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Rehabilitation Dataset Directory: Dataset Profile
Dataset: Wheelchair Tiedown and Occupant Restraint System (WTORS) Activity in Paratransit Vehicles ()
| Basic Information | |
|---|---|
| Dataset Full Name | Wheelchair Tiedown and Occupant Restraint System (WTORS) Activity in Paratransit Vehicles |
| Dataset Acronym | |
| Summary | The purpose of this study was to characterize wheelchair tiedown and occupant restraint system (WTORS) usage on paratransit vehicles. A retrospective review of 476 on-board video monitoring recordings of trips by passengers seated in Wheeled Mobility Devices (WhMDs) was conducted. Data was collected from March through October, 2012. The study was conducted using two paratransit vehicles within one metropolitan area. Along with general information about the WhMDs and other equipment used by the passengers, details of the passengers' access and use of the vehicle were recorded. Details of WTORS usage including number of tiedowns and restraints used, attachment points to the WhMD and the vehicle floor, and any improper usage were recorded. Instability of the WhMD and incidents observed while the vehicle was in motion, along with contributing factors, were recorded and described. |
| Key Terms | Wheelchair, Wheelchair tiedown, Occupant restraint system (WTORS), Paratransit |
| Study Design | Cross-Sectional |
| Data Type(s) |
Survey |
| Sponsoring Agency/Entity | U.S. Department of Education Office of Special Education and Rehabilitative Services (OSERS) The National Institute on Disability and Rehabilitation Research (NIDRR) |
Health Conditions/Disability Measures |
| Health Condition(s) | Wheelchair users |
| Disability Measures | Special equipment use/assistive technology |
Measures/Outcomes of Interest |
| Topics | Wheelchair use, Accessibility, Transportation, Paratransit, Wheelchair restraint systems, Tiedowns, Shoulder belt, Lap belt, Public transit, Public transportation, Safety |
Sample |
| Sample Population | Passengers of two paratransit vehicles utilizing Wheeled Mobility Devices (powered wheelchairs, manual wheelchairs and scooters) |
| Sample Size/Notes | 476 paratransit trips |
| Unit of Observation | Paratransit trip |
| Continent(s) | North America |
| Countries | United States |
| Geographic Coverage | NA |
| Geographic Specificity | NA |
Data Collection |
| Data Collection Mode | Observational data (coded video) |
| Years Collected | 2012 |
| Data Collection Frequency | 476 paratransit trips |
Strengths and Limitations |
| Strengths | Includes detailed descriptions of each trip documented related to the use of wheelchair restraint system on two Paratransport vehicles. Documents instances of use/misuse and issues with the wheelchair tiedowns and restraint system (lap and shoulder belts). Provides information on wheelchair type and configuration. ADDEP provides online analysis capability for this dataset. |
| Limitations | Data was collected from only two vehicles in one urban location from a single transit agency. Data may not be representative. |
Data Details |
| Primary Website | |
| Data Access |
https://www.icpsr.umich.edu/web/ADDEP/studies/36970/datadocumentation# |
| Data Access Requirements | Public use |
| Summary Tables/Reports | https://www.icpsr.umich.edu/web/ADDEP/studies/36970/variables Note: online analysis on ADDEP site is available |
| Data Components | NA |
| Similar/Related Dataset(s) | Wheelchair focused datasets: |
Selected Papers |
| Other Papers | Wheelchair tiedown and occupant restraint practices in paratransit vehicles https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0186829 |
| Technical | Codebook: https://www.icpsr.umich.edu/web/ADDEP/studies/36970/datadocumentation |
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The Rehabilitation Research Cross-dataset Variable Catalog has been developed through the Center for Large Data Research & Data Sharing in Rehabilitation (CLDR). The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, Cornell University's Yang Tan Institute (YTI), and the University of Michigan. The CLDR is funded by NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering. (P2CHD065702).
Other CLDR supported resources and collaborative opportunities:
- Archive of Data on Disability to Enable Policy and research (ADDEP)
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Acknowledgements: This tool was developed through the efforts of William Erickson and Arun Karpur, and web designers Jason Criss and Jeff Trondsen at Cornell University. Many thanks to graduate students Kyoung Jo Oh and Yeong Joon Yoon who developed much of the content used in this tool.
For questions or comments please contact disabilitystatistics@cornell.edu