10.48349/ASU/TM7DGM Salon, Deborah Deborah Salon https://orcid.org/0000-0002-2240-8408 Arizona State University Bhagat-Conway, Matthew Wigginton Matthew Wigginton Bhagat-Conway https://orcid.org/0000-0002-1210-2982 University of North Carolina, Chapel Hill da Silva Baker, Denise Denise da Silva Baker https://orcid.org/0000-0003-1414-8439 Arizona State University Chauhan, Rishabh Rishabh Chauhan https://orcid.org/0000-0001-7188-557X University of Illinois Chicago Shamshiripour, Ali Ali Shamshiripour University of Illinois Chicago Rahimi, Ehsan Ehsan Rahimi https://orcid.org/0000-0002-8649-7542 University of Illinois Chicago Mirtich, Laura Laura Mirtich https://orcid.org/0000-0002-0467-2934 Arizona State University Khoeini, Sara Sara Khoeini Arizona State University Mohammadian, Kouros Kouros Mohammadian https://orcid.org/0000-0003-3595-3664 University of Illinois Chicago Derrible, Sybil Sybil Derrible https://orcid.org/0000-0002-2939-6016 University of Illinois Chicago Pendyala, Ram Ram Pendyala https://orcid.org/0000-0002-1552-9447 Arizona State University ASU Library Research Data Repository 2022 Engineering Social Sciences COVID-19 Salon, Deborah Deborah Salon Arizona State University 2022-05-13 2022-05-13 2025-08-19 10.1038/S41597-021-01020-8 10.1073/PNAS.2106499118 102441600 167644318 564856 109065 449763 400372 79782 text/tab-separated-values text/tab-separated-values application/pdf text/tab-separated-values application/pdf application/pdf text/tab-separated-values 1.1 Custom terms specific to this dataset This dataset is the product of the first wave of a nationwide longitudinal survey collecting information about travel-related behaviors and attitudes before, during, and after the COVID-19 pandemic. The survey questions cover a wide range of topics including commuting, daily travel, air travel, working from home, online learning, shopping, and risk perception, along with attitudinal, socioeconomic, and demographic information. Version 1.1 of the survey data contains 9,265 responses that are publicly available. The survey is deployed over multiple waves to the same respondents to monitor how behaviors and attitudes evolve over time. In addition, the data are weighted to be representative of national and regional demographics. There are two versions of the Wave 1 survey. Most users will want to focus their analysis on the Wave 1B data. Wave 1A respondents were recruited as a convenience sample. We have, however, created weights for Wave 1B alone and for Wave 1A and Wave 1B together so that they can be analyzed as a larger dataset. For detailed information, please see our data description publication at https://doi.org/10.1038/s41597-021-01020-8.