How often Americans exercise, especially through walking, is strongly connected to the built environments in which they live.1 Numerous studies over two decades report residents walking more when their communities are judged more walkable, either by objective measures or through residents’ own perceptions. 2,3 However, the majority of these studies have focused on urban areas.2,3 Researchers who wish to investigate the connection between walking and walkability in rural settings can use validated surveys to record subjective perceptions, but a popular objective measure, the Walk Score, appears not to be useful at all.
The importance of researching physical activity in rural environments is clear. Rural residents are disproportionately affected by chronic diseases and conditions including obesity, which are strongly associated with inactivity.4 Rural residents are less physically active than urban dwellers and walk less often.5 Despite the assumption that rural communities have easy access to open spaces and trails, research shows this not to be true.6
Walk Score is a commonly used measure of objectively assessing walkability in communities. It is a public, free, web-based tool that is available through most of the world.7 A search in PubMed with the search terms “walkscore” and “walk score” revealed 191 papers that had used the tool, with 160 of these occurring since 2015. While many of these studies are conducted in high density urban areas, others are done nationally.8
Walk Score measures walkability using a patented system that is not entirely transparent.7 A street address receives a score based on walking routes to nearby amenities, which include grocery stores, shopping destinations, restaurants, schools, parks, movie theaters, pharmacies, libraries, etc. Shorter routes receive more points than longer ones: a 5-minute walk gets maximum points and a 30-minute walk or greater gets no points. Population density, block length and intersection density also count towards the score.
The drawback of using this methodology in rural settings is that it fails to account for walking without a destination to an amenity. A rural address located more than a 30-minute walk from amenities, for example, may receive a Walk Score of zero, despite being located on a road with low traffic volume and wide sidewalks - characteristics that contribute to ideal walking conditions. This disparity of amenities shows up in a study that found rural residents reported low numbers of destinations within walking distance, such as shopping (19.2%), transit stops (4.6%), or movies, libraries, and churches (17.7%). Relaxing destinations (e.g. parks, water, other green spaces), however, were reported more often.9 One study in rural communities in the southeastern United States found walking trips were frequently to neighbors’ homes and bodies of water rather than typical destinations.10 In Spain, a study found intersections and population density predicted walking to school in urban environments, but it was regulated crossings, positive streetscapes and crossing quality that predicted the same in rural communities.11
In our current study, we examined perceived walkability and walking behavior with 313 individuals across 18 rural communities in Oregon.12 We found no relationship between Walk Score and self-reported walking in the community. However, we did find significant positive relationships between perceived walkability, social norms for walking, and walking in the community.13
True walkability, or how easy or hard it is to walk in a community, is a multifactorial assessment measured both objectively and subjectively with only moderate concordance between the two.14 Objective measures of walkability have typically been developed in urban areas and focus on utilitarian aspects of walking (i.e. intersection density, land use mix, dwelling density and net retail area). Objective measures typically focus on either active transportation or recreation and have different salient factors.15 For example, a study of children found that walkability indexes were negatively correlated with walking for exercise in rural communities.16 In urban environments with numerous destinations, active transportation has been the main focus of research, but in rural communities, which often lack gyms and other exercise facilities, recreational walking is the more common mode. One national US study showed similar rates of leisure time walking between urban (52.9%) and rural (48.3%) residents but large differences in walking for transportation (34.5% vs. 21.1%).9 Traditional measures of walkability may be appropriate for compact downtown areas like town centers in micro-communities, but less appropriate for people living outside of metro and micro areas.17
Also, as big data becomes more readily available, large nation-wide epidemiological studies are becoming more prevalent without accounting for the nuances of rural communities. For instance, a Dutch study examined walkability by measuring population density, retail and service density, land use mix, street connectivity, green space, sidewalk density and public transport density across the entire country18– all factors found far less in rural settings.
Measuring rural walkability requires tools specifically designed for rural communities, and no reliable tool currently exists that functions simply by entering a physical address.19 The Rural Active Living Assessment (RALA) provides town-wide assessment of walkability, but is resource intensive and is not currently available at scale throughout the country. Another tool, the Inventories for Community Health Assessment in Rural Towns (iCHART), will be available to researchers as a smartphone-based application in 2025, but also relies on users to walk through a neighborhood to assess built environments.20 Further, a recent review of walkability instruments in general found that none provided an assessment of weather and other mitigating factors including thermal comfort, precipitation, and seasonal fluctuations.21
Work remains to be done in developing tools that reliably measure walkability in rural communities, on a large scale and that produce immediate results by entering physical addresses. Developing these tools should focus on including assessments of sidewalks, safe street crossings, presence of town centers, trails, parks and other greenspaces, rural-specific destinations including relaxing places, and other safety issues. In the meantime, we strongly recommend not using Walk Score in rural settings.
Funding source:
National Institutes of Health, National Institute of Nursing Research
Footnotes
Disclosures: Rebecca Seguin-Fowler is owner of StrongWomen/StrongPeople LLC and is also Principal Investigator of the iCHART research and tool.
Citations
- 1.Moudon AV, Huang R, Stewart OT, et al. Probabilistic walking models using built environment and sociodemographic predictors. Popul Health Metr. 2019;17(1):7. Published 2019 Jun 3. doi: 10.1186/s12963-019-0186-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Cerin E, Nathan A, van Cauwenberg J, Barnett DW, Barnett A; Council on Environment and Physical Activity (CEPA) – Older Adults working group. The neighbourhood physical environment and active travel in older adults: a systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2017;14(1):15. Published 2017 Feb 6. doi: 10.1186/s12966-017-0471-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Hilland TA, Bourke M, Wiesner G, et al. Correlates of walking among disadvantaged groups: A systematic review. Health Place. 2020;63:102337. doi: 10.1016/j.healthplace.2020.102337 [DOI] [PubMed] [Google Scholar]
- 4.Matthews KA, Croft JB, Liu Y, et al. Health-Related Behaviors by Urban-Rural County Classification - United States, 2013. MMWR Surveill Summ. 2017;66(5):1–8. Published 2017 Feb 3. doi: 10.15585/mmwr.ss6605a1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Maddock JE, Seguin-Fowler RA, Shrestha A, Ferdinand AO. Physical Activity. Chapter 4. In: Ferdinand AO, Bolin JN, Callaghan T, Rochford HI, Lockman A, Johnson NY, eds. Rural Healthy People 2030. College Station, TX: Texas A&M University School of Public Health, Southwest Rural Health Research Center; 2023. [Google Scholar]
- 6.Yousefian A, Ziller E, Swartz J, Hartley D. Active living for rural youth: addressing physical inactivity in rural communities. J Public Health Manag Pract. 2009;15(3):223–231. doi: 10.1097/PHH.0b013e3181a11822. [DOI] [PubMed] [Google Scholar]
- 7.Walkscore. Walk Score Methodology. Accessed at https://www.walkscore.com/methodology.shtml on September 19, 2024. [Google Scholar]
- 8.Twardzik E, Judd S, Bennett A, et al. Walk Score and objectively measured physical activity within a national cohort. J Epidemiol Community Health. 2019;73(6):549–556. doi: 10.1136/jech-2017-210245 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Whitfield GP, Carlson SA, Ussery EN, Watson KB, Berrigan D, Fulton JE. National-level environmental perceptions and walking among urban and rural residents: Informing surveillance of walkability. Prev Med. 2019;123:101–108. doi: 10.1016/j.ypmed.2019.03.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Kegler MC, Alcantara I, Haardörfer R, Gemma A, Ballard D, Gazmararian J. Rural Neighborhood Walkability: Implications for Assessment. J Phys Act Health. 2015;12 Suppl 1:S40–S45. Published 2015 Jun 16. doi: 10.1123/jpah.2013-0431 [DOI] [PubMed] [Google Scholar]
- 11.Molina-García J, Campos S, García-Massó X, et al. Different neighborhood walkability indexes for active commuting to school are necessary for urban and rural children and adolescents. Int J Behav Nutr Phys Act. 2020;17(1):124. Published 2020 Sep 29. doi: 10.1186/s12966-020-01028-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Perry CK, Seguin-Fowler R, Maddock JE, et al. Rural libraries implementing walking groups or walking groups plus civic engagement for walkability in rural communities: a comparative effectiveness trial study protocol. BMC Public Health. 2023;23(1):1895. Published 2023 Oct 2. doi: 10.1186/s12889-023-16788-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Perry CK, Seguin-Fowler R, Maddock JE, et al. Rural library walking study. Unpublished data. [Google Scholar]
- 14.Gebel K, Bauman A, Owen N. Correlates of non-concordance between perceived and objective measures of walkability. Ann Behav Med. 2009;37(2):228–238. doi: 10.1007/s12160-009-9098-3 [DOI] [PubMed] [Google Scholar]
- 15.Sallis JF, Cervero RB, Ascher W, Henderson KA, Kraft MK, Kerr J. An ecological approach to creating active living communities. Annu Rev Public Health. 2006;27:297–322. doi: 10.1146/annurev.publhealth.27.021405.102100 [DOI] [PubMed] [Google Scholar]
- 16.Bucko AG, Porter DE, Saunders R, Shirley L, Dowda M, Pate RR. Walkability indices and children’s walking behavior in rural vs. urban areas. Health Place. 2021;72:102707. doi: 10.1016/j.healthplace.2021.102707 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Kegler MC, Gauthreaux N, Hermstad A, et al. Inequities in Physical Activity Environments and Leisure-Time Physical Activity in Rural Communities. Prev Chronic Dis. 2022;19:E40. Published 2022 Jul 7. doi: 10.5888/pcd19.210417 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Lam TM, Wang Z, Vaartjes I, et al. Development of an objectively measured walkability index for the Netherlands. Int J Behav Nutr Phys Act. 2022;19(1):50. Published 2022 May 2. doi: 10.1186/s12966-022-01270-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Umstattd Meyer MR, Moore JB, Abildso C, Edwards MB, Gamble A, Baskin ML. Rural Active Living: A Call to Action. J Public Health Manag Pract. 2016;22(5):E11–E20. doi: 10.1097/PHH.0000000000000333 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Seguin RA, Lo BK, Sriram U, Connor LM, Totta A. Development and testing of a community audit tool to assess rural built environments: Inventories for Community Health Assessment in Rural Towns. Prev Med Rep. 2017. Jun 24;7:169–175. doi: 10.1016/j.pmedr.2017.06.008. PMID: 28702314; PMCID: PMC5496211. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Drapeau HF, Singh P, Benyaminov F, et al. Meteorological gaps in audits of pedestrian environments: a scoping review. BMC Public Health. 2024;24(1):2010. Published 2024 Jul 27. doi: 10.1186/s12889-024-19441-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
