Do low-income households walk and cycle to reduce their transport costs? Insights from the 2017 U.S. National Household Travel Survey

Abstract

Low-income populations are disadvantaged in a car-dependent society despite car ownership and could be using walking and cycling to reduce their travel costs. This study explores how low-income households with and without cars living in various geographies disproportionately use walking and cycling to save money in comparison to higher-income households. Data from the 2017 National Household Travel Survey is used to investigate the variation in walking and cycling behavior among three groups of households: (1) carless low-income households, (2) low-income households with cars, and (3) higher-income households. Generalized ordered logistic regression models are estimated to examine how the probability of using active travel to save money varies by household type, location (urban, suburban, rural) and other socioeconomic attributes. We find that low-income households are more likely to walk or cycle to save money on transportation compared to higher-income households. Carless low-income households present a higher probability to use active travel to decrease travel costs in comparison to car-owning low-income households. Our results also indicate that on average, urban residents are more likely to travel actively to reduce expenses compared to suburban and rural residents. The lowest spatial variation is found for carless low-income households, demonstrating their higher disadvantage compared to those with cars. Low-income people of color are more likely to use active travel to save money while being a female, older, or having children are attributes associated with a lower probability to use active travel to reduce travel expenses in low-income households.

Keywords:

• Active travel
• generalized ordered logistic regression low-income households
• National Household Travel Survey
• transportation disadvantage
• travel cost

Authors’ contributions

Subid Ghimire: Conceptualization; Data curation; Formal analysis; Methodology; Visualization; Writing - original draft.

Eleni Bardaka: Conceptualization; Methodology; Funding acquisition; Project administration; Supervision; Writing - original draft; Writing - review & editing.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE). STRIDE is the 2016 USDOT Region 4 (Southeast) University Transportation Center housed at the University of Florida Transportation Institute.