Sacramento bike share surveys

This tabular dataset describes the travel behavior and travel mode related attitudes of residents and bike-share users in the greater Sacramento region. The data includes the socio-demographics, travel and mode related attitudes, and mode use pattern of both users and non-users of the bike-share service. The data was collected from both stratified random mail-to-web and intercept flier-to-web recruitment methods during time periods from 2016 to 2019. This includes surveys before bike share existing in the Sacramento region, and during the Jump operated dockless e-bike fleet prior to the start of the COVID-19 pandemic.A description for each variable is provided in an associated metadata file. Missing values are present in many variables when survey participants chose not to answer a question (indicated by NA or blanks).A before-and-after survey was designed to measure the effect of the bike-share service on levels of bicycling, transit use, and vehicle-miles of travel as well as attitudes towards bicycling. Data gathered for this project are from several waves of household and bike-share user surveys. Before the introduction of the bike-share, in the spring of 2016, a household survey was conducted in the Sacramento region. Then after the introduction of bike-share, in the spring of 2019, another household survey was conducted in the Sacramento region. The method of survey sample recruitment was repeat cross-sectional address-based stratified random sampling. After the introduction of bike-share, in the fall of 2018, a bike-share user survey was conducted. In the spring of 2019, another bike-share user survey was conducted. In the bike-share user survey, sample recruitment was done by intercepting the bike-share users with fliers. Additionally, a bike-share user panel survey was conducted (re-recruitment of prior participants). In each of the surveys, respondents were asked about their access to and use of different transportation modes, attitudes towards bicycling and other aspects of transportation, experience with bike-share services in other regions, and socio-demographic characteristics including income and race/ethnicity. All surveys were done through an online web survey system (Qualtrics)