Bridging the Gap: Understanding Rural Commuting Patterns and Transportation Choices

TL;DR

This study analyzes rural commuting patterns using survey data, revealing high dependence on personal vehicles and how socio-demographics influence transportation choices, informing future rural transportation planning.

Contribution

It applies multinomial logistic regression to identify factors affecting rural transportation mode choices, offering new insights into rural mobility behaviors.

Findings

92.1% reliance on personal vehicles in rural areas

Socio-demographics influence public transit usage

Longer trips decrease active transportation modes

Abstract

Transportation provides access to employment opportunities and essential services such as healthcare services; while urban areas have various transportation options, the situation differs in rural areas. Rural residents often have longer commute distances, limited access to public transit, and extended waiting times for public transportation if they exist, which can significantly impact their access to vital services and job opportunities. This study used data from the 2017 NHTS survey to examine the commuting patterns in rural areas by utilizing multinomial logistic regression to determine how various factors impact the choice of mode of transport in rural areas. Findings from this study revealed a higher dependency, 92.1%, on using personal vehicles when making trips in rural areas. Multinomial logistic regression results showed that socio-demographics, household, and trip characteristics affect the mode of transport used in a trip. Older adults, females, and individuals with higher education levels than high school graduates are less likely to use public transit when making trips. For household characteristics, the availability of vehicles in a household and households with higher income levels have lower probabilities of making a trip using public transit. Longer trip distances reduce the likelihood of a trip using active commuting modes such as walking and biking. These findings provide insights into understanding the transportation behaviors in rural areas and provide knowledge to be used in the planning and developing transportation projects that promote equitable and accessible transportation in rural areas