This study evaluates the distribution of travel-limiting disabilities across genders and geographic locations in the United States. This study aims to describe and compare the socioeconomic and demographic variables of the people with and without travel-limiting disabilities across geographic locations and gender. The study further evaluates the trip purpose and impact of Covid-19 fourth wave pandemic on the use of public transit and travel to physical workplace for the people with and without travel-limiting disabilities across gender and geographic locations. The study uses the 2022 weighted National Household Travel Survey dataset and employs descriptive statistics. Results reaffirm the findings from previous literature that there are more people with travel-limiting disabilities in urban areas and among women. Over 50 percent of people aged 65 and above have a form of travel-limiting disabilities. The most trip for people with travel-limiting disabilities is made for shopping and medical purposes. Across all categories, rural areas, urban areas, male and female for the people without travel-limiting disabilities, COVID-19 fourth wave did not change the pattern of trips made to physical workplace as pre-COVID-19 era. This pattern is also observable for the people with travel-limiting disabilities in rural and urban areas. Females with travel-limiting disabilities reported making less trips to physical workplaces while male reported doing the same as before COVID-19 era. The study concludes that the quantification of travel-limiting disabilities across geographic location and gender is vital in disability study and could drive policy implementation for improved accessibility for the vulnerable population.
References
[1]
Giuliano, G. and Hanson, S. (2017) The Geography of Urban Transportation. Guilford Publications.
Alam, B., Brown, J. and Thompson, G. (2015) The Influence of Transit Accessibility to Jobs on the Employment Prospects of Welfare Recipients: The Case of Broward County, Florida.
[4]
Alam, B.M. (2009) Transit Accessibility to Jobs and Employment Prospects of Welfare Recipients without Cars. Transportation Research Record: Journal of the Transportation Research Board, 2110, 78-86. https://doi.org/10.3141/2110-10
[5]
Reichard, A., Stolzle, H. and Fox, M.H. (2011) Health Disparities among Adults with Physical Disabilities or Cognitive Limitations Compared to Individuals with No Disabilities in the United States. Disability and Health Journal, 4, 59-67. https://doi.org/10.1016/j.dhjo.2010.05.003
[6]
Disability and Health Promotion: Disability Impacts All of Us. https://www.cdc.gov/ncbddd/disabilityandhealth/infographic-disability-impacts-all.html
[7]
Verlenden, J.V., Zablotsky, B., Yeargin-Allsopp, M. and Peacock, G. (2022) Healthcare Access and Utilization for Young Adults with Disability: U.S., 2014-2018. Journal of Adolescent Health, 70, 241-248. https://doi.org/10.1016/j.jadohealth.2021.08.023
[8]
Theis, K.A., Steinweg, A., Helmick, C.G., Courtney-Long, E., Bolen, J.A. and Lee, R. (2019) Which One? What Kind? How Many? Types, Causes, and Prevalence of Disability among U.S. Adults. Disability and Health Journal, 12, 411-421. https://doi.org/10.1016/j.dhjo.2019.03.001
[9]
Cochran, A.L. (2020) Impacts of COVID-19 on Access to Transportation for People with Disabilities. Transportation Research Interdisciplinary Perspectives, 8, Article ID: 100263. https://doi.org/10.1016/j.trip.2020.100263
[10]
Groce, N.E. (2018) Global Disability: An Emerging Issue. The Lancet Global Health, 6, e724-e725. https://doi.org/10.1016/s2214-109x(18)30265-1
[11]
Casebolt, M.T. (2021) Availability and Quality of Global Disability Data: A Commentary on the Demographic and Health Surveys. Disability and Health Journal, 14, Article ID: 100972. https://doi.org/10.1016/j.dhjo.2020.100972
[12]
Fujiura, G.T., Park, H.J. and Rutkowski-Kmitta, V. (2005) Disability Statistics in the Developing World: A Reflection on the Meanings in Our Numbers. Journal of Applied Research in Intellectual Disabilities, 18, 295-304. https://doi.org/10.1111/j.1468-3148.2005.00268.x
[13]
Ysasi, N.A., Becton, A.B. and Chen, R.K. (2018) Stigmatizing Effects of Visible versus Invisible Disabilities.Journal of Disability Studies, 4, 22-29.
[14]
Courtney-Long, E.A., Carroll, D.D., Zhang, Q.C., Stevens, A.C., Griffin-Blake, S., Armour, B.S., et al. (2015) Prevalence of Disability and Disability Type among Adults—United States, 2013. MMWR. Morbidity and Mortality Weekly Report, 64, 777-782. https://doi.org/10.15585/mmwr.mm6429a2
[15]
Zandam, H. and Juni, M.H. (2019) Equity Analysis of Health System Accessibility from Perspective of People with Disability. International Journal of Health Governance, 24, 298-309. https://doi.org/10.1108/ijhg-11-2018-0067
[16]
Iezzoni, L.I., Kurtz, S.G. and Rao, S.R. (2014) Trends in U.S. Adult Chronic Disability Rates over Time. Disability and Health Journal, 7, 402-412. https://doi.org/10.1016/j.dhjo.2014.05.007
[17]
Centers for Disease Control and Prevention (CDC) (2009) Prevalence and Most Common Causes of Disability among Adults—United States, 2005. Morbidity & Mortality Weekly Report, 58, 421-426.
[18]
Brault, M. (2008) Disability Status and the Characteristics of People in Group Quarters: A Brief Analysis of Disability Prevalence among the Civilian Noninstitutionalized and Total Populations in the American Community Survey. US Census Bureau.
[19]
Pharr, J.R. and Bungum, T. (2012) Health Disparities Experienced by People with Disabilities in the United States: A Behavioral Risk Factor Surveillance System Study. Global Journal of Health Science, 4, 99-108. https://doi.org/10.5539/gjhs.v4n6p99
[20]
Deka, D. (2014) The Role of Household Members in Transporting Adults with Disabilities in the United States. Transportation Research Part A: Policy and Practice, 69, 45-57. https://doi.org/10.1016/j.tra.2014.08.010
[21]
Hwang, J., Li, W., Stough, L., Lee, C. and Turnbull, K. (2020) A Focus Group Study on the Potential of Autonomous Vehicles as a Viable Transportation Option: Perspectives from People with Disabilities and Public Transit Agencies. Transportation Research Part F: Traffic Psychology and Behaviour, 70, 260-274. https://doi.org/10.1016/j.trf.2020.03.007
[22]
Brynjolfsson, E., Horton, J.J., Ozimek, A., Rock, D., Sharma, G. and TuYe, H.Y. (2020) COVID-19 and Remote Work: An Early Look at US Data (No. w27344). National Bureau of Economic Research.
[23]
Ozimek, A. (2020) The Future of Remote Work. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3638597
