SMART Mobility. Mobility Decision Science Capstone Report

Technical Report · Fri Jul 31 04:00:00 EDT 2020

DOI:https://doi.org/10.2172/1656702· OSTI ID:1656702

Spurlock, C. Anna ^[1]; Gopal, Anand ^[1]; Auld, Joshua ^[2]; Leiby, Paul ^[3]; Sheppard, Colin ^[1]; Wenzel, Tom ^[1]; Belal, Saika ^[4]; Duvall, Andrew ^[5]; Enam, Annesa ^[2]; Fujita, Sydny ^[1]; Henao, Alejandro ^[5]; Jin, Ling ^[1]; Koutou, Eleftheria ^[5]; Lazar, Alina ^[6]; Needell, Zachary ^[1]; Rames, Clement ^[5]; Rashidi, Taha ^[7]; Sears, James ^[8]; Sim, Alexander ^[1]; Stinson, Monique ^[2] ; Taylor, Margaret ^[1]; Todd-Blink, Amika ^[1]; Verbas, Omer ^[2]; Walker, Victor ^[9]; Ward, Jacob ^[10]; Wong-Parodi, Gabrielle ^[11]; Wu, Kesheng ^[1]; Yang, Hung-Chia ^[1]

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1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
2. Argonne National Lab. (ANL), Argonne, IL (United States)
3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
4. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of Tennessee, Knoxville, TN (United States)
5. National Renewable Energy Lab. (NREL), Golden, CO (United States)
6. Youngstown State Univ., OH (United States)
7. Univ. of New South Wales, Sydney, NSW (Australia)
8. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Berkeley, CA (United States)
9. Idaho National Lab. (INL), Idaho Falls, ID (United States)
10. Carnegie Mellon Univ., Pittsburgh, PA (United States)
11. Carnegie Mellon Univ., Pittsburgh, PA (United States); Stanford Univ., CA (United States)

The U.S. Department of Energy’s Systems and Modeling for Accelerated Research in Transportation (SMART) Mobility Consortium is a multiyear, multi-laboratory collaborative, managed by the Energy Efficient Mobility Systems Program of the Office of Energy Efficiency and Renewable Energy, Vehicle Technologies Office, dedicated to further understanding the energy implications and opportunities of advanced mobility technologies and services. The first three-year research phase of SMART Mobility occurred from 2017 through 2019, and included five research pillars: Connected and Automated Vehicles, Mobility Decision Science, Multi-Modal Freight, Urban Science, and Advanced Fueling Infrastructure. A sixth research thrust integrated aspects of all five pillars to develop a SMART Mobility Modeling Workflow to evaluate new transportation technologies and services at scale. This report summarizes the work of the Mobility Decision Science Pillar. The Mobility Decision Science Pillar sought to fill gaps in existing knowledge about the human role in the mobility system including travel decision-making and technology adoption in the context of future mobility. The objective was to study how underlying preferences, needs, and contextual factors might constrain or hasten future transportation system scenarios. For information about the other Pillars and about the SMART Mobility Modeling Workflow, please refer to the relevant pillar’s Capstone Report.

• Research Organization: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Argonne National Laboratory (ANL), Argonne, IL (United States); Idaho National Laboratory (INL), Idaho Falls, ID (United States); National Renewable Energy Laboratory (NREL), Golden, CO (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
• DOE Contract Number: AC02-05CH11231; AC02-06CH11357; AC07-05ID14517; AC36-08GO28308; AC05-00OR22725
• OSTI ID: 1656702
• Report Number(s): DOE/EE--2063; 8262
• Country of Publication: United States
• Language: English

Related Subjects

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
33 ADVANCED PROPULSION SYSTEMS
Energy Efficient Mobility Systems
Mobility Decision Science Capstone Report
Systems and Modeling for Accelerated Research in Transportation (SMART) Mobility Consortium
Vehicle Technologies Office