Access to reliable transportation is essential for rural communities, enabling residents to reach jobs, schools, health care, and other daily necessities. Recent U of M research projects have shed light on the unique transportation challenges of rural Minnesota and have explored innovative approaches to expanding shared transportation services and resources. But to best support and scale these efforts, planners need to understand the current travel patterns and accessibility needs of rural residents.
Traditional travel survey data has long been used for forecasting travel demand and evaluating accessibility. Although these surveys offer valuable insights, they often fail to adequately represent rural populations because it’s difficult to recruit respondents. Furthermore, the practical need to maintain reasonable response rates typically restricts the data collection period to a week or two. Recognizing these limits, a U of M research study leveraged the widespread use of mobile phones to address gaps in understanding rural mobility and access.
"Mobile phone data offers exciting potential for timely, large-scale, long-term mobility and accessibility insights," says Ying Song, an associate professor in the U of M’s Department of Geography, Environment & Society, CTS scholar, and the study lead. "However, we need to better understand how representative this data is before we can confidently use it in practice."
To achieve this goal, the research team developed context-aware data-mining techniques to identify key activity locations, such as home and work, along people’s daily routes. These inferred locations were then compared with established benchmarks from the US Census Bureau’s American Community Survey and the Longitudinal Employer-Household Dynamics program. Interestingly, mobile users in rural areas covered a higher percentage of total residents compared to those in urban and suburban areas. This finding suggests that mobile phone data provides strong geographic coverage in rural regions, offering a promising foundation for future mobility research despite common concerns about data gaps in these areas.
After analyzing the mobile phone data, the research team identified distinct mobility and accessibility patterns among rural residents, shaped by more varied and often less structured daily routines. Unlike urban users, fewer rural residents had fixed work locations during the typical 9 a.m. to 6 p.m. schedule. Instead, they engaged in more frequent but irregular work-related activities, suggesting they worked in more flexible, seasonal, or non-traditional employment. These findings highlight the need for flexible, on-demand transportation options tailored to the unique needs of rural communities. They also underscore the value of mobile phone data in supporting broader regional demand-forecasting efforts.
When it comes to mobility and accessibility, rural users typically travel farther from home to reach work and other activities than their urban and suburban counterparts. However, their average daily travel distance is shorter than that of suburban users. At the same time, rural residents tend to travel less often but over wider, more evenly spread areas, since there are fewer central locations for activities. These patterns point to the limits of relying solely on individual trip metrics. They also highlight the need to consider the unique land-use characteristics of rural areas when evaluating access to transportation and estimating mobility needs.
“Our study shows that mobile phone data is strongly representative of mobility and accessibility patterns among rural residents,” Song says. “These insights could help inform follow-up surveys in specific areas and support more responsive transportation planning.”
This project was supported by CTS seed funding. Awarded biennially, this funding aims to help CTS scholars develop expertise in emerging areas and foster strategic relationships that position them for future funding opportunities.
—Adapted from content contributed by Ying Song and Di Zhu
