Socioeconomics of urban travel in the U.S.: Evidence from the 2017 NHTS

Wang, Xize; Renne, John L.

doi:10.1016/j.trd.2023.103622

Cited by 12 publications

(6 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The latter survey sampled only 7,893 households, and so the data is unlikely to contain enough night and evening shift workers to make rigorous multivariate modelling possible. I am not the only researcher to continue to use the 2017 dataset in recent years (S. H. Kim et al, 2023;Tian et al, 2023;X. Wang & Renne, 2023).…”

Section: Limitationsmentioning

confidence: 99%

The impact of night and evening shift work on social exclusion, family travel, and mobilities of care

Palm

2024

Preprint

View full text Add to dashboard Cite

Night and evening shift workers play critical roles in the modern economy, yet the mobility implications of working at these times is understudied. Shift workers’ schedules are mis-aligned with the schedules of their families and most of society, complicating their contribution to household-serving travel and their participation in social activities. This study models the effects of working nights and evenings on household-serving and social trips, including social trips with other householders. I apply binary logistic and Poisson regression with block bootstrapping to a large household travel survey to test for effects. Night and evening shift workers are less likely to make a trip for recreation, visiting others, or eating out, on days that they work. People working evening shifts are also less likely to make a trip for community or religious purposes. Evening shift workers are also less likely to conduct household-serving trips on days that they work, and this effect is amplified for women with regards to errands and shopping. When people work impacts what activities they can participate in and whether they participate in some social activities with other householders. These impacts hold negative implications for the mental health and wellbeing of shift workers.

show abstract

Section: Limitationsmentioning

confidence: 99%

The impact of night and evening shift work on social exclusion, family travel, and mobilities of care

Palm

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…It is important to recognize the limitations of the NHTS data as they underrepresent some racial and ethnic groups, particularly Black and Latino households [44]. This matters because non-Hispanic Whites have a greater share of automobile trips than other racial and ethnic groups and a lower share of non-automobile trips such as transit, biking or walking [45]. Our focus here is on household vehicle travel behavior and the research method used matches households across a wide range of characteristics, so potential impacts are minimized.…”

Section: Data and Variable Selectionmentioning

confidence: 99%

Battery Electric Vehicles: Travel Characteristics of Early Adopters

Feng,

Saphores,

Nixon

et al. 2024

Sustainability

View full text Add to dashboard Cite

Do U.S. households with battery electric vehicles (BEVs) drive less or more than U.S. households with internal combustion engine vehicles (ICEVs)? Answering this question is important to policymakers and transportation planners concerned with reducing vehicle miles traveled and the emissions of greenhouse gases from transportation. So far, this question has not been answered satisfactorily, possibly because of the relatively low number of EVs in the U.S. until recently, but also because of methodological issues. In this paper, we aim to fill this gap by analyzing data from the 2017 National Household Travel Survey (NHTS). We apply propensity score matching (PSM), a quasi-experimental method, to examine the differences in self-reported annual mileage and calculated daily mileage for various trip purposes among households with only BEVs (BEV-only), households with both BEVs and ICEVs (BEV+), and households without BEVs (non-BEV households). Our findings indicate that households with BEVs drive fewer annual miles than non-BEV households, but typically travel no less than they do for daily activities. This apparent discrepancy is likely due to taking fewer longer trips because the public charging infrastructure was still in its infancy in 2017, and its reliability was questionable. As technological progress is helping to overcome current battery limitations, policymakers may consider measures for fostering fast charging technologies while pondering new measures to fund both the charging infrastructure and the road network.

show abstract

“…Travel behavior encompasses various factors, such as trip length, car ownership, mode choice, trip frequency, and vehicle miles traveled (Wang & Renne, 2023). According to Nugmanova et al (2019), an increase in car ownership leads to an expansion of road capacity in congested areas, known as "induced travel."…”

Section: Development Of Research Hypotheses and Research Modelmentioning

confidence: 99%

The Nexus between Residential Density, Travel Behavior and Traffic Congestion in Developing Metropolitans: A Case Study of Harare, Zimbabwe

Kanyepe

2023

JCUA

View full text Add to dashboard Cite

There is a noticeable dearth of empirical studies on the mediating role of travel behaviour on the influence of residential density on traffic congestion in developing countries, particularly in Zimbabwe. To address this gap, this study examined the effect of residential density on traffic congestion and delved into the potential mediating role of travel behaviour in this relationship. This study used data from a sample of 384 households in the Harare metropolitan province of Zimbabwe. Structural equation modelling was used to test the research hypotheses. The findings indicate that residential density and travel behaviour have a positive effect on traffic congestion. The results also established that travel behaviour partially mediates the relationship between residential density and traffic congestion. This study adds to the existing body of knowledge by providing an array of indicators that can inform policymakers in transportation and urban planning to alleviate traffic congestion.

show abstract

Socioeconomics of urban travel in the U.S.: Evidence from the 2017 NHTS

Cited by 12 publications

References 53 publications

The impact of night and evening shift work on social exclusion, family travel, and mobilities of care

The impact of night and evening shift work on social exclusion, family travel, and mobilities of care

Battery Electric Vehicles: Travel Characteristics of Early Adopters

The Nexus between Residential Density, Travel Behavior and Traffic Congestion in Developing Metropolitans: A Case Study of Harare, Zimbabwe

Contact Info

Product

Resources

About