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When transit agencies develop data-informed cultures of innovation using new technology, they can uncover patterns in ridership, economic activity and land use/development, helping to anticipate demand and optimize service delivery. For instance, AI could recognize trends in real time occurring in or near an agency’s service area and help leaders decide to develop new partnerships, adjust routes, explore new services such as microtransit options, or adjust schedules to expand access to development-driven jobs, schools and community amenities. 

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