1996 Tampa Bay Regional Travel Survey
Abstract
This study was conducted on behalf of the Florida Department of Transportation. The purpose of the survey was to understand day-to-day travel across the Tampa Bay region. Demographic, socioeconomic, and travel data were gathered from 5,349 households that participated in the study, and a total of 31,465 trips were recorded.
- 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:
- 1924784
- DOI:
- https://doi.org/10.15483/1924784
Citation Formats
Team, TSDC. 1996 Tampa Bay Regional Travel Survey. United States: N. p., 2026.
Web. doi:10.15483/1924784.
Team, TSDC. 1996 Tampa Bay Regional Travel Survey. United States. doi:https://doi.org/10.15483/1924784
Team, TSDC. 2026.
"1996 Tampa Bay Regional Travel Survey". United States. doi:https://doi.org/10.15483/1924784. https://www.osti.gov/servlets/purl/1924784. Pub date:Sat Jan 24 00:00:00 UTC 2026
@article{osti_1924784,
title = {1996 Tampa Bay Regional Travel Survey},
author = {Team, TSDC},
abstractNote = {This study was conducted on behalf of the Florida Department of Transportation. The purpose of the survey was to understand day-to-day travel across the Tampa Bay region. Demographic, socioeconomic, and travel data were gathered from 5,349 households that participated in the study, and a total of 31,465 trips were recorded.},
doi = {10.15483/1924784},
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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