The OpenSidewalks Project is an open data, open source effort developed with a three-goal mission: (1) to automate data aggregation and updates of data sets related to the built environment, (2) to use those data to provide map overlays and automated pedestrian routing that will help pedestrians find the best routes suitable to their movement abilities, and (3) to develop analytic tools that will use the data for regional accessibility assessment and planning. This project will expand the OpenSidewalks and AccessMap.io tool sets to develop an automated means for identifying and predicting the connectivity of pedestrian path segments and will use crowdsourcing to verify the model. The project will also further develop technology, methods, and tools for community engagement and training to support the widespread crowdsourcing of sidewalk data that can be integrated into OpenStreetmap. The resulting data will support and enhance the safety and planning activities of pedestrian network users, including their first- and last-mile connections to transit.<\/p>\n
Principal Investigator: Anat Caspi<\/a>, Computer Science and Engineering, UW The OpenSidewalks Project is an open data, open source effort developed with a three-goal mission: (1) to automate data aggregation and updates of data sets related to the built environment, (2) to use those data to provide map overlays and automated pedestrian routing that will help pedestrians find the best routes suitable to their movement … Continue reading Open Sidewalks: Standardizing and Maintaining Sidewalk Connectivity Data for Accessible Trip Planning<\/span>
\nSponsor: WSDOT
\nWSDOT Technical Monitor: Evan Olsen<\/a>
\nWSDOT Project Manager: Jon Peterson<\/a>
\nScheduled Completion: March 2020<\/p>\n","protected":false},"excerpt":{"rendered":"