Uber Pedestrian Data Improvements around Key Venues

Background

Uber is conducting organized editing in OpenStreetMap to improve pedestrian map quality and support more reliable walking navigation for pickup and dropoff around key venues.

This activity is focused on improving the coverage and quality of pedestrian data in US and Non US Countries around key important locations and venues, with particular attention to sidewalks, crosswalks, and related pedestrian access features. The goal is to improve the completeness and accuracy of pedestrian infrastructure used in walking navigation.

Goal

The goal of this activity is to improve pedestrian map quality and support more reliable walking navigation for pickup and dropoff in the Uber app by improving the completeness and quality of:

• Sidewalks
• Crosswalks
• Related pedestrian access features

Based on Uber's analysis of walking navigation quality in US and Non US Countries, we have identified gaps in sidewalk coverage, crosswalk connectivity, and pedestrian access paths, particularly near high-frequency pickup and dropoff locations listed below. These gaps result in suboptimal or inaccurate walking directions for riders and add additional complexity and frustration to the users when they want to be safely picked up or dropped of at high traffic venues and events. This activity aims to address those specific deficiencies where supported by the latest aerial and street-level imagery.

Timeline

Start date: 2026-08-12  ; End date: 2026-12-12

This page documents the initial list of venues that we plan to improve during this period. Any continuation or expansion of the targeted venues beyond this period will be documented on this page or on follow-on activity pages, as appropriate.

Organizer

UBER

Contact

Please contact the Uber OSM team through the contacts listed on Uber's organised editing Github page, or through changeset comments on edits associated with this activity.

You can also write to us : OSM@uber.com

Hashtag

Edits associated with this activity will use the changeset hashtag "#UberPedestrian''

Location

#	Location Type	Cities	Countries/Regions
1	Educational Facilities (Universities and Colleges)	Los Angeles, Pomona, Cookeville, Coventry	USA, UK
2	Major Railway Stations & Transit hubs	New York City, Chicago, Philadelphia, Boston, Newark, London, Paris, Madrid, Rome, Milan, Amsterdam, Stockholm, Zurich, Frankfurt, Brussels, Lisbon, Melbourne, Hong Kong, Mumbai	USA, UK, France, Spain, Italy, Netherlands, Sweden, Switzerland, Germany, Belgium, Portugal, Australia, Hong Kong, India
3	Airports & Airport Transit	Chicago, New York (JFK), Mumbai	USA, India
4	Cruise Ports & Ferry Terminals	Miami, Port Canaveral, Port Everglades, Barcelona, Rio de Janeiro	USA, Spain, Brazil
5	Stadiums & Sports Arenas	New York City, Chicago, San Francisco Bay Area, Los Angeles, Boston, Washington DC, Dallas, Nashville, Toronto, London, Madrid, Buenos Aires, Mexico City	USA, Canada, UK, Spain, Argentina, Mexico
6	Convention & Exhibition Centers	Houston, Las Vegas, Seattle, Paris, Melbourne, Hong Kong	USA, France, Australia, Hong Kong
7	Entertainment Districts & Event Venues	Las Vegas, Miami, Chicago, New York City, Denver, Orlando, London, Stockholm, Athens	USA, UK, Sweden, Greece
8	Shopping Districts & Retail Centers	New York City, Miami, Las Vegas, Anaheim, London, Paris, Dubai, Hong Kong, Perth	USA, UK, France, UAE, Hong Kong, Australia
9	Tourist Attractions & Landmarks	Orlando, Anaheim, San Francisco, Paris, Rome, London, Stockholm	USA, France, Italy, UK, Sweden
10	Hotels & Hospitality Venues	Chicago, Las Vegas, Miami, Seattle, Paris	USA, France
11	Business &Ccommercial Districts	New York City, Miami, London, Sydney, Riyadh	USA, UK, Australia, Saudi Arabia
12	Urban Public spaces & Parks	Chicago, Miami, San Francisco, Los Angeles, Washington DC, Calgary	USA, Canada
13	Mixed-Use Neighborhoods & City Centers	New York City, Miami, Denver, Nashville, Las Vegas, London	USA, UK
14	Bus Terminus	Rio de Janeiro, São Paulo, Madrid	Brazil, Spain
15	Across Regions	Zagreb	Croatia

Tools and Data Sources

Edits will be performed manually by human editors.

Candidate Identification

Potential areas for review may be identified using Uber's internal datasets, such as GPS probe data and street-level imagery. These datasets are used only to identify candidate locations for review and are not used as the basis for OpenStreetMap edits.

Editing Sources

Editors verify candidate locations using the following imagery sources, depending on availability and recency:

• Bing aerial imagery
• Esri aerial imagery
• Mapbox aerial imagery

Edits are made only where the available imagery provides sufficient confidence and in accordance with OpenStreetMap community guidelines and local mapping practices.

Editing Approach

This activity is focused on reviewing and improving existing pedestrian data and adding missing pedestrian features where supported by imagery.

Examples of intended edits may include:

• Adding missing sidewalks
• Improving sidewalk geometry or connectivity
• Adding or correcting crosswalks
• Improving pedestrian access connectivity related to walking approaches for pickup and dropoff

Editors will follow applicable local mapping conventions and will avoid making edits where source quality is insufficient or where conditions appear too uncertain to map confidently.

Editing Workflow

1. Candidate locations are identified using internal signals and datasets.
2. Editors review the target area using approved aerial imagery (e.g., Bing, Esri, Mapbox, or Vexcel, depending on availability and recency).
3. Before editing, editors review existing OSM data and recent changeset history to avoid overwriting recently verified community contributions.
4. Edits are made only where the available imagery provides sufficient confidence.
5. All changesets will be tagged with the activity hashtag #UberPedestrian.

Quality Assurance

Uber's organised editing is performed by trained human editors and follows internal quality assurance processes.

Edits made as part of this activity will be reviewed for completeness, geometry, tag consistency, and alignment with local mapping practice. Where recent construction, temporary conditions, or unclear imagery make a feature uncertain, the feature may be left unchanged.

Participants

This activity will be carried out by the following Uber editor accounts

Community Engagement

Based on the Community Consultation. Here is the Country wise Updates and Status

S No	Country/Region	Consultation Status	Note:
1	USA	Posted to Community	As per the community suggestion, PWG Bronze schema will be used for mapping sidewalks in US
2	Croatia	Posted to Community
3	Brazil	Awaiting to initiate Community Consultation
4	India	Awaiting to initiate Community Consultation
5	Spain	Awaiting to initiate Community Consultation
6	Canada	Awaiting to initiate Community Consultation
7	France	Awaiting to initiate Community Consultation
8	Australia	Awaiting to initiate Community Consultation
9	Sweden	Awaiting to initiate Community Consultation
10	Italy	Awaiting to initiate Community Consultation
11	Hong Kong	Awaiting to initiate Community Consultation
12	Greece	Awaiting to initiate Community Consultation
13	UAE	Awaiting to initiate Community Consultation
14	Saudi Arabia	Awaiting to initiate Community Consultation
15	Portugal	Awaiting to initiate Community Consultation
16	Belgium	Awaiting to initiate Community Consultation
17	Argentina	Awaiting to initiate Community Consultation
18	Switzerland	Awaiting to initiate Community Consultation
19	Mexico	Awaiting to initiate Community Consultation
20	UK	No edits will be performed
21	Germany	No edits will be performed
22	Netherlands	No edits will be performed

Work Status

S No	Country/Region	Work Status	Start Date	End Date
1	USA	Started	2026-08-20	NA
2	Croatia	Planned	2026-08-14	NA

Changeset Comments

Uber commits to acknowledging and responding to all changeset comments and community questions related to this activity within 3 business days.

Questions about specific edits should be raised through OSM changeset comments where possible.