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dc.contributor.authorBridgelall, Raj
dc.contributor.authorTolliver, Denver D.
dc.description.abstractAutomated, connected, electrified, and shared mobility will be cornerstones of the transportation future. Research to quantify the potential benefits and drawbacks of practice, and to identify barriers to adoption is the first step in any strategic plan for their adoption. However, uncertainties, complexity, interdependence, and the multidisciplinary nature of emerging transportation technologies make it difficult to organize and identify focused research. The contribution of this work is a cognitive framework to help planners and policy-makers organize broad topics, reveal challenges, discover ideas for solutions, quantify potential impacts, and identify implications to guide preparation strategies. The authors provide example cognitive frameworks for connected, automated, and electrified vehicles.en_US
dc.rightsIn copyright. Permission to make this version available has been granted by the author and publisher.
dc.titleA Cognitive Framework to Plan for the Future of Transportationen_US
dc.typeArticleen_US
dc.typePreprinten_US
dc.descriptionRaj Bridgelall is the program director for the Upper Great Plains Transportation Institute (UGPTI) Center for Surface Mobility Applications & Real-time Simulation environments (SMARTSeSM).en_US
dc.date.accessioned2021-08-03T17:30:08Z
dc.date.available2021-08-03T17:30:08Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/10365/31974
dc.subjectdecision making, environmental impacts, information management, planning tools, transportation engineering, uncertaintyen_US
dc.subjectEnvironmental impacts.en_US
dc.subjectInformation management.en_US
dc.subjectPlanning tools.en_US
dc.subjectTransportation engineering.en_US
dc.subjectUncertainty.en_US
dc.identifier.orcid0000-0003-3743-6652
dc.identifier.orcid0000-0002-8522-9394
dc.identifier.citationBridgelall, Raj and Denver D. Tolliver, "A Cognitive Framework to Plan for the Future of Transportation," Transportation Planning and Technology, 43(3), DOI:10.1080/03081060.2020.1735728, March 2, 2020.en_US
dc.description.urihttps://www.ugpti.org/about/staff/viewbio.php?id=79
dc.language.isoen_USen_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.contributor.organizationUpper Great Plains Transportation Institute
ndsu.collegeCollege of Business
ndsu.departmentTransportation and Logistics
dc.identifier.doi10.1080/03081060.2020.1735728


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