FHWA > Policy > Office of Transportation Policy Studies
FHWA Office of Policy and Governmental Affairs, Transportation Studies (HPTS)
The travel of people in the United States is influenced by a combination of events, including life cycle changes, demographic and socioeconomic factors, generational social norms, and the exposure and adaptation of people to new technologies and travel options. In the Federal Highway Administration's (FHWA) research on meeting future travel demand on the transportation system, the transportation perspectives, preferences and needs of the younger traveler (under the age of 30), is an area that needs further research. The FHWA Office of Policy, Transportation Studies Futures Team is conducting a formal study to examine youth travel, which will be used to develop policy recommendations based on improved forecasts of demand, vehicle usage and the impacts of new transportation technologies on personal travel.
The work completed under this project involves a quantitative and qualitative evaluation of current and emerging travel shifts among the different generations. The quantitative portion of this project is the cohort analysis, using primarily National Household Travel Survey (NHTS) data to analyze differences across age groups and generations over time and to identify any new or emerging predictors of travel and changes in travel behavior that fall outside the traditional norms of travel as a person ages from youth to retirement. The qualitative portion of this project will include the conduct of several nationwide focus groups to gather detailed information on generational perceptions and attitudes regarding personal travel, the environment, communications and technology.
In addition to both the cohort analysis and focus groups, in-depth literature reviews were written on both generational travel trends (with a focus on younger populations), and how future generations will interface with emerging technologies in the areas of Information and Communication Technologies (ICT), Global Positioning Systems (GPS), Intelligent Transportation Systems (ITS), electronic payment systems and fuel efficient vehicles. The results of the analyses will be used to develop profiles of the future traveler and to forecast future travel demand and characteristics through scenario development. The information to be presented in the final report is ultimately intended to be used in reference to the development of current and future transportation policies.
For the purposes of this study, age group differences will be analyzed as a result of three overlapping processes—life cycle effects, period effects and cohort effects,1 with an emphasis on how these differences affect travel.
Life cycle effects can be defined as the characteristics or events that occur within a person's life that create a change in one's lifestyle. Life cycle effects considered most often in travel behavior-related studies include age, income, whether children are present in the household, household size, worker status and vehicle ownership. Of all the life cycle effects identified, age and income have been noted to have the greatest impact on how much a person travels. Research has shown that over time the amount of vehicle miles people travel peaks around mid life and then gradually decreases as they age, most likely due to health issues that impede driving as a person ages, such as poor vision.
Income is also a strong indicator of how much a people travel. Historical trends have shown that as real personal incomes have risen, so has vehicle miles traveled (VMT).2 Higher incomes contribute to increased car ownership and expenditures on transportation and can influence the length and number of trips people take as they may commute longer distances from areas of choice housing and/or take more discretionary trips.
In addition to the life cycle effects mentioned above, this study will consider the lifestyle of today's young people, where and how they live, and how new technologies and viewpoints may affect the way they use their time and how they make their travel decisions.
Period effects are social movements, economic downturns, major events, medical, scientific, or technological breakthroughs that affect all age groups on a large scale and simultaneously, but the degree of impact may differ according to where people are in their life cycle.
The economy plays a significant role in increases and decreases in VMT because of its effect on gas prices, personal income and the household budget. In the short term, rises in the price of gas have contributed to drops in VMT, as this has occurred during times of past economic recessions and/or crises, namely the 1973 OAPEC Oil Embargo, the1979 Oil crisis, the 1981-1982 Global Recession and the Great Recession of 2008.
As people lose their jobs or experience limited income growth during a recession, they adjust their household budget to meet the demands of rising transportation costs. In addition to fuel, insurance, vehicle repair and maintenance expenses, other factors that affect household transportation costs include the number of miles someone needs to travel, the number of wage earners per household, location, vehicle fuel efficiency and the costs for bus and rail services. Often there is a tradeoff between what a household spends on housing vs. transportation (i.e. if more is spent on housing, then less is spent on transportation and vice versa.3)
Impacts of the current recession have especially effected younger generations, specifically Generation Y (ages 18-29). A Pew Center survey in February 2010 stated that 37 percent of young respondents were either underemployed or out of work, the highest share within this age group in more than three decades. Long spans of unemployment not only causes depression, anxiety and other health-related issues, but can affect long-term income growth, as noted in a recent Time article, "if and when these young people return to work, they'll earn 20% less over the next 15-20 years compared to peers who were employed."4Because of their financial situation, many young people are delaying marriage, staying in school, and choosing to remain living at home with their parents. Their financial situation also affects their travel mode of choice, whether or not they own a fuel efficient vehicle and other income-related travel decisions which are made in the context in rising fuel prices and transportation costs. In addition, current high unemployment has overall resulted in fewer people driving to work. 5Reductions in consumer spending have resulted in fewer shopping trips and lower shipment of freight, contributing to declines in VMT. Although these declines may not have a lasting effect, they show how sensitive changes in VMT are related to changes in the economy.
Public sector and private sector policies and programs affect personal travel behavior. In the past 10 to 15 years, regulatory initiatives from the public sector have made the process for obtaining a driver's license more rigorous. Since 1996, all 50 US States have adopted some form of a graduated licensing, which usually involves a multiple step process for young drivers to get their driver's license, including a minimum number of supervised driving hours, restrictions on the hours of the day young people can drive, as well as on the number of passengers they can carry. Due to budget constraints, many school systems which once offered driver's education as part of the high school curriculum have eliminated the program, shifting the cost of driver's education from the state to parents. Today, only 15 percent of students are enrolled in driver's education through their schools. Additionally, student and employer subsidies in urban areas and other public subsidies for public transportation use may encourage a shift to other modes.
Social trends and movements over time have affected personal travel in a variety of ways; for instance, the trend of women entering the workforce over the past 50 years has added to the number of vehicle trips,6 and an increase in trip chaining, as women often combine their commute with transporting children and other household responsibilities. This change has resulted in a permanent shift in travel demand and vehicle ownership. The environmental movements of the 1970s which fostered the Clean Air Act and Corporate Average Fuel Economy (CAFE) standards have led to improvements in vehicle fuel efficiency and to programs such as the Congestion Mitigation Air Quality (CMAQ) federal program, which requires transportation planning agencies to implement measures for reducing number of vehicles on the road in areas not meeting air quality standards. Since 1970, harmful emissions from exhaust fumes have been reduced significantly, and increases have been made in mobility options, such as transit.7
Large-scale catastrophes and tragic events may also lead to changes in public opinion that could affect travel; for instance, incidents like the Deepwater Horizon oil spill in the Gulf Coast in April 2010, remembered as the largest marine oil spill in petroleum industry history, have raised the public's environmental awareness. A poll conducted through the Pew Center in June 20108, reported that sixty-five percent of young people surveyed said that the highest goal of U.S. policy should be protecting the environment. If youth continue to hold fast to their views, it's possible that there may be changes in their vehicle purchases, as well as in their efforts to reduce their driving based on how they feel about the environment. Currently, economics still plays a large role in their purchasing decisions as most people under 30 drive gasoline-powered vehicles;9 however, it is possible they may develop a future preferences for smaller vehicles or increase their usage other modes of travel for both environmental and economic reasons.
Technological breakthroughs and market-wide adoption of products in the realm of Information Communication Technologies (ICT) and wireless platforms have changed the way many of us interact with one another. Currently, nearly all of U.S. zip codes have some level of broadband access, further making these technologies available to a majority of households in the U.S. Younger generations, who have grown up using the Internet, have been noted for their high usage of online and instant communication. Seventy-eight percent of persons ages 12-24 and sixty-five percent of persons ages 25-34 have a social networking profile page on Facebook, MySpace, LinkedIn or other social networking site10, and ninety-four percent of persons aged 18-34 use their phone for text messaging.11 As many youth now spend a significant amount of time online, it raises the question to whether they communicate and socialize differently than generations before them, perhaps reducing their need to travel, or in some cases increasing it depending on the area they live in.
Many State Departments of Transportation have recognized the need for reaching younger audiences using online social media tools and digital platforms, and have integrated social networking sites into their communication programs. According to an AASHTO survey in February 2010, about half of all DOTs have an active Facebook page, and use Twitter to communicate traffic incidents and road closings.12 These states report that these methods of communication are decidedly more efficient in reaching the public with time sensitive traffic and travel information, especially the youth.
Younger generations may also be more willing and open than older generations to publically share information and less concerned over privacy issues related to new transportation-related technologies, such as GPS systems, electronic toll collection, or paying virtually for travel. A Pew Center report on people's expectations for the future of the Internet, says that, "Tech experts generally believe that today's tech-savvy young people will retain their willingness to share personal information online even as they get older and take on more responsibilities," and that the benefits of personal disclosure will outweigh their concerns over their privacy.13
Technology use may also change how young people use their time and, therefore, how much they travel and for what purposes (Kwan, 2002). 2009 NHTS results show that seventy percent of people under the age 40 use the Internet on a daily basis, a significantly higher percentage than those persons over the age of 40. Within the past decade, there have been various studies with mixed results on the effects of Internet use on travel using the following paradigm:
There are a number of additional considerations when relating Internet use to travel including the following: 1) the types of goods being purchased online (whether they actually replace a shopping trip), 2) trips that generate a shopping trip because of information obtained, 3) activities that are more attractive for completing a task online (such as banking), 4) the time of the year when internet activity may be higher, 5) time spent engaged in social networking, and 6) internet applications that support travel, such as real time travel information, mapping and route choice services Whether people live in a more rural or urban area may also affect the frequency of their Internet usage, as well the time they are willing to spend traveling each day. Taking all these considerations into account increases the complexity of drawing definite conclusions, as it is a topic for further study.
The Internet and mobile technologies have enabled people to access information from almost any location, increasing mobility and changing the way we work and socialize. Some researchers believe that younger persons' preoccupation with the Internet and mobile devices plays a role in reducing their driving because they have become more preoccupied with their mobile devices, making cars less desirable or useful and public transportation more relevant.14 Present mobile phone applications that provide travel information have enabled people to become smarter and more efficient travelers. With these technologies, people can map out routes instantly, avoid congestion, find parking, pay for a transit trip, arrange for carpooling and locate a vehicle, if using a car sharing service. Younger populations have been especially noted for their preference in using digital directions, rather than reverting to a map or stopping at a gas station.15 Web-based technologies have also enabled more people to work from home, as teleworking has increased 92 percent from 1980 to 2000. It is expected that as society's familiarity with the technology and desire for work-life balance grows, especially among younger generations, working from an alternate locations will continue to increase.
Other technological advancements in transportation in ICT as applied to transportation infrastructure and vehicles, also include some of the following ITS applications: Global Positioning Systems (GPS), electronic toll collection, vehicle tag recognition, variable message signs and High Occupancy Toll (HOT) lanes.16 As of 2010, over fifty percent of freeway miles have real-time data collection activities, and dynamic message signs have been deployed in nearly ninety-five percent of all freeway miles.17 Further research is yet to be done on how the integration of these technologies into present day and future transportation systems will affect personal travel and VMT. As a part of this project, a accompanying scan report has been completed on ICT, GPS ITS, payment systems and fuel efficient vehicles as related to the user.
Period events, social trends and technological advancements leave a deep impression on young adults because they are still developing their core values at an early part of their life cycle.18 It is difficult to say which formative experiences younger generations will carry forward throughout their life because as people age they tend to become more alike and more like previous generations before them. One example of this would be the amount of miles someone travels over their lifetime, typically, people travel more in their younger and working years, but as they age, they travel less, as shown in the figure below. This is a generational travel norm that isn't expected to change much over time, as often a person's travel decreases because of health limitations that occur with age.
The purpose of the literature scan was to help identify differences in generations that may have a lasting change, and define what these variables might be through further analysis. Variables which are known to be, or seem likely to be subject to short-term fluctuation, need to be considered for their lasting impact; for instance, rises and falls in response to unevenly space phenomena such as economic recessions.19 The 2009 NHTS data, for instance, was collected during 2008, a peak recession year, which is believed to account for significant drops in travel, as shown in the table below. The travel of respondents under the age of 30; however, has been declining for some time, which raises the question as to whether there may other reasons for the steady drop in travel among younger populations, even in times when total population is steadily increasing.
Figure 2. Percent Change in VMT and PMT for NHTS Survey Years 1995, 2001 and 2009
|Survey Year||Average Annual VMT1
|Survey Year||Average Annual PMT
The purpose of the cohort analysis is not only to determine travel differences between generations, but to identify the influencing factors that cause there to be differences. For instance, the recession has caused many young people to delay marriage and live at home longer with family members, less likely to own a vehicle and more reliant on car pooling, car sharing and other modes for travel. Graduated licensing laws and regulations might cause young people to delay getting their license and depend on other modes for travel. In addition, environmental views and preferences for being driven because of their use of handheld devices may be additional reasons for other mode use.
Today's youth also spend a considerable amount of time online socializing, shopping and going about other daily activities; this raises the question to whether any of this activity replaces trip making or has any effect on changing travel preferences. Advancements in ICT and ITS technologies have changed the way people interact and communicate with one another, as well as have enabled them to become more mobile, informed and more in control of their travel decisions. The reliance of today's youth on technology may be a cohort effect that accounts for differences in travel from older generations, and will be explored further through the nationwide focus groups, in addition to data analysis on travel and Internet use.
Figure 3. Potential Explanations for Travel Differences between Younger and Older Adults
|Type of effect||Factors|
|Life cycle||Delayed marriage|
|Period Effects||Economic downturn (Great Recession)|
|Changes in driver's licensing laws/regulations|
|Views about the environment|
|Cohort Effects||Reliance on technology|
Typically people are grouped into age cohorts around decades or significant time periods. People born in the same year, for example, are birth cohorts (generation) for that year.20 For the purpose of this scan report, conventional definitions of generations have been used as the unit of analysis, to understand the travel characteristics of Generation Y; however, further study to be included into the final report, will include the results of a cluster analysis of the aged16-30 group to determine whether there are natural "travel behavior breakpoints" among teens and young adults that can be used to better define the age categories.
The cohort analysis plan is to use the NHTS data sets (1990-2009) to construct a set of statistical models to predict the determinants of transportation outcomes for youth who live in urban areas. It will be supplemented by data on state driver's licensing regulations and local unemployment rate data from the Bureau of Labor Statistics to fully construct these models. A set of cross sectional models will be constructed by age cohort will then be developed to examine key determinants of travel, including sex, race/ethnicity, education, household size and structure, household income, education, worker/student status, vehicle ownership/access, use of technology, driver's licensing regulations in state in which respondent lives, local unemployment rate, and residential location (i.e. metropolitan area, central city/suburb, residential density, presence of rail).
In a separate analysis, multiple years of the NHTS will be used to construct a "pseudo-cohort analysis" (as panel data is not available), in which multiple cross-sectional data sets will be used to track the behavior of age cohorts across survey years,21 as shown in the sample table below.
Figure 4. Age Cohorts
|Survey Years||Age Cohorts|
The multiple cross-sectional data will then be used in a set of statistical models to examine whether the results differ from those produced by the cross sectional models. Approximately ten models will be produced to analyze two outcomes measures: (1) PMT and trip frequency, or (2) travel mode for work and non-work travel. Through this analysis, the independent effects of a number of factors on the travel of young adults will be explored quantitatively.
The following is a list of summary points and conclusions drawn from the literature scan on The Next Generation of Travel, which will be considered when writing the final report, due to be completed in late 2012:
Anable, Jillian. "‘Complacent Car Addicts' or ‘Aspiring Environmentalists'? Identifying travel behavior segments using attitude theory." Transport Policy. Volume 12, 2005. (pgs 65–78).
APTA. "It Pays to Ride Public Transportation." Pamphlet of the American Public Transportation Association, March 2009. Available at: <http://www.thebus.org/EmpProgram/Doc/pays_to_ride.pdf> as of 27 July, 2011.
Associated Press. "Some schools drop driver's ed to cut costs."MSNBC.com US News: Education. Dec. 18, 2009. Accessed online Jan. 14, 2011. <http://www.msnbc.msn.com/id/34483262/ns/us_news-education/>
Bamberg, Sebastian, and Peter Schmidt. "Changing Travel-Mode Choice as Rational Choice: Results from a Longitudinal Intervention Study." Rationality and Society. Vol. 10 (2), May 1998.
Booz Allen Hamilton. "Energy Trends: New Hybrids Breaking Out of Niche?" Booz Allen, 2004.
Boston Consulting Group. "Batteries for Electric Cars: Challenges, Opportunities and the Outlook to 2020." Boston Consulting Group, 2010. Accessed online Jan. 10, 2011. <http://www.bcg.com/documents/file36615.pdf>
Black, Lee, Jack Mandelbaum, Indira Grover, and Yousuf Marvi. "The Arrival of ‘Cloud Thinking.'" Management Insight Technologies White Paper. November 2010.
Bressler, Jeff. "Generation Y, the Green Car Generation." Autrotropolis.com. Accessed online. Jan 3, 2011. <www.autotropolis.com/wiki/index.php?title=Generation_Y,_the_Green_Car_Generation>
Brokaw, Tom. "Tom Brokaw Reports: Boomer$." CNBC. March 2, 2010, Available at <http://www.cnbc.com/id/34840866/>
Brokaw, Tom. "The Greatest Generation," Random House, 1998.
Business Dictionary.com, <http://www.businessdictionary.com/definition/cohort.html>
Campbell, S.M., Hoffman, B.J., & Lance, C.E., Twenge, J., "Generational Differences in Work Values: Leisure and Extrinsic Values Increasing, Social and IntrinsicValues Decreasing." <www.sdnn.com/sandiego/2010-03-11/study-gen-x-gen-y-workers>August 6, 2010.
Capgemini. Cars Online 07/08: Responding to Changing Consumer Trends and Buying Behavior. Accessed online Jan 11, 2011. <http://www.us.capgemini.com/insights-resources/publications/cars->
Capgemini. Cars Online 09/10: Responding to Changing Consumer Trends and Buying Behavior. Accessed online Jan 11, 2011. <http://www.us.capgemini.com/news-events/press-releases/Capgemini-Cars-online-study/>
Center for Disease Control. "U.S. Teen Birth Rate Hits Record Low in 2009, CDC Report Finds, Total births and fertility rate also down." Center for Disease Control Press Release. CDC National Center for Health Statistics Office of Communication December 21, 2010. Accessed online January, 28, 2011.
Changewave Research. Corporate Smart Phones and Tablets - 1Q 2011 Business Spending Outlook, December 1, 2010.
Cisco. "Cisco Study Finds Telecommuting Significantly Increases Employee Productivity, Work-Life Flexibility and Job Satisfaction." Accessed online 12/8/2010. <http://newsroom.cisco.com/dlls/2009/prod_062609.html?print=true>
Choo, Sangho, Particia Mokhrarian, and Ilan Salomon. "Impacts of Home-Based Telecommuting on Vehicle-Miles Traveled: A Nationwide Time Series Analysis." A study prepared for the California Energy Commission (UCD-ITS-RR-02-05), October 2002. <http://www.its.ucdavis.edu/publications/2002/UCD-ITS-RR-02-05.pdf>
Choo, Sangho, Particia Mokhrarian, and Ilan Salomon. "Does Telecommuting Reduce Vehicle Miles Traveled? An Aggregate Time Series Analysis of the US." Transportation 32(1), 2005, 37-64 July 2004. <http://126.96.36.199/eps/em/papers/0505/0505001.pdf>
Cheung, Edward. Baby Boomers, Generation X and Social Cycles, 1995, p.97.
Cheung, Edward. Baby Boomers, Generation X and Social Cycles, 1995, p.97., P. Taylor, Pew Center Conference, Washington, D.C., 2010.
Clean Air Campaign. "Tax Benefits." Accessed online Jan 17, 2011. <www.cleanaircampaign.org/Our-Services/Employer-Services/Tax-Benefits>
ComScore. "Mobile Facebook, Twitter Growth Explodes." Accessed online January 6, 2011. <http://www.marketingcharts.com/interactive/mobile-facebook-twitter-growth-explodes-12179/>
Contrino, Heather and Nancy McGuckin. "An Exploration of the Internet's Effect on Travel." August 1, 2006.
Copeland, Larry. "Driver's ed set for revival in public school." USA Today. Sept. 29, 2009. Accessed online Jan. 14, 2011. <http://www.usatoday.com/news/nation/2009-09-28-drivers-ed_N.html>
Copeland, Michael V. "The hydrogen car fights back", Fortune magazine, October 14, 2009.
Crane, Randall. "Is There a Quiet Revolution in Women's Travel?" Journal of the American Planning Association 73 (3), 2007. Deloitte and Touch "A new era: Accelerating toward 2020 — An automotive industry transformed." Deloitte and Touche, 2009.
Dargay, Joyce, Dermot Gately, and Hillard G. Huntington. "Price and Income Responsiveness of World Oil Demand, by Product." New York University Working Paper December 20, 2007.
Deloitte Development LLC. "Generation Y: powerhouse of the global economy Restless generation is a challenge–and a huge opportunity–for employers." <http://www.deloitte.com/view/en_US/us/Services/consulting/consulting-services/human-capital/Talent-Consulting-Consultant-Consultants-Human-Capital/article/a90f49642dff0210VgnVCM100000ba42f00aRCRD.htm>
Dieringer Research Group Inc. "WorldatWork Telework Trendlines." Dieringer Research Group Inc., 2009.
Doyle, D., & Taylor, B. "Variation in metropolitan travel behavior by sex and ethnicity." In Travel patterns of people of color: Final report. Columbus, Ohio. Washington, DC: U.S. Department of Transportation, Federal Highway Administration, 2000.Goldberg P. K., "The Effects of the Corporate Average Fuel Efficiency Standards." Journal of Industrial Economics, Vol 46 (4), 1998 (pgs1-33).
Effectiveness and Impact of corporate Average Fuel Economy (CAFE) Standards, Board on Energy and Environmental Systems, The National Academy of Sciences, 2002.
Facebook. "Facebook Statistics." Accessed online Jan. 7, 2011. And ComScore. "Mobile Facebook, Twitter Growth Explodes." Accessed online January 6, 2011. <http://www.marketingcharts.com/interactive/mobile-facebook-twitter-growth-explodes-12179/>
Fairfield, Hannah. "Driving Shifts into Reverse." The New York Times. New York Edition page BU7. May 2, 2010.
Festin, Scott M. "Summary of National and Regional Travel Trends: 1970-1995." US Department of Transportation Federal Highways Administration May 1996 .
First Data Government and Transit Task Force. "Transit Payment Systems: A Case for Open Payments". 2010. <http://www.fundxpress.com/downloads/thought-leadership/transit-payment-systems_wp.pdf>
Flamm, Bradley. "Environmental Knowledge, Environmental Attitudes, and Vehicle Ownership and Use." A dissertation submitted to the Graduate Division of the University of California, Berkeley, Fall 2006.
Flamm, Bradley. "Environmental Knowledge, Environmental Attitudes, and Vehicle Ownership and Use." A presentation to the TRB Annual Meeting, January 23, 2007.
Fletcher, Dan. "Facebook: Friends Without Borders," Time Magazine, May 2010
Frey, William H., Metro America in the New Century: Metropolitan and Central City Demographic Shifts Since 2000, The Brookings Institute, 2005.
Gately, Dermot and Hillard G. Huntington. "The Asymmetric Effects of Changes in Price and Income on Energy and Oil Demand."The Energy Journal 23(1), 2002. (pgs. 19-55).
Glenn, Norval D., "Cohort Analysis" Sage Publications, Inc., 1977
Goldin, C., Katz, L., & Kuziemko, I. "The homecoming of American college women: The reversal of the college gender gap." Journal of Economic Perspectives, Vol. 20(4), 2006 (pgs 133-156).
Golob, Thomas. "Impacts of Information Technology on persona travel and commercial vehicle operations: research challenges and opportunities." TRB. June 2000.
Gossen, Rachel and Charles L. Purvis, "Activities, Time, and Travel Changes in Women's Travel Time Expenditures, 1990–2000"Greene D.L., J.R. Kahn and R.C. Gibson, "Fuel Economy Rebound Effect for US Households." Energy Journal, Vol 20 (3), 1999 (pgs 1-31).
Greed, Clara. "Are we there yet? Women and Transport Revisited" in Gendered Mobilities. Burlington ,VT: Ashgate Publishing, 2008.
Gregory, Ted. "Fewer 16-year-olds in Illinois have driver's licenses." Chicago Tribune, June 22, 2010. <http://archive.chicagobreakingnews.com/2010/06/ill-teen-population-rises-with-fewer-licensed-16-year-olds.html>
Harris Interactive. "Cloud Computing: Final Report." Harris Interactive Public Relations Research. September 24, 2010.
Hiroyuki, Iseki. "Survey on Status of Knowledge and Interest of Smartcard Fare Collection Systems among US Transit Agencies".2006. <http://www.path.berkley.edu/PATH/Publications/PDF/PRR/2006/PRR-2006-12>
Holguin-Veras, Jose, Kaan Ozbat, and Allison de Cerreño. "Evaluation Study of Port Authority of New York and New Jersey's Time of Day Pricing." March 2005. NJ Department of Transportation. FHWA/NJ-2005-005.
Huso, Deborah. "It's All in the Family," Washington Post Homebuyers Guide, The whole Family Edition. April 2010.
Hybridcars.com, "Profile of Hybrid Drivers." March 31, 2006. Accessed online <http://www.hybridcars.com/hybrid-drivers/profile-of-hybrid-drivers.html>
IBM Group. Future Focus: Travel. White Paper June 2009. <https://www.304.ibm.com/businesscenter/cpe/download0/177501/IBM_White_Paper_3.pdf >
IE Market Research. "3Q. 2010. US GPS Navigation and Location Based Services Forecast." IEMR, July 1, 2010.
Jake on Jake on Jobs.com, "Work/Life Balance Isn't Healthy for 20-Somethings," February 14, 2009.
Jones, Sydney, and Susannah Fox, "Generations Online in 2009 "Pew Internet & American Life Project." January 28, 2009.
Karaca-Mandic, Pinar and Greg Ridgeway. "Behavioral Impact of Graduated Drivers Licensing on Teenage Driving Risk and Exposure." Journal of Health Economics, vol. 29 (1), 2010 (pgs 48-61).
Kelley, Debbie. "Human Resource Expert: Prepare now for post-recession market." Colorado Springs Gazette. August 11, 2009. Accessed online: <www.gazette.com>
Kotkin, Joel. The Next Hundred Million: America in 2050, The Penguin Press, NY, 2010.
Lenhart, Amanda, Kristen Purcell, Aaron Smith and Kathryn Zickuhr. "Social Media and Mobile Internet Use Among Teens and Young Adults" Pew Research Center's Internet and American Life Project. February 3, 2010. <http://pewinternet.org/Reports/2010/Social-Media-and-Young-Adults.aspx>
Litman, Tod. The Future Isn't What It Used To Be: Changing Trends and Their Implications for Transport Planning, Victoria Transport Policy Institute, Canada, July 2010.
Madland, David, Teixeira, Ruy. "New Progressive America: The Millennial Generation", Center for American Progress, May 13, 2009, <http://www.americanprogress.org/issues/2009/05/millennial_generation.html>
Martin, Scott. "New Study Reveals More about Map and GPS Habits." GPS Lodge. August 16, 2006. Accessed online Dec. 22, 2010. <http://www.gpslodge.com/archives/006968.php>
"Maximizing the value of telepresence." Frost and Sullivan White Paper.
McGukin, Nancy and Yukiko Nakamoto. "Differences in Trip Chaining by Men and Women." Research on Women's Issues in Transportation. TRB Conference Proceedings #35. Chicago, Il: November 18-20, 2004.
McGuckin, N., and E. Murakami. "Examining Trip- Chaining Behavior: Comparison of Travel by Men and Women." Transportation Research Record: Journal of the Transportation Research Board, No. 1693, TRB, National Research Council, Washington, D.C., 1999, (pp. 79–85). npts.ornl.gov/npts/1995/Doc/chain2.pdf
Meeker, Mary. Internet Trends 2010. April 12, 2010. Morgan Stanley Research. Accessed online 1/3/2010. <http://www.morganstanley.com/institutional/techresearch/pdfs/Internet_Trends_041210.pdf>
Metro America in the New Century: Metropolitan and Central City Demographic Shifts, The Brookings Institution, 2005.
Mildwurf, Bruce. "State deficit could put brakes on driver's ed classes." WRAL. April 7, 2010. Accessed online Jan 14, 2011. <http://www.wral.com/news/local/politics/story/7378142/>
Miller, Virginia. "Telling the Story of Public Transportation's Positive Environmental Impact" American Public Transportation Association Press Release. April 21, 2010.
Mokhtarian P L, "A Typology of Relationships between Telecommunications and Transportation" Transportation Research Part a-Policy and Practice. Vol. 24, 1990 (pgs231-242).
Mokhtarian P L, "A conceptual analysis of the transportation impacts of B2C e-commerce" Transportation. Vol. 31, 2004 (pgs 257-284).
Mokhtarian P L, Circella G, "The role of social factors in store and internet purchase frequencies of Clothing/Shoes", in workshop proceedings of: The international workshop on Frontiers in Transportation: Social Interactions. Amsterdam, Netherlands: 2007.
Morello, Carol. "Suburbs Taking on a More Diverse Look," Washington Post, May 9, 2010.
Multisystems, Inc. "Fare Policies, Structures and Technologies: Update". 2003. TCRP Report 94. <http://onlinepubs.trb.org/onlinepubs/tcrp/tcrp_rpt_94.pdf>
Neff, Jack. "Is Digital Revolution Driving Decline in U.S. Car Culture?" Advertising Age, May 2010.
National Journal. Millennials: Just Kind of Doing My Own Thing. 2010 (pgs 66-68).
National Surface Transportation Policy and Revenue Commission Briefing Paper 4A-05: Implication of Rural/Urban Development Patterns on Passenger Travel Demand, January 2007.
National Surface Transportation Policy and Revenue Commission Briefing Paper 4A-04: Implications of Regional Migration on Passenger Travel Demand, January 2007.
National Surface Transportation Policy and Revenue Commission Briefing Paper 4H-01: Potential Impacts on Increased Telecommuting on Passenger Travel Demand, January 2007.
National Surface Transportation Policy and Revenue Study Commission, Briefing Paper 4A-03: Implications of Alternative Assumptions Concerning Future Immigration on Travel Demand for Different Modes, January 2007.
National Surface Transportation Policy and Revenue Study Commission, Briefing Paper 4A-02: Implications of Aging on Passenger Travel Demand for Different Modes, January 2007.
National Surface Transportation Policy and Revenue Study Commission, Commission Briefing Paper 4A-06, Implications of Rising Household Income on Passenger Travel Demand, 2007.
Glenn, Norval, Cohort Analysis, Sage Publications, 1977
Oregon Department of Energy. "Oregon Department of Energy- Transportation." Accessed online Jan 17, 2011 <www.oregon.gov/energy/trans/transhm.shtml>
Our Nation's Travel: Current Issues, 2001 National Household Travel Survey, USDOT-FHWA, Publication No. PL-05-015, 2001.
Parka, Sung Y. and Guochang Zhaoc, "An estimation of U.S. gasoline demand: A smooth time-varying cointegration approach" Energy Economics. Volume 32, Issue 1, January 2010 (pgs 110-120).
Pascal, Jeffrey and and D'Vera Cohn. "Immigration to Play Lead Role In Future U.S. Growth." Pew Research Center, February 11, 2008.
Pendyala R M, K G Goulias, and R Kitamura. "Impact of Telecommuting on Spatial and Temporal Patterns of Household Travel" Transportation. Vol.18,1991 (pgs 383-409).
Pisarski, Alan, Commuting in America III: The Third National Report on Commuting Patterns and Trends, Transportation Research Board, 2006, pg. 19 Price Waterhouse Cooper. "Capitalizing on Change: The Electric Future of the Automotive Industry." Price Waterhouse Coopers Global Automotive Perspectives Services, 2009.
Pisarski, Alan. Commuting in America III: The Third National Report on Commuting Patterns and Trends, Transportation Research Board, 2006.
Plug-In Cars: Powering America Towards a Cleaner Future, Environment Texas Research and Policy Center, Siena Kaplan Frontier Group, Rob Sargent Environment America Research & Policy Center, January 2010.
Price Waterhouse Cooper. "Capitalizing on Change: The Electric Future of the Automotive Industry." Price Waterhouse Coopers Global Automotive Perspectives Services, 2009.
Salomon, I. "Telecommunications and Travel Relationships - a Review" Transportation Research Part a-Policy and Practice. Vol. 20,1986 (pgs 223-238).
Schofer, Joseph, Frank Koppel, and William Charlton. "Perspectives on Driver Preferences for Dynamic Route Guidance Systems." Transportation Research Record. Vol. 1588, TRB, 1997 (pgs 26-31).
Shaputis, Kathleen. The Crowded Nest Syndrome, Clutter Fairy Publishing, 2004.
Singer, Audrey. "Immigration." The State of Metropolitan America. Brookings Institution. Accessed online February 16, 2011. <http://www.brookings.edu/metro/MetroAmericaChapters/immigration.aspx>
Small, Kenneth A. and Kurt Van Dender. "Fuel Efficiency and Motor Vehicle Travel: The Declining Rebound Effect." Energy Journal, vol. 28, no. 1 (2007), pp. 25-51.
Smith, Aaron. "Home Broadband 2010." Pew Research Center's Internet and American Life Project. August 11, 2010. <http://pewinternet.org/Reports/2010/Home-Broadband-2010.aspx>
Smith, A. M., J. Pierce., R. Upledger., and P.A. Murrin. "Motor vehicle occupant crashes among teens: impact of the graduated licensing law in San Diego." 45th Annual Proceeding of the Association for Advancement of Automotive Medicine. Barrington, IL: AAAM, 2001 (pgs. 379–385).
Society for Human Resource Management/National Journal Congressional Poll (on energy and climate change policies), Pew Center, June 2010.
"State Departments of Transportation Lead the Way Using New Media", AASHTO Communications Brief, February 2010.
State of Metropolitan America: On the Front Lines of Demographic Transformation, The Brookings Institution,Metropolitan Policy Program, 2010.
Sweeney, R. "Millennial Behaviors & Demographics", 2006 New Jersey Institute of Technology.
The Pew Research Center, "Recession Turns a Graying Office Grayer," 09/03/2009. Released by <www.CityTown Info.com, 09/09/2009>
The Pew Research Center. Millennials: A Portrait of Generation Next, Washington, D.C. 2010.
The Pew Research Center. Millennials: A Portrait of Generation Next, Confident, Connected, Open to Change, Chapter 3, p.13.
The Pew Research Center. Portrait of Millennial Conference, Newseum, Washington, D.C., 2010.
The Pew Research Center. Generations and their gadgets, Washington, D.C. February 2011, http://pewinternet.org/Reports/2011/Generations-and-gadgets.aspx
The Infinite Dial 2010: Digital Platforms and the Future of Radio, 18th Edison Research/Arbitron Internet and Multimedia Study, May 2010.
Thornhill, M. & Martin J., Boomer Consumer, LINX Corp.
"TomTom Survey Reveal Interesting Facts about Drivers." Accessed online December 22, 2010. <http://gps-cartracking.com/tomtom-survey-reveals-interesting-facts-about-drivers>
Tonn B E, Hemrick A, "Impacts of the Use of E-Mail and the Internet on Personal Trip-Making Behavior" Social Science Computer Review. Vol 22, 2004 (pgs 270-280).
"Transit Subsidy will Drop $110/ month unless extended, APTA Warns." Weekly Transportation Report: AASHTO Journal. December 3, 2010.
Transport for London. "Transport for London's Oyster Card". 2007. <http://www.tfl.gov.uk/tickets/oysteronline2732.aspx>
TRB Special Report 220: A Look Ahead Year 2020, Transportation Research Board Committee for Conference on Long Range Trends and Requirements for the Nation's Highway and Public Transit Systems, 1998.
Trong, Stephanie. Sky, Delta Airlines: The M Factor, 2010 (pgs 70-73, 100-105).
US Department of Transportation. FHWA. "NPTS Brief: Mobility and the Melting Pot". January 2006. <http://nhts.ornl.gov/briefs/Mobility and the Melting Pot.pdf>
U.S. Department of Energy. Energy Efficiency & Renewable Energy. Retrieved from <http://www.fueleconomy.gov/>
U.S. Energy Information Administration, Office of Integrated Analysis and Forecasting, U.S. Department of Energy, 2010. Available at <http://www.eia.gov/oiaf/aeo/aeoref_tab.html>
Valdez-Dapena, Peter. "All that hype won't sell electric cars." CNN Money. October 27, 2010. Accessed online Jan 11, 2011. <http://money.cnn.com/2010/10/27/autos/jdpa_hybrid_electric_study/index.htm>
Wachs, M. "Men, women, and wheels: The historical basis of sex differences in travel patterns." Transportation Research Record, Vol. 1135, 1987 (pgs 10-16). And Wachs, M. "Men, women, and urban travel: The persistence of separate spheres." In M. Wachs & M. Crawford (Eds.), The car and the city: The automobile, the built environment, and daily urban life. Ann Arbor, MI: University of Michigan Press, 1991.Wald, Matthew, "U.S. Drops Research Into Fuel Cells for Cars," New York Times, May 7, 2009.
Wald, Matthew, "U.S. Drops Research Into Fuel Cells for Cars," New York Times, May 7, 2009. <www.nytimes.com/2009/05/08/science/earth/08energy.html, retrieved 9 May 2009>
Walls, Margaret and Elena Safiro. "A review of the literature on telecommuting and its implication for vehicle travel and emissions." Resources for the Future. Discussion Paper 04-44. December 2004.
Wilson R, Krizek K, and S. Handy. "Trends in Out-of-Home and At-Home Activities: Evidence from Repeat Cross-Sectional Surveys" Transportation Research Record: Journal of the Transportation Research Board. Vol. 2014, 2007 (pgs 76-84).
Worchester Polytechnic Institute. "Geolocation, Next Phase of the Social Media Revolution, Focus of June 14 Workshop at WPI." June 8, 2010. Accessed online Jan. 6, 2011. <http://www.wpi.edu/news/20090/wireless2010.html>
Wronski, Richard. "RTA looks into potential of riders using cell phones instead of tickets or transit cards". May 2009. <http://articles.chicagotribune.com/2009-05-26/news/0905250222_1_cell-phones-debit-cards-fare>
Yamashita, Tomohisa, Kiyoshi Izumi and Koichi Kurumatani. "Analysis of the Effect of Route Information Sharing on Reduction of Traffic Congestion." In Application of Agent Technology in Traffic and Transportation. Whitestein Series in Software Agent Technologies and Autonomic Computing, 2005.
Yannan, Tuo. "GPS-enabled phones the next ‘must have'"China Daily. Jan. 14, 2011. Accessed online Jan 17, 2011 <http://www.chinadaily.com.cn/business/2011-01/14/content_11855043.htm>
Young, Peg. "Upward Trend in Vehicle-Miles Resumed During 2009." Transportation Trends in Focus. Department of Transportation. April 2010.
1 The Pew Research Center, Millennials: A Portrait of Generation Next, February 2010, Preface
2 The National Surface Transportation Policy and Revenue Study Commission, Commission Briefing Paper 4A-06, Implications of Rising Household Income on Passenger Travel Demand, 2007, Figure 1, pg. 2
3A Heavy Load: The Combined Housing and Transportation Burdens of Working Families, Center for Neighborhood Technology, October 2006, Figures derived from 2002 Consumer Expenditure Survey
4 Time Magazine. June 2011
5 Fairfield, Hannah. "Driving Shifts Into Reverse." The New York Times. New York Edition page BU7. May 2, 2010.
6 Pisarski, Alan, Commuting in America III: The Third National Report on Commuting Patterns and Trends, Transportation Research Board, 2006, pg. 19
7 CMAQ brochure, www.fhwa.dot.gov/environment/air_quality/cmaq/.../cmaqbroc.pdf
8A Society for Human Resource Management/National Journal Congressional Poll, June 2010
9 2009 NHTS
10 18th Edison Research/Arbitron Internet and Multimedia Study (2010)
11 Generations and their gadgets, Pew Center's Internet and America Life Project, February 2011, http://pewinternet.org/Reports/2011/Generations-and-gadgets.aspx
12 State Departments of Transportation Lead the Way Using New Media, AASHTO Communications Brief, February 2010
13 Millennials will make online sharing in networks a lifelong habit, Pew Internet and American Life Project, The Pew Center, July 2010
14 Neff, Jack, Is Digital Revolution Driving Decline in U.S. Car Culture? Advertising Age, May 2010
15 TeleAtlas survey, 2008 (company bought by TomTom)
16 Our Nation's Travel: Current Issues, FHWA Publication No. PL-05-015, 2001
18 The Pew Research Center, Millennials: A Portrait of Generation Next, February 2010, Preface
19 Glenn, Norval, Cohort Analysis, Sage Publications, 1977
21 This type of analysis has been done by Meyers at the University of Southern California using data from the decennial census. See http://www-bcf.usc.edu/~dowell/index.htm for examples of this type of analysis.
22 2002 Consumer Expenditure Survey
FHWA Home | Feedback