This project\u2019s goal is to use modern \u201cbig data\u201d sources and analytics to improve the design, selection, and implementation of multimodal transportation plans in the I-5 corridor as part of the Puget Sound region\u2019s Vision 2040 plan update. One outcome of the project will be the refinement and use of models and tools to identify effective non-motorized improvements that can significantly increase transit use in the I-5 corridor. The project will take advantage of recent advances in the availability of transit ridership, transit origin\/destination and route choice patterns, and sidewalk data, including regional ORCA fare payment data. WSDOT\u2019s corridor planning, modeling, multimodal planning, and construction traffic mitigation programs will all benefit from the outcome of this project. The results will also allow WSDOT to work more effectively with transit agencies, cities, and counties to plan for and implement transportation solutions in the corridor and will help the region select and prioritize projects that support multi-occupancy vehicle travel, thus enhancing the region\u2019s mobility at the least cost to WSDOT and the state.<\/p>\n
Principal Investigators: Sponsor: WSDOT This project\u2019s goal is to use modern \u201cbig data\u201d sources and analytics to improve the design, selection, and implementation of multimodal transportation plans in the I-5 corridor as part of the Puget Sound region\u2019s Vision 2040 plan update. One outcome of the project will be the refinement and use of models and tools to identify … Continue reading Use of New Data Sources for Improved Multimodal Planning<\/span>
\nMark E. Hallenbeck<\/a>, Washington State Transportation Center, UW
\nAnat Caspi<\/a>, Computer Science and Engineering, UW<\/p>\n
\nWSDOT Technical Monitor: Alan Soicher<\/a>
\nWSDOT Project Manager: Jon Peterson<\/a>
\nScheduled completion: October 2018<\/p>\n","protected":false},"excerpt":{"rendered":"