1993 Baltimore Household Travel Survey

Team, TSDC

doi:10.15483/1924779

Title: 1993 Baltimore Household Travel Survey

Dataset
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Abstract

The 1993 Baltimore Household Travel Survey is a detailed survey of demographic characteristics and travel patterns for 2,692 households in Baltimore, Maryland. The original goal of the survey was to collect an “ideal” dataset for disaggregate travel demand analysis.

Authors:

Team, TSDC

National Renewable Energy Laboratory

Publication Date:: Sat Jan 24 00:00:00 UTC 2026

DOE Contract Number:: AC05-76RL01830

Research Org.:: National Renewable Energy Laboratory; Pacific Northwest National Laboratory; Idaho National Laboratory

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Vehicle Technologies Office (EE-3V)

Subject:: 1Hz data; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; attitudes and preferences; drive cycles; light-duty vehicles; micromobility; public transit; regional household survey; smartphone; transit survey; travel behavior; travel modes; vehicle GPS; wearable GPS

OSTI Identifier:: 1924779

DOI:: https://doi.org/10.15483/1924779

Citation Formats


                    Team, TSDC. 1993 Baltimore Household Travel Survey.  United States: N. p., 2026. 
        Web.  doi:10.15483/1924779.

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                    Team, TSDC. 1993 Baltimore Household Travel Survey.  United States.  doi:https://doi.org/10.15483/1924779

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                    Team, TSDC. 2026.  
"1993 Baltimore Household Travel Survey".  United States.  doi:https://doi.org/10.15483/1924779.  https://www.osti.gov/servlets/purl/1924779. Pub date:Sat Jan 24 00:00:00 UTC 2026

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@article{osti_1924779,

  title        = {1993 Baltimore Household Travel Survey},

  author       = {Team, TSDC},

  abstractNote = {The 1993 Baltimore Household Travel Survey is a detailed survey of demographic characteristics and travel patterns for 2,692 households in Baltimore, Maryland. The original goal of the survey was to collect an “ideal” dataset for disaggregate travel demand analysis.},

  doi          = {10.15483/1924779},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sat Jan 24 00:00:00 UTC 2026},

  month        = {Sat Jan 24 00:00:00 UTC 2026}

}

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DOI: https://doi.org/10.15483/1924779

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