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Based on Kaart GIS analysis, the Philippine road network data has positional errors (~3-17m) when compared to existing track logs (OpenStreetMap and Strava), and may also include incorrect topology that does not match aerial imagery.
Proposed road realignment strategy
Validation and Error Detection
The contributors will visually check for errors together with using JOSM validation warnings prior to committing the changeset.
The project is limited to OpenStreetMap contributors adept in JOSM, with advanced mapping skills.
I tried to find fault/misaligned imagery with extensive observations in this area, but Bing (though cloudy in some parts) is very well aligned with Strava within this boxed imagery. I cannot find any significant anomaly. Good works on Bing (in this boxed area), unlike Digital Globe which have many distorted/stretched images found.
Boundary: Generally from upper Quezon City/Kalookan (on the North); On the East up to Batasang Pambansa in Quezon City, left of Marikina River up down to Taguig (lower righ corner), but up to NAIA runway only on the South.
This will save a lot of time on workflow (in fact I don't recommend aligning and interpreting partial GPS data, nor individually interpret Strava for localized alignment). I HIGHLY RECOMMEND that we should just simply align all OSM data exclusively on Bing within the said boundary, as well as align all other imagery (Mapbox, Digital Globe, ESRI on Bing) for the latest map feature update in the area.
The effort on this particular project should focus on establishing accurate offsets on IODb for Mapbox, Digital Globe, ESRI referenced to Bing (on its default Zero,Zero offset) for ease of tracing and realigning streets and adding new roads.
Take advantage of AI with Strava's iD Slide, which looks very helpful for major roads, but must be used with caution:
Use the following for the Custom URL Utilsplugin2: