WholeTraveler Anonymized Data Phase 1

Spurlock, C. Anna

doi:10.15483/1893135

Title: WholeTraveler Anonymized Data Phase 1

Dataset
Other Related Research

Abstract

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 well as interest in) new technologies or innovations (e.g., smartphones, PEVs, solar panels, adaptive cruise control [ACC]); 2. Car ownership history and current car ownership status; 3. Recent mode use across different time scales (e.g., previous week, previous month, previous year); and 4. Timing of major life events such as starting a family as well as overall lifecycle trajectory patterns. 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:: Wed Apr 17 00:00:00 EDT 2024

DOE Contract Number:: 72724

Research Org.:: Livewire Data Platform; NREL; Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); INL

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

Keywords:: travel behavior; vehicle acquisition decisions; technology adoption; regional household survey; attitudes and preferences

OSTI Identifier:: 1893135

DOI:: https://doi.org/10.15483/1893135

Citation Formats


                    Spurlock, C. Anna. WholeTraveler Anonymized Data Phase 1.  United States: N. p., 2024. 
        Web.  doi:10.15483/1893135.

Copy to clipboard


                    Spurlock, C. Anna. WholeTraveler Anonymized Data Phase 1.  United States.  doi:https://doi.org/10.15483/1893135

Copy to clipboard


                    Spurlock, C. Anna. 2024.  
"WholeTraveler Anonymized Data Phase 1".  United States.  doi:https://doi.org/10.15483/1893135.  https://www.osti.gov/servlets/purl/1893135. Pub date:Wed Apr 17 00:00:00 EDT 2024

Copy to clipboard


                    
@article{osti_1893135,

  title        = {WholeTraveler Anonymized Data Phase 1},

  author       = {Spurlock, C. Anna},

  abstractNote = {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 well as interest in) new technologies or innovations (e.g., smartphones, PEVs, solar panels, adaptive cruise control [ACC]); 2. Car ownership history and current car ownership status; 3. Recent mode use across different time scales (e.g., previous week, previous month, previous year); and 4. Timing of major life events such as starting a family as well as overall lifecycle trajectory patterns. 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          = {10.15483/1893135},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Apr 17 00:00:00 EDT 2024},

  month        = {Wed Apr 17 00:00:00 EDT 2024}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.15483/1893135

Save / Share:

Export Metadata

Save to My Library

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

WholeTraveler Anonymized Data Phase 2

Dataset Spurlock, C. Anna

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.
Anonymized User-Computer Authentication Associations in Time

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

Dataset Hoover, Brendan ; Wingo, Patrick ; Gao, Michael ; ...

The Geospatial and Information and Substitution and Anonymization Tool (GISA) incorporates techniques for obfuscating identifiable information from a dataset, while simultaneously incorporating relevant variables, such as spatial data, to enable more insightful analysis. This approach promotes collaboration and data sharing by reducing the risk of exposure to sensitive information. The data that is acquired and exchanged between partners and DOE researchers sometimes contains sensitive information that cannot be disclosed to the public or other entities. The confidentiality of data often limits its usefulness for collaborative science and public welfare, especially when removing information that enables meaningful analysis. For instance, geolocationmore »« less
Data supporting manuscript from L. Sheneman, G. Stephanopoulos, A.E. Vasdekis titled "Deep learning classification of lipid droplets in quantitative phase images" as currently under review at PLOS ONE. This includes: 1) raw and binary labeled Quantitative Phase Images (QPI) of Y. lipolytica cells used in the analyses described within the manuscript. 2) various derived data including classifier scores, etc.

Dataset Vasdekis, Andreas ; Sheneman, Luke

Data supporting manuscript from L. Sheneman, G. Stephanopoulos, A.E. Vasdekis titled "Deep learning classification of lipid droplets in quantitative phase images" as currently under review at PLOS ONE. This includes: 1) raw and binary labeled Quantitative Phase Images (QPI) of Y. lipolytica cells used in the analyses described within the manuscript. 2) various derived data including classifier scores, etc.
Phase 1 Free Air CO2 Enrichment Model-Data Synthesis (FACE-MDS): Meteorological Data

Dataset Norby, R. ; Oren, R. ; Boden, T. ; ...

These datasets comprise the meteorological, CO2 and N deposition data used to run models for the Duke and Oak Ridge FACE experiments. Phase 1 datasets are reproduced here for posterity and reproducibility although these meteorological datasets are superseded by the Phase 2 datasets. If you would like to use the meteorological datasets to run your own model or for any other purpose please use the Phase 2 datasets.

Similar Records