Hello!

Welcome to OpenStreetMap! I noticed that you have been adding a lot of highways and roads in Bangalore, which is nice to see!

There are a couple of cases though where I've been seeing roads being tagged incorrectly, or roads which I know don't exist, based on ground experience, are getting added to the map. Like in this case, the roads which have been marked inside Lalbagh as Residential Roads, are unlikely to be so since the park is primarily meant to be used by pedestrians for walking. Please go through the Wiki for more details on how a particular road can best be tagged: osm.wiki/Highways#Classification

I have also noticed that you're adding the #ola hashtag to every changeset. Is this mapping activity that you're involved with being organized by Ola? If yes, it would be good to go through the Organized Editing Wiki page: osm.wiki/Organised_Editing

Also, general tips and good practices for mapping on OSM that can be helpful are available on these Wiki pages:

osm.wiki/Good_practice

osm.wiki/How_We_Map

In case of any questions or if you are not sure how to proceed with certain types of mapping, please approach the OSM India community https://community.osm.be/resources/asia/india/

Hello!

Welcome to OpenStreetMap! I noticed that you have been adding a lot of highways and roads in Bangalore, which is nice to see!

There are a couple of cases though where I've been seeing roads being tagged incorrectly, or roads which I know don't exist, based on ground experience, are getting added to the map. Like in this case, the roads which have been marked inside Lalbagh as Residential Roads, are unlikely to be so since the park is primarily meant to be used by pedestrians for walking. Please go through the Wiki for more details on how a particular road can best be tagged: osm.wiki/Highways#Classification

I have also noticed that you're adding the #ola hashtag to every changeset. Is this mapping activity that you're involved with being organized by Ola? If yes, it would be good to go through the Organized Editing Wiki page: osm.wiki/Organised_Editing

Also, general tips and good practices for mapping on OSM that can be helpful are available on these Wiki pages:

osm.wiki/Good_practice

osm.wiki/How_We_Map

In case of any questions or if you are not sure how to proceed with certain types of mapping, please approach the OSM India community https://community.osm.be/resources/asia/india/

Hello!

Welcome to OpenStreetMap! I noticed that you have been adding a lot of highways and roads in Bangalore, which is nice to see!

There are a couple of cases though where I've been seeing roads being tagged incorrectly, or roads which I know don't exist, based on ground experience, are getting added to the map. Like in this case, the roads which have been marked inside the park as Residential Roads, are unlikely to be so since the park is primarily meant to be used by pedestrians for walking. Please go through the Wiki for more details on how a particular road can best be tagged: osm.wiki/Highways#Classification

I have also noticed that you're adding the #ola hashtag to every changeset. Is this mapping activity that you're involved with being organized by Ola? If yes, it would be good to go through the Organized Editing Wiki page: osm.wiki/Organised_Editing

Also, general tips and good practices for mapping on OSM that can be helpful are available on these Wiki pages:

osm.wiki/Good_practice

osm.wiki/How_We_Map

In case of any questions or if you are not sure how to proceed with certain types of mapping, please approach the OSM India community https://community.osm.be/resources/asia/india/

Changeset comment should have been Blue Line

Removing railway=station and station=subway seems to have broken the Subway Preprocessor (https://archive.ph/eSrse).

I've created stop_area relations for the stations, I'm guessing that will fix the errors (changeset/118703116).

Thanks for updating the Pune Metro system on OSM! I'm so happy to see more people mapping public transport systems in India.

Hi ivanbranco,

Looks like I made a mistake earlier when I copied the values on to the way from the school node in that area. I have removed the place tag now. Thanks for the info!

Hey. Thanks for the information, I have corrected it now in this changeset:

changeset/112065989

Hello! Nice work mapping the building. Looks like you added a subway_entrance as well (node/8634835218). Is this entrance connected to the railway station or is it an entrance to the Ripon building itself?

subway_entrance is generally used for entrances to railway/public transport stations, so entrance=staircase would be more appropriate if this is an entrance to a tunnel into the Ripon building.

Hello, Welcome to OpenStreetMap!

The approach is right for marking an underground culvert. In case of long tunnels, using tunnel=flooded, may be be more appropriate. See
tunnel=*#Values
for more details.

Hello,
I have added the GNIDA Office station to the relation. Now, the relation has the correct number of stations, which is 21.

Hi,
I have removed that key-value pair. ಲಾಲ್ ಬಾಗ್ is the name:kn value which I probably copy pasted directly on to the nodes, and JOSM had taken it as a key value pair.
I have fixed it now.

Hello,
Thanks for the information and the fixes. I had made some modifications on the Blue Line recently. In that case, I had created a stop_area relation with 3 members: 1 station and 2 stop_positions. Is that an okay way of tagging it? If yes, I could do the same tagging on the Green Line as well.

Is this the actual underground location for the station or the entrance to the station?

sorry, comment should be: added station=subway tag to most delhi metro stations

I had made 6 separate nodes as there are 6 separate bench+shelter locations for this station. If there is any way to preserve the 6 platforms without having rendering problems, that would work.
I have removed the highway=bus_stop tags now, so that may fix it.

may be inaccurate

Nice work adding details to the college!

Thanks for the link!

Nice work adding all the villages and towns.

Could you provide the link of the Github repository from which you got the list.