The Reach of Bicycling in Rural, Small, and Low-Density Places

2017 ◽  
Vol 2662 (1) ◽  
pp. 134-142 ◽  
Author(s):  
Carolyn McAndrews ◽  
Kenta Okuyama ◽  
Jill S. Litt
Keyword(s):  
Binary Logistic Regression ◽  
The United States ◽  
Population Characteristics ◽  
Low Density ◽  
Urban Experience ◽  
Household Travel Survey ◽  
Urban Rural ◽  
Household Travel ◽  
National Household Travel Survey ◽  
Urban Activity

Lessons derived from the urban experience of bicycling may not be broadly supportive of bicycling in rural, small, and low-density (RSLD) places because of differences in built environment, social, and political contexts. In this study, the hypothesis that bicycling was primarily an urban activity was investigated. Binary logistic regression was used to compare the frequency of bicycling and the population characteristics of bicyclists across urban and RSLD places. Multiple operational definitions of urban–rural continua were used to examine whether the results were sensitive to how RSLD places were defined. The data for bicycling were from the 2009 National Household Travel Survey, which was designed to represent the population of the United States. Bicycling was found to be primarily, but not exclusively, an urban activity. Moreover, women and youths were more likely to bicycle in RSLD places compared with urban places. These findings suggest that an urban perspective on bicycling could limit the success of initiatives aiming to increase the diversity of populations that bicycle. Developing a base of empirical knowledge of bicycling in RSLD places is a necessary step toward developing more inclusive and effective multimodal transportation strategies.

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 Ownership and Usage Analysis of Alternative Fuel Vehicles in the United States with the 2017 National Household Travel Survey Data

2019 ◽  
Vol 11 (8) ◽  
pp. 2262 ◽  
Author(s):  
Xuefang Li ◽  
Chenhui Liu ◽  
Jianmin Jia
Keyword(s):  
United States ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Alternative Fuel ◽  
The United States ◽  
Alternative Fuel Vehicles ◽  
Household Travel Survey ◽  
Household Travel ◽  
National Household Travel Survey ◽  
Daily Trip

By using the 2017 National Household Travel Survey (NHTS) data, this study explores the status quo of ownership and usage of conventional vehicles (CVs) and alternative fuel vehicles (AFVs), i.e., Hybrid Electric Vehicles (HEVs), Plug-in Hybrid Electric Vehicles (PHEVs) and Battery Electric Vehicles (BEVs), in the United States. The young ages of HEVs (6.0 years), PHEVs (3.2 years) and BEVs (3.1 years) demonstrate the significance of the 2017 NHTS data. The results show that after two decades of development, AFVs only occupy about 5% of annual vehicle sales, and their share does not show big increases in recent years. Meanwhile, although HEVs still dominate the AFV market, the share of PHEVs & BEVs has risen to nearly 50% in 2017. In terms of ownership, income still seems to be a major factor influencing AFV adoption, with the median annual household incomes of CVs, HEVs, PHEVs and BEVs being $75,000, $100,000, $150,000 and $200,000, respectively. Besides, AFV households are more likely to live in urban areas, especially large metropolitan areas. Additionally, for AFVs, the proportions of old drivers are much smaller than CVs, indicating this age group might still have concerns regarding adopting AFVs. In terms of travel patterns, the mean and 85th percentile daily trip distances of PHEVs and HEVs are significantly larger than CVs, followed by BEVs. BEVs might still be able to replace CVs for meeting most travel demands after a single charge, considering most observed daily trip distances are fewer than 93.5 km for CVs. However, the observed max daily trip distances of AFVs are still much smaller than CVs, implying increasing the endurance to meet extremely long-distance travel demands is pivotal for encouraging consumers to adopt AFVs instead of CVs in the future.

scholarly journals Shedding NHTS Light on the Use of ‘Little Vehicles’ in Urban Areas

2019 ◽  
Author(s):  
Kevin J. Krizek ◽  
Nancy McGuckin
Keyword(s):  
United States ◽  
Urban Areas ◽  
The United States ◽  
Urban Streets ◽  
Travel Survey ◽  
Household Travel Survey ◽  
Key Characteristics ◽  
Wide Range ◽  
Household Travel ◽  
National Household Travel Survey

Bicycles, scooters, Segways, skateboards, and more are placing new demands on urban streets in big cities. These modes, termed ”little vehicles” (LVs) here, share common characteristics. This research leverages the 2017 National Household Travel Survey to understand and benchmark key characteristics for current users and trip characteristics of LVs. Our findings show that young men are the predominant users of these modes for a wide range of purposes, including recreational and social activities, shopping and errands, and work travel. In the biggest metro areas in the United States, three-quarters of the trips by LVs are less than 4 km (2.5 mi), and half are shorter than 2 km (1.2 mi) (median)—a distance band that is often considered too far to walk, but shorter than most trips currently taken by car.

Low-Income Workers, Residential Location, and the Changing Commute in the United States

2019 ◽  
Vol 45 (4) ◽  
pp. 563-581
Author(s):  
Evelyn Blumenberg ◽  
Hannah King
Keyword(s):  
Low Income ◽  
Residential Location ◽  
The United States ◽  
Low Density ◽  
Strong Positive Relationship ◽  
Household Travel ◽  
National Household Travel Survey ◽  
The Relationship ◽  
Over Time ◽  
Commute Distance

Numerous reports suggest that rising rents in some U.S. metropolitan areas are pushing workers to live further from their workplaces over time and contributing to lengthening commutes. Drawing on data from the last three vintages of the U.S. National Household Travel Survey (2001, 2009, and 2017), we test whether the relationship between residential location and commute distance varies significantly between low-income and higher-income workers and has changed over time. The data show that commute distances have increased for both low- and higher-income workers with much of the increase occurring in lower density areas. Statistical models show a strong positive relationship between living in a low-density neighbourhood and commute distance for all workers. This relationship appears stronger for low-income than higher-income workers but the strength of the relationship has not increased over time. The findings suggest that the growth in commute distance among low-income workers is largely due to a shift in their residential location towards low-density neighbourhoods.

Sociodemographic Factors, Population Density, and Bicycling for Transportation in the United States

2016 ◽  
Vol 13 (1) ◽  
pp. 36-43 ◽  
Author(s):  
Eileen K. Nehme ◽  
Adriana Pérez ◽  
Nalini Ranjit ◽  
Benjamin C. Amick ◽  
Harold W. Kohl
Keyword(s):  
United States ◽  
Population Density ◽  
The United States ◽  
Sociodemographic Factors ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Household Travel Survey ◽  
Typical Day ◽  
Household Travel ◽  
National Household Travel Survey

Background:Transportation bicycling is a behavior with demonstrated health benefits. Population-representative studies of transportation bicycling in United States are lacking. This study examined associations between sociodemographic factors, population density, and transportation bicycling and described transportation bicyclists by trip purposes, using a US-representative sample.Methods:This cross-sectional study used 2009 National Household Travel Survey datasets. Associations among study variables were assessed using weighted multivariable logistic regression.Results:On a typical day in 2009, 1% of Americans older than 5 years of age reported a transportation bicycling trip. Transportation cycling was inversely associated with age and directly with being male, with being white, and with population density (≥ 10,000 vs < 500 people/square mile: odd ratio, 2.78, 95% confidence interval, 1.54–5.05). Those whose highest level of education was a high school diploma or some college were least likely to bicycle for transportation. Twenty-one percent of transportation bicyclists reported trips to work, whereas 67% reported trips to social or other activities.Conclusions:Transportation bicycling in the United States is associated with sociodemographic characteristics and population density. Bicycles are used for a variety of trip purposes, which has implications for transportation bicycling research based on commuter data and for developing interventions to promote this behavior.

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