Details:

Creators:
Circella, Giovanni ; Alemi, Farzad ; Tiedeman, Kate ; Berliner, Rosaria M. ; Lee, Yongsung ; ... More +
Circella, Giovanni ; Alemi, Farzad ; Tiedeman, Kate ; Berliner, Rosaria M. ; Lee, Yongsung ; Fulton, Lew ; Mokhtarian, Patricia L. ; Handy, Susan Less -
Corporate Creators:
University of California, Berkeley. Institute of Transportation Studies
Corporate Contributors:
National Center for Sustainable Transportation
Subject/TRT Terms:
[+]
Millennials
Millennials' Mobility
Activity Choices
Mobility
Mode Choice
Route Choice
Travel Behavior
Travel Patterns
Young Adults

Resource Type:
Tech Report
Geographical Coverage:
California ; United States
California ; United States Less -
Corporate Publisher:
National Center for Sustainable Transportation
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.


Format:
PDF
Collection(s):
US Transportation Collection
University Transportation Centers
Main Document Checksum:
[+]
urn:sha256:9e352aed57d396f1ec0f716b5c3bda113d1098c4d7eb91361f211c4c6aaca195
File Type:

Supporting Files

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