Rural mobility and mode choice: Evidence from the 2001 National Household Travel Survey

2005 ◽  
Vol 32 (2) ◽  
pp. 165-186 ◽  
Author(s):  
John Pucher ◽  
John L. Renne
Keyword(s):  
Mode Choice ◽  
Travel Survey ◽  
Household Travel Survey ◽  
Household Travel ◽  
National Household Travel Survey

scholarly journals Trends in Taxi Use and the Advent of Ridehailing, 1995–2017: Evidence from the US National Household Travel Survey

Urban Science ◽  
2018 ◽  
Vol 2 (3) ◽  
pp. 79 ◽  
Author(s):  
Matthew Conway ◽  
Deborah Salon ◽  
David King
Keyword(s):  
Negative Relationship ◽  
The United States ◽  
Vehicle Ownership ◽  
Large Cities ◽  
Travel Survey ◽  
Household Travel Survey ◽  
Starting Point ◽  
Household Travel ◽  
National Household Travel Survey ◽  
Vehicle Market

The advent of ridehailing services such as Uber and Lyft has expanded for-hire vehicle travel. We use data from the 2017 National Household Travel Survey (NHTS) to investigate the extent of this expansion in the United States. We report changes in the for-hire vehicle market since ridehailing services became available and statistically estimate the determinants of ridehailing use. From 2009–2017, the for-hire vehicle market share doubled. While for-hire vehicles still only account for 0.5% of all trips, the percent of all Americans who use ridehailing in any given month is nearly 10%. Within the for-hire vehicle market, this trend of growth has not been uniformly distributed across demographic groups or geographies; it has been greater in mid-sized and large cities, and among younger individuals and wealthier households. This suggests that understanding the equity implications of ridehailing is an important avenue for research. Multivariate analysis provides evidence that both transit and nonmotorized transport use are correlated with ridehailing use, that ridehailing has a negative relationship with vehicle ownership, and that residents of denser areas have higher ridehailing use. Given the rapid growth of ridehailing, it has become important for cities to include for-hire vehicles in their planning going forward. These NHTS data provide a starting point, but more detailed and frequent data collection is needed to fully understand this many-faceted, rapidly-changing market.

scholarly journals The Role of Destination’s Built Environment on Nonmotorized Travel Behavior: A Case of Long Beach, California

2017 ◽  
Vol 38 (2) ◽  
pp. 152-166 ◽  
Author(s):  
Dohyung Kim ◽  
Jiyoung Park ◽  
Andy Hong
Keyword(s):  
Built Environment ◽  
Travel Behavior ◽  
Mode Choice ◽  
Long Beach ◽  
Environment Factors ◽  
Household Travel Survey ◽  
Future Policy ◽  
Household Travel ◽  
National Household Travel Survey

This study examines how built environment factors at trip destinations influence nonmotorized travel behavior in the City of Long Beach, California. Using 2008–2009 National Household Travel Survey with California Add-Ons, we found that nonmotorized users tend to choose more clustered destinations than motorized users, and that density, diversity, and design at destinations significantly affect mode choice decisions. Transportation networks and nonmotorized facilities at trip destinations are especially important factors for nonmotorized mode choice. Future policy and research need to consider built environment factors at trip destinations to effectively accommodate nonmotorized travel within a city.

How the Daily Smartphone is Associated With Daily Travel, Physical Activity, and Self-Perceived Health: Evidence From 2017 National Household Travel Survey

2020 ◽  
Vol 28 (5) ◽  
pp. 740-748
Author(s):  
Yong Yang ◽  
Sheng Li ◽  
Kai Zhang ◽  
Xiaoling Xiang ◽  
Zhigang Li ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Vigorous Physical Activity ◽  
Middle Aged ◽  
Travel Survey ◽  
Household Travel Survey ◽  
Smartphone Use ◽  
Mean Differences ◽  
Household Travel ◽  
National Household Travel Survey

Knowledge of how smartphone use in daily life, rather than in the context of intervention, may influence people’s behaviors and health is limited and mixed. The 2017 National Household Travel Survey (NHTS) data were used to examine the associations between daily smartphone use and several outcomes, including engaging in vigorous physical activity, self-perceived being healthy, and the adjusted mean differences for total trips and active travels among older adults (≥65 years) as well as among young and middle-aged groups (18–64 years), respectively. The prevalence of daily smartphone use declined with increasing age. Daily smartphone use was associated with increased total trips and active travel, a higher likelihood of engaging in vigorous physical activity, and in self-perceived being healthy status. The associations were stronger among older adults than young and middle-aged adults. More studies are needed to address the complex pathways among daily smartphone use and other outcomes. Daily smartphone use has the potential to address the unmet daily needs of older adults and bridge health disparities for this disadvantaged group.

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