WholeTraveler Anonymized Data Phase 2

Spurlock, C. Anna

doi:10.15483/1893136

Title: WholeTraveler Anonymized Data Phase 2

Dataset
Other Related Research

Abstract

Phase 2 of the WholeTraveler study consisted of a global positioning system (GPS) data collection. Phase 2 started immediately after the completion of the Phase 1 survey for any respondent who opted into Phase 2. The raw locational data collected have been processed into identified "trips" and some of those trips into identified "trip chains." Data from Phase 1 and Phase 2 are linked by a unique respondent identifier. Anonymized versions of the Phase 1 and Phase 2 data are both available on Livewire.

Authors:

Spurlock, C. Anna

Lawrence Berkeley National Laboratory

Publication Date:: Fri Jan 23 19:00:00 EST 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:: 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; attitudes and preferences; regional household survey; technology adoption; travel behavior; vehicle acquisition decisions

OSTI Identifier:: 1893136

DOI:: https://doi.org/10.15483/1893136

Citation Formats


                    Spurlock, C. Anna. WholeTraveler Anonymized Data Phase 2.  United States: N. p., 2026. 
        Web.  doi:10.15483/1893136.

Copy to clipboard


                    Spurlock, C. Anna. WholeTraveler Anonymized Data Phase 2.  United States.  doi:https://doi.org/10.15483/1893136

Copy to clipboard


                    Spurlock, C. Anna. 2026.  
"WholeTraveler Anonymized Data Phase 2".  United States.  doi:https://doi.org/10.15483/1893136.  https://www.osti.gov/servlets/purl/1893136. Pub date:Fri Jan 23 19:00:00 EST 2026

Copy to clipboard


                    
@article{osti_1893136,

  title        = {WholeTraveler Anonymized Data Phase 2},

  author       = {Spurlock, C. Anna},

  abstractNote = {Phase 2 of the WholeTraveler study consisted of a global positioning system (GPS) data collection. Phase 2 started immediately after the completion of the Phase 1 survey for any respondent who opted into Phase 2. The raw locational data collected have been processed into identified "trips" and some of those trips into identified "trip chains." Data from Phase 1 and Phase 2 are linked by a unique respondent identifier. Anonymized versions of the Phase 1 and Phase 2 data are both available on Livewire.},

  doi          = {10.15483/1893136},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Jan 23 19:00:00 EST 2026},

  month        = {Fri Jan 23 19:00:00 EST 2026}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.15483/1893136

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

WholeTraveler Anonymized Data Phase 1

Dataset Spurlock, C. Anna

Phase 1 of the WholeTraveler Study data collection consisted of an online-only survey. This survey 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. This included: 1. The "Big Five" inventory personality traits: openness to new experience, conscientiousness, extroversion, agreeableness, and neuroticism; 2. Risk and time preferences; and 3. Green or environmental preferences. Third, the survey collected data on historical behavior patterns including: 1. Adoption of (as wellmore »« less
Anonymized User-Computer Authentication Associations in Time

Dataset Kent, Alex
Geospatial and Information Substitution and Anonymization Tool (GISA)

Dataset Morkner, Paige ; Wingo, Patrick ; Gao, Michael ; ...

The Geospatial and Information Substitution and Anonymization Tool (GISA) incorporates techniques for obfuscating identifiable information from point data or documents, while simultaneously maintaining chosen variables to enable future use and meaningful analysis. This approach promotes collaboration and data sharing while also reducing the risk of exposure to sensitive information. GISA can be used in a number of different ways, including the anonymization of point spatial data, batch replacement/removal of user-specified terms from file names and from within file content, and aid with the selection and redaction of images and terms based on recommendations using natural language processing. Version 1 ofmore »« less
FACE-MDS Phase 2: Meteorological Data and Protocols

Dataset Walker, Anthony P ; Yang, Bai ; Boden, Tom ; ...

Meteorological data, site parameterisation data, and protocols for simulation of the five Free Air CO2 Enrichment (FACE) experiments and one Open Top Chamber (OTC) experiment that were the study sites of the FACE Model Data Synthesis (FACE-MDS) project. This dataset should contain everything necessary to simulate these six CO2 enrichment experiments -- Duke, Kennedy Space Center, NDFF, ORNL, PHACE, and Rhinelander -- following the FACE-MDS simulation protocol. File naming convention can be found in the file 'facemds-file-table-metdata.xml' and information about variable naming convention can be found in the file 'facemds-standard-name-table-metvars.xml'. Where possible we followed the ALMA v3 convention for meteorologicalmore »« less
FACE-MDS Phase 2: Model Output

Dataset Walker, Anthony P ; De Kauwe, Martin G ; Medlyn, Belinda ; ...

Model output from Phase 2 of the Free Air CO2 Enrichment Model Data Synthesis (FACE-MDS) project. Results from 12 models simulating six elevated CO2 experiments using the protocols, met data, and other data supplied in the accompanying dataset: Phase 2 Free Air CO2 Enrichment Model-Data Synthesis: Meteorological Data and Protocols. File naming convention can be found in the file 'facemds-file-table-modeldata.xml' and information about variable naming convention can be found in the file 'facemds-standard-name-table-modvars.xml'. We followed the ALMA v3 convention for meteorological variables and developed a hierarchical naming scheme for ecosystem variables. Additional info can be found in the protocols inmore »« less

Similar Records