {
            "key": "takeaway",
            "usage_count": 75255
        },
        {
            "key": "brand",
            "usage_count": 64100
        },
        {
            "key": "smoking",
            "usage_count": 28194
        },
        {
            "key": "air_conditioning",
            "usage_count": 11398
        },
        {
            "key": "toilets",
            "usage_count": 9624
        },
        {
            "key": "drive_through",
            "usage_count": 9446
        },
        {
            "key": "delivery",
            "usage_count": 6293
        },
        {
            "key": "bar",
            "usage_count": 3921
        },
        {
            "key": "changing_table",
            "usage_count": 3219
        },
        {
            "key": "reservation",
            "usage_count": 1751
        },
        {
            "key": "capacity",
            "usage_count": 1419
        },
        {
            "key": "highchair",
            "usage_count": 1418
        },
        {
            "key": "organic",
            "usage_count": 683
        },
        {
            "key": "stroller",
            "usage_count": 390 <--- quite low
        },
        {
            "key": "min_age",
            "usage_count": 183
        }
    ],
    "metadata": {
        "generator": "Postpass API 0.2",
        "timestamp": "2025-12-06T07:12:15Z"
    }
}%

% curl -g https://postpass.geofabrik.de/api/0.2/interpreter \
  --data-urlencode "options[geojson]=false" \
  --data-urlencode "data=
SELECT
  kv.key,
  COUNT(*) AS usage_count
FROM postpass_pointlinepolygon,
LATERAL jsonb_each_text(tags) AS kv(key, value)
WHERE tags->>'amenity' = 'ice_cream'
  AND kv.key IN (
    'delivery','diet_multi','drive_through',
    'organic','stroller','takeaway','toilets'
  )
GROUP BY kv.key
HAVING COUNT(*) > 10
ORDER BY usage_count DESC"

{
    "result": [
        {
            "key": "takeaway",
            "usage_count": 6404
        },
        {
            "key": "delivery",
            "usage_count": 1774
        },
        {
            "key": "drive_through",
            "usage_count": 1067
        },
        {
            "key": "toilets",
            "usage_count": 526
        },
        {
            "key": "organic",
            "usage_count": 97
        }
    ], <-- no usage at all
    "metadata": {
        "generator": "Postpass API 0.2",
        "timestamp": "2025-12-06T07:13:14Z"
    }
}%

% curl -g https://postpass.geofabrik.de/api/0.2/interpreter \
  --data-urlencode "options[geojson]=false" \
  --data-urlencode "data=
SELECT
  kv.key,
  COUNT(*) AS usage_count
FROM postpass_pointlinepolygon,
LATERAL jsonb_each_text(tags) AS kv(key, value)
WHERE tags->>'amenity' = 'restaurant'
  AND kv.key IN (
    'air_conditioning','bar','branch_brand','brand','brewery',
    'capacity','changing_table','delivery','highchair','microbrewery',
    'min_age','organic','outdoor_seating','reservation','smoking',
    'stroller','stars','takeaway','toilets'
  )
GROUP BY kv.key
HAVING COUNT(*) > 10
ORDER BY usage_count DESC"

{
    "result": [
        {
            "key": "outdoor_seating",
            "usage_count": 157986
        },
        {
            "key": "takeaway",
            "usage_count": 85837
        },
        {
            "key": "brand",
            "usage_count": 64932
        },
        {
            "key": "smoking",
            "usage_count": 58032
        },
        {
            "key": "delivery",
            "usage_count": 43658
        },
        {
            "key": "air_conditioning",
            "usage_count": 23760
        },
        {
            "key": "reservation",
            "usage_count": 20474
        },
        {
            "key": "toilets",
            "usage_count": 19429
        },
        {
            "key": "capacity",
            "usage_count": 17825
        },
        {
            "key": "bar",
            "usage_count": 15249
        },
        {
            "key": "brewery",
            "usage_count": 6443
        },
        {
            "key": "changing_table",
            "usage_count": 5471
        },
        {
            "key": "microbrewery",
            "usage_count": 5105
        },
        {
            "key": "stars",
            "usage_count": 3857
        },
        {
            "key": "highchair",
            "usage_count": 3515
        },
        {
            "key": "organic",
            "usage_count": 1551
        },
        {
            "key": "min_age",
            "usage_count": 226
        },
        {
            "key": "stroller",
            "usage_count": 160 <-- really low
        }
    ],
    "metadata": {
        "generator": "Postpass API 0.2",
        "timestamp": "2025-12-06T07:13:14Z"
    }
}%

[cuatim]

Are there any apps that promote this tag? Or is this currently just organic, manual growth?

very limited. Essentially only Baby friendliness JOSM user presets.

Its not the best tag. More specific tags like kerb height or door width would be better. But those are harder to collect and I feel adoption might be even lower...

fast_food for comparison:

% curl -g https://postpass.geofabrik.de/api/0.2/interpreter \
  --data-urlencode "options[geojson]=false" \
  --data-urlencode "data=
SELECT
  kv.key,
  COUNT(*) AS usage_count
FROM postpass_pointlinepolygon,
LATERAL jsonb_each_text(tags) AS kv(key, value)
WHERE tags->>'amenity' = 'fast_food'
  AND kv.key IN (
    'air_conditioning','bar','branch_brand','brand','capacity',
    'changing_table','delivery','diet_multi','drive_through',
    'highchair','min_age','organic','reservation','smoking',
    'stroller','takeaway','toilets'
  )
GROUP BY kv.key
HAVING COUNT(*) > 10
ORDER BY usage_count DESC"

{
    "result": [
        {
            "key": "takeaway",
            "usage_count": 286175
        },
        {
            "key": "brand",
            "usage_count": 242248
        },
        {
            "key": "drive_through",
            "usage_count": 105243
        },
        {
            "key": "delivery",
            "usage_count": 43718
        },
        {
            "key": "smoking",
            "usage_count": 24446
        },
        {
            "key": "air_conditioning",
            "usage_count": 13061
        },
        {
            "key": "toilets",
            "usage_count": 6786
        },
        {
            "key": "changing_table",
            "usage_count": 2596
        },
        {
            "key": "capacity",
            "usage_count": 1756
        },
        {
            "key": "highchair",
            "usage_count": 1540
        },
        {
            "key": "reservation",
            "usage_count": 600
        },
        {
            "key": "organic",
            "usage_count": 448
        },
        {
            "key": "bar",
            "usage_count": 225
        },
        {
            "key": "stroller", # <---------
            "usage_count": 84
        }
    ],
    "metadata": {
        "generator": "Postpass API 0.2",
        "timestamp": "2025-12-06T08:02:39Z"
    }
}

[matkoniecz]

seems to make sense and it works, but usage is minimal currently

though it seems that I am open to adding basically anything viable to moreFields to expose existing data, with higher standards to fields

this may not match opinion of others

[tyrasd]

Lgtm, as this is already included for shop and fast_food, it make sense to also have it for the related POI presets. Even though the usage is low, this makes the presets more consistent with each other.