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Rural Public Access and the Americans with Disabilities Act: Measuring Progress in Hamilton, MontanaRural Disability and Rehabilitation Research Progress Report #41Research and Training Center on Disability in Rural Communities The University of Montana Rural InstituteJuly, 2008 |
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The Americans with Disabilities Act (ADA) of 1990 is arguably the most significant single effort to enhance community participation of people with disabilities (Brown, 2001), in part by promoting physical access to public places and commercial facilities. Specifically, ADA Titles II and III provide disability advocates with legal tools for promoting access to public places. Despite the significance of the ADA legislation, Batavia (1992) points out that the ADA was “passed without documentation of need” and that “no baseline data exist to assess the implementation of the ADA.” Historically, advocates have monitored the implementation and outcomes of the ADA by using a legal model to track numbers of complaints filed, by whom, reasons for complaints, and how complaints were resolved. This incident-based approach doesn’t systematically evaluate ADA compliance across communities, however. Without a meaningful tool to provide baseline data, we can’t really measure progress in achieving access goals – just changes in complaints. Many small, rural communities have aging infrastructures, and few have advocacy groups dedicated to implementing the ADA (Innes, et al., 2000). Currently available assessment tools and guidelines don’t ask the questions or offer the solutions rural communities need to make progress. One way to collect data is to observe the accessibility of places and track how they change over time. While researchers can’t observe all places, they can use statistical sampling to describe a population based on a smaller number of observations. This report describes RTC: Rural’s pilot phase of a project to develop a way to sample and measure accessibility across rural communities. MethodThis study looked at places of public commerce “operated by a private entity, whose operations affects commerce.” These include retail businesses, location-based consumer services (e.g. salons, physical therapy clinics), entertainment facilities (e.g. theaters, bars, restaurants), and financial institutions (e.g. banks, check cashing businesses). We chose Hamilton, Montana for the pilot study because of its size (population: 4,059) and convenient location in the Bitterroot Valley on U.S. Highway 93. It is the county seat of Ravalli County. RTC: Rural researchers used a business classification coding system to identify Hamilton businesses that do substantial business with the public (e.g. retail businesses). We provided this list of business codes to a national business directory publisher, which then matched the codes to Hamilton businesses in its database and produced a list of businesses appropriate for our study. We excluded locations not covered by the ADA (e.g. private homes or churches); government buildings covered by other legislation (e.g. federal buildings covered by Section 504 of the Rehab Act); locations with limited public access (e.g. schools, medical providers, professional service providers, manufacturers/wholesalers); and businesses not dependent on a specific location (e.g. lawn care services, plumbers). Based on preliminary power analyses, we randomly selected 42 of 266 businesses appropriate for observation. MeasuresThe Americans with Disabilities Act Accessibility Guidelines for Buildings and Facilities (ADAAG) are the standards for judging the accessibility of businesses. The ADAAG is comprehensive, but cumbersome. Its manual has 142 pages of building codes that require precise measurement, such as this example about doorways:
Although the ADAAG is the touchstone for assessing legal compliance with the ADA, it is not a practical tool for calculating a community accessibility score. The ADAAG uses yes/no compliance questions which aren’t intended for comparison across businesses. Applicable ADAAG codes vary widely from one business to the next. Our approach was to develop a scaled rating system for major access features that apply to a wide range of public businesses. We reviewed the ADAAG guidelines, and solicited input from a focus group of advocates and individuals with disabilities. We identified six major features of business accessibility and assigned a 4-point rating scale (from least accessible to most accessible) to each feature. Table 1 lists these major access features. Table 1: Access Features
The measure excluded some important access features that weren’t available at all businesses or were too difficult to assess. For example, we didn’t evaluate restroom accessibility because many small businesses don’t provide restrooms for customers. Restroom evaluation also might require a team of both male and female observers, and would significantly increase observation time. ProceduresWe used a standard protocol to observe the selected businesses: 1) identify each business’s main entrance; 2) locate parking spaces to be observed; 3) assess the route to each business’s entrance; 4) judge the accessibility of each business’s entry; and 5) evaluate the accessibility of each business’s interior public space. Results: Of 42 businesses selected, 13 could not be observed for the reasons listed in Table 2. Table 2. Reasons for not observing selected businesses
We averaged the scores for the six access features of the remaining 29 businesses to achieve a “snapshot” of community accessibility. Table 3 provides mean, median, standard deviations, and 95% confidence intervals for each accessibility feature. Table 3. Access Feature
The scores for each access feature were “benchmarked” by a detailed description of observable characteristics. For example, using the median scores, a score of 3 for Designated Parking Availability indicates that designated parking is available within one city block of the business. A score of 3 for Parking Accessibility indicates that the designated parking space includes a marked area at least five feet wide for a ramp to extend and a driver or passenger to use after exiting the vehicle. A score of 4 for Safe and Accessible Route to Entry indicates a clear, accessible, and safe route (e.g., a curb cut to a sidewalk with a firm and smooth surface to the business entry). A score of 4 for Accessible Entry to the Business indicates that the threshold is less than ½” high and/or there is an easily-negotiated ramp. A score of 3 for Door and Doorway Accessibility indicates the door has a levered handle and a medium pull weight. A score of 4 for Accessibility of Business Interior indicates that a person using a wheelchair, walker, or scooter can navigate more than 90% of the public area inside the business. Using a standard rating scale allowed us to calculate an overall score by simply adding the scores across categories. Aggregate scores ranged from 6 to 24 points. The average business in Hamilton, Montana, has a moderate degree of accessibility (overall score of 19 or average score of 3.17 for the access features). Unfortunately, average scores can hide some real problems. Four of the 29 businesses were inaccessible to a person using a mobility device because the routes to, or entries into, the businesses were impassable. Nine businesses had doors that required another person’s assistance to open (e.g. doors had heavy pull weights and/or round doorknobs, or doorways had limited room for maneuvering). Also, five businesses had no designated accessible parking available within two blocks or .1 mile. These are both private and city access problems. DiscussionFrom this pilot research we learned many lessons about the sampling frame and accessibility measure. We didn’t expect so many businesses in our selected sample to be outside the city limits, closed, relocated, or in personal residences. Future samples require a list of alternate businesses so we can observe enough locations to make reliable inferences about the community. In terms of the measure, we concluded that we needed more information about city versus private infrastructure in order to make meaningful accessibility recommendations. Specifically, routes to a business’s entry may include city infrastructure (i.e. sidewalks) and a business’s privately maintained infrastructure (i.e. a pea gravel path to the entry). A better measure would allow researchers to distinguish these features Conclusion and Next StepsBased on this pilot research, we have refined the sampling scheme and accessibility measure, developed and tested a training protocol for conducting observations, and identified a team of observers. We are currently conducting an accessibility assessment of small incorporated Montana towns. Analysis of these data should be available in Autumn, 2008. We hope to use access feature scores and aggregate scores to compare communities on overall accessibility, and to report on a baseline of accessibility in small towns in the state. ReferencesBatavia, A. (1992). Furthering the goals of the Americans with Disabilities Act through disability policy research. Retrieved August 21, 2002 from http://www.eric.ed.gov/ERICDocs/data/ericdocs2sql/content_storage_01/0000019b/80/15/4f/e7.pdf Brown, S. (2001). Methodological paradigms that shape disability research. In G. Albrecht, K. Seelman, & M. Bury (Eds.), Handbook of disability studies (pp. 145-170). Thousand Oaks, CA: Sage Publications. Innes, B., Enders, A., Seekins, T., Merritt, D., Kirshenbaum, A., & Arnold, N. (2000). Assessing the geographic distribution of centers for independent living across urban and rural areas: Toward a policy of universal access. Journal of Disability Policy Studies, 10, 2, 207-224. U.S. Architectural and Transportation Barriers Compliance Board (2002). Americans with Disabilities Act (ADA) Accessibility Guidelines for Buildings and Facilities (as amended through September 2002). Washington, DC: U.S. Department of Justice. ResourceFor additional information, contact: Tom Seekins, Ph.D., Director Suggested CitationSeekins, T. & Ipsen, C. (2008, July). The Americans with Disabilities Act and rural public access: Measuring progress in Hamilton, Montana. (Rural Disability and Rehabilitation Research Progress Report #41). Missoula: The University of Montana Rural Institute. AcknowledgementGrant #H133B030501from the National Institute on Disability and Rehabilitation Research, U.S. Department of Education supports our research. The opinions expressed reflect those of the authors and are not necessarily those of the funding agency. Catherine Ipsen and Tom Seekins prepared this report, © 2008. It is available in standard, large print, Braille, and text formats.
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