Understanding the travel challenges and gaps for older adults during the COVID-19 outbreak: Insights from the New York City area
Tài liệu tham khảo
Batista, 2004, A study of the behavior of several methods for balancing machine learning training data, ACM SIGKDD Explorations Newsletter, 6, 20, 10.1145/1007730.1007735
Bo, 2021, Effectiveness of non-pharmaceutical interventions on COVID-19 transmission in 190 countries from 23 January to 13 April 2020, Int. J. Infect. Dis., 102, 247, 10.1016/j.ijid.2020.10.066
Branco, 2016, A survey of predictive modeling on imbalanced domains, ACM computing surveys (CSUR), 49, 1, 10.1145/2907070
Browne, 2020, Initial impact of the COVID-19 pandemic on physical activity and sedentary behavior in hypertensive older adults: An accelerometer-based analysis, Exp. Gerontol., 142, 111121, 10.1016/j.exger.2020.111121
Brumbaugh, 2018, Travel patterns of American adults with disabilities, Bur. Transp. Stat, 1
Bureau, U.S.C., 2020. 65 and Older Population Grows Rapidly as Baby Boomers Age.
U.S. Census Bueau, 2022. QuickFacts, New York city, New York.
U.S. Census Bureau, 2019. American Community Survey (Table S0101).
Cusack, 2021, Individual, social, and environmental factors associated with active transportation commuting during the COVID-19 pandemic, J. Transp. Health, 22, 101089, 10.1016/j.jth.2021.101089
Czeisler, 2020, Delay or avoidance of medical care because of COVID-19–related concerns—United States, June 2020, Morb. Mortal. Wkly Rep., 69, 1250, 10.15585/mmwr.mm6936a4
Dadashzadeh, 2022, Travel behaviour of vulnerable social groups: Pre, during, and post COVID-19 pandemic, Int. J. Environ. Res. Public Health, 19, 10065, 10.3390/ijerph191610065
DeGood, K., 2011. Aging in place, stuck without options: Fixing the mobility crisis threatening the baby boom generation.
Domanico, 2020
Edwards, 2008, Longitudinal predictors of driving cessation among older adults from the ACTIVE clinical trial, J. Gerontol. B Psychol. Sci. Soc. Sci., 63, P6, 10.1093/geronb/63.1.P6
Faria e Castro, 2021, The COVID retirement boom, Econ. Synopses, 25, 1
Geman, 1984, Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images, IEEE Trans. Pattern Anal. Mach. Intell., 6, 721, 10.1109/TPAMI.1984.4767596
Gimie, 2022, Epidemiology of public transportation use among older adults in the United States, J. Am. Geriatr. Soc., 10.1111/jgs.18055
Greer, S., Toprani, A., Hinterland, K., Dongchung, T.Y., Brahmbhatt, D., Miranda, T., Guan, Q.X., Kaye, K., Gould, L.H., 2019. Health of Older Adults in New York City.
Hülür, 2020, Rethinking social relationships in old age: Digitalization and the social lives of older adults, Am. Psychol., 75, 554, 10.1037/amp0000604
Lei, 2021, A robust analysis of the impacts of the stay-at-home policy on taxi and Citi Bike usage: a case study of Manhattan, Transp. Policy, 110, 487, 10.1016/j.tranpol.2021.07.003
Li, 2020, Older adults and the economic impact of the COVID-19 pandemic, J. Aging Soc. Policy, 32, 477, 10.1080/08959420.2020.1773191
MacLeod, 2014, The impact of health problems on driving status among older adults, J. Transp. Health, 1, 86, 10.1016/j.jth.2014.03.001
Masotti, 2006, Healthy naturally occurring retirement communities: A low-cost approach to facilitating healthy aging, Am. J. Public Health, 96, 1164, 10.2105/AJPH.2005.068262
MTA, 2020. Day-By-Day Ridership Numbers.
Nigam, 2000, Text classification from labeled and unlabeled documents using EM, Mach. Learn., 39, 103, 10.1023/A:1007692713085
Park, 2021, 448
Parlapani, 2021, A review on the COVID-19-related psychological impact on older adults: vulnerable or not?, Aging Clin. Exp. Res., 33, 1729, 10.1007/s40520-021-01873-4
Pirhonen, 2020, “These devices have not been made for older people's needs”–Older adults' perceptions of digital technologies in Finland and Ireland, Technol. Soc., 62, 10.1016/j.techsoc.2020.101287
Pratt, 1959, Remarks on zeros and ties in the Wilcoxon signed rank procedures, J. Am. Stat. Assoc., 54, 655, 10.1080/01621459.1959.10501526
Pucher, 2010, Walking and cycling to health: a comparative analysis of city, state, and international data, Am. J. Public Health, 100, 1986, 10.2105/AJPH.2009.189324
Rehurek, 2011, Gensim–python framework for vector space modelling, NLP Centre, Faculty of Informatics, Masaryk University, Brno, Czech Republic, 3, 2
Roe, 2021, Reaction to a pandemic: Social distancing and driving among older adults during COVID-19, J. Appl. Gerontol., 40, 263, 10.1177/0733464820966516
Roter, 2000, The outpatient medical encounter and elderly patients, Clin. Geriatr. Med., 16, 95, 10.1016/S0749-0690(05)70011-2
Seifert, 2021, A double burden of exclusion? Digital and social exclusion of older adults in times of COVID-19, J. Gerontol.: Ser. B, 76, e99, 10.1093/geronb/gbaa098
Shaer, 2021, Evaluating the effects of the COVID-19 outbreak on the older adults’ travel mode choices, Transp. Policy, 112, 162, 10.1016/j.tranpol.2021.08.016
Shaer, 2021, The impacts of COVID-19 on older adults’ active transportation mode usage in Isfahan, Iran, J. Transp. Health, 23, 101244, 10.1016/j.jth.2021.101244
State of Nevada, 2022. Taxi Assistance Program (TAP).
Stringer, 2017
USDOT, 2022. Innovative Coordinated Access and Mobility Grants.
Vilar-Compte, 2017, Food insecurity measurement among older adults: Implications for policy and food security governance, Glob. Food Sec., 14, 87, 10.1016/j.gfs.2017.05.003
Visser, 2020, Self-reported impact of the COVID-19 pandemic on nutrition and physical activity behaviour in Dutch older adults living independently, Nutrients, 12, 3708, 10.3390/nu12123708
Walker, R., 2021. GSDMM: Short text clustering.
Wilcoxon, 1992
Yin, J., Wang, J., 2014. A dirichlet multinomial mixture model-based approach for short text clustering. In: Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 233-242.
Zuo, 2020