Play 4 – Strategy 4.1
Access relevant data to ensure the public good is served
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Effective management of a complex transportation network is built on a foundation of accurate and reliable data. Emerging Internet of Things sensor and data flow capabilities will unlock new ways to collect and collaboratively use data. As digitally-enabled mobility services transform how Seattleites travel, they generate tremendous amounts of historical and real-time data. However, we are unable to ascertain, analyze, or plan for these shifts in travel behavior in the absence of cooperative data sharing agreements. This information gap is creating drastic consequences for the transportation system. We must balance concerns over private mobility providers’ sensitive business data with the need to make policy and investments informed by the best data available. We will employ a need-based approach to collecting mobility service and sensor data.


First Moves
  • Develop a digital data master plan to take stock of our data, establish data sharing standards, and create data handling and privacy standards for the trusted data platform, Mobility as a Service platforms, and connected infrastructure
Further Actions
  • Expand our data collection tools including optical sensors, Bluetooth sensors, roadside units, and Array of Things functionality
  • Establish an open data protocol for shared mobility services and transportation technology, balancing objectives related to citizen- led innovation and private service provider protections
  • Create a data cube or other multidimensional data matrix to organize and analyze complex new mobility data sets
  • Work with digitally-enabled mobility services to leverage telematics to assess roadway infrastructure quality
  • Formalize a transportation happiness metric to continually track progress towards making our customers happy