SMART Mobility: Mobility Decision Science Capstone Report

This report 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. The foundation of this study was the WholeTraveler survey, which captured data on three categories of observable variation in the population relevant to transpiration decisions. First, the survey collected traditional demographic data such as age, gender, income, ethnicity/race, and education level. Second, it collected data across personality, psychological, and preference categories. Third, the survey collected data on historical behavior patterns including: (1) adoption of (as well as interest in) new technologies or innovations; (2) car ownership history and current car ownership status; (3) recent mode use across different time scales; and (4) timing of major life events such as starting a family as well as overall lifecycle trajectory patterns. The survey was administered to a random sample of San Francisco Bay Area residents. Data collection took place between March 2018 and June 2018. Findings discussed in this report relate to the impact of ride-hailing on the transportation system; transportation behaviors and life context; e-commerce use and impact on shopping travel; and psychological and identity factors affecting transportation preferences.

• Record URL:
  https://www.energy.gov/sites/default/files/2020/09/f78/SMART%20-%20MDS%20Capstone%20-%2009.17.2020.pdf
• Corporate Authors:

  Lawrence Berkeley National Laboratory

  ,    

  Argonne National Laboratory

  ,    

  Idaho National Laboratory

  Idaho Falls, ID  United States 

  National Renewable Energy Laboratory

  ,    

  Oak Ridge National Laboratory

  ,    

  Department of Energy

  Office of Energy Efficiency and Renewable Energy
  1000 Independence Avenue, SW
  Washington, DC  United States  20585
• Publication Date: 2020-7

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 76p

Subject/Index Terms

• TRT Terms: Consumer preferences; Decision making; Electronic commerce; Psychological aspects; Ridesourcing; Travel behavior
• Geographic Terms: San Francisco (California)
• Subject Areas: Highways; Pedestrians and Bicyclists; Planning and Forecasting; Public Transportation; Society;

Filing Info

• Accession Number: 01842115
• Record Type: Publication
• Report/Paper Numbers: DOE/EE-2063
• Contract Numbers: DE-AC02-05CH11231; DE-AC02-06CH11357; DE-AC07-05ID
• Files: TRIS
• Created Date: Apr 11 2022 10:45AM