1991 Boston Household Travel Survey
Abstract
The Central Transportation Planning Staff conducted a household travel survey in 1991, featuring demographic, socioeconomic, and travel features of 2,347 households, generating 39,372 weekday trips. The survey took the form of an activity-based travel diary that each subject household filled out for one weekday. The data was used to estimate new models for trip generation, automobile ownership, trip distribution, and mode choice.
- Authors:
-
- National Renewable Energy Laboratory
- Publication Date:
- 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:
- 1924718
- DOI:
- https://doi.org/10.15483/1924718
Citation Formats
Team, TSDC. 1991 Boston Household Travel Survey. United States: N. p., 2025.
Web. doi:10.15483/1924718.
Team, TSDC. 1991 Boston Household Travel Survey. United States. doi:https://doi.org/10.15483/1924718
Team, TSDC. 2025.
"1991 Boston Household Travel Survey". United States. doi:https://doi.org/10.15483/1924718. https://www.osti.gov/servlets/purl/1924718. Pub date:Thu Dec 11 23:00:00 EST 2025
@article{osti_1924718,
title = {1991 Boston Household Travel Survey},
author = {Team, TSDC},
abstractNote = {The Central Transportation Planning Staff conducted a household travel survey in 1991, featuring demographic, socioeconomic, and travel features of 2,347 households, generating 39,372 weekday trips. The survey took the form of an activity-based travel diary that each subject household filled out for one weekday. The data was used to estimate new models for trip generation, automobile ownership, trip distribution, and mode choice.},
doi = {10.15483/1924718},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Dec 11 23:00:00 EST 2025},
month = {Thu Dec 11 23:00:00 EST 2025}
}
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