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A mapping system developed at the Environmental Crowdsourcing Lab increases the independence of blind people in the urban space A study carried out by Achituv Cohen, examined the possibility of using OpenStreetMap, an open-source mapping infrastructure based on crowdsourcing of geographic data contributed by citizens all over the world, for calculating walking routes adapted to the needs of blind pedestrians. The study included in-depth investigation, observations, and interviews with orientation and mobility instructors, as well as with blind people. These led to defining environmental criterion that enable qualitative and quantitative examination of the various available road segments between the starting and destination points, determining the level of accessibility and safety for the blind pedestrian, recommending the most optimized route. The findings indicate that this is an effective and useful tool that could utilize OpenStreetMap for the benefit of blind people, improving their lives in terms of mobility, accessibility, and independence.