individual preferences and lifestyles on young adults’ travel behavior in California.
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2017-03-01
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Abstract:Young adults (“millennials”, or members of “Generation Y”) are increasingly reported to have ; different lifestyles and travel behavior from previous generations at the same stage in life. They ; postpone the time at which they obtain a driver’s license, often choose not to own a car, drive ; less if they own one, and use alternative non-motorized means of transportation more often. ; Several explanations have been proposed to explain the behaviors of millennials, including their ; preference for urban locations closer to the vibrant parts of a city, changes in household ; composition, and the substitution of travel for work and socializing with telecommuting and ; social media. However, research in this area has been limited by a lack of comprehensive data ; on the factors affecting millennials’ residential location and travel choices (e.g. information ; about individual attitudes, lifestyles and adoption of shared mobility is not available in the U.S. ; National Household Travel Survey and most regional household travel surveys). ; Improving the understanding of the factors and circumstances behind millennials’ mobility is of ; the utmost importance for scientific research and planning processes. Millennials make up a ; substantial portion of the population, and their travel and consumer behavior will have large ; effects on the future demand for travel and goods. Further, millennials are often early adopters ; of new trends and technologies; therefore, improving the understanding of millennials’ choices ; will increase the ability to understand and predict future trends at large. ; This study builds on a large research effort launched by the National Center for Sustainable ; Transportation to investigate the emerging transportation trends and the impacts of the ; adoption of new transportation technologies in California, particularly among the younger cohorts, i.e. millennials and the members of the preceding Generation X. During the previous ; stages of the research, we designed a detailed online survey that we administered in fall 2015 ; to a sample of 2400 residents of California, including millennials (young adults, 18-34 in 2015) ; and Gen Xers (35-50 year-old adults). We used a quota sampling approach to recruit ; respondents from each age group (young millennials, older millennials, young Gen Xers, and ; older Gen Xers) across all combinations of major geographic region of California and ; neighborhood type (urban, suburban, and rural). ; The result is the California Millennials Dataset, a comprehensive dataset that contains ; information on the respondents’ personal attitudes; lifestyles; adoption of online social media ; and use of information and communication technology (ICT) devices and services; residential location and living arrangements; commuting and other travel patterns; auto ownership; ; awareness, adoption and frequency of use of various shared mobility services; major life events ; in the past three years; expectations for future events; propensity to purchase and use a private ; vehicle vs. to use other means of travel; political ideas, and sociodemographic traits. ; This report summarizes the analyses of the residential location, travel behavior and vehicle ; ownership of millennials and Gen Xers. In this stage of the research, we augmented the ; California Millennials Dataset with additional variables measuring land use and built ; environment characteristics from other sources including the U.S. Environmental Protection ; Agency’s Smart Location Dataset, and the walkscore, bikescore and transitscore from the ; commercial website walkscore.com. We weighted the data to correct the distribution of cases ; in the sample, and to reduce the non-representativeness of the data, based on the region of ; California where the respondents live, the neighborhood type, the age group, gender, student ; and employment status, household income, race and ethnicity, and presence of children in the ; household.
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Main Document Checksum:urn:sha-512:e136887aa46d58c440dbae2186146d03e3d4e1ed981a8f4b4b9f264849c69865e2ab4cfb1b96684454428e3bce629f1c63833295716d5f0515826085987936a4