Employment status and commute distance of Canadians with disabilities

Farber, Steven; Páez, Antonio

doi:10.1007/s11116-010-9268-y

Cited by 28 publications

(18 citation statements)

References 42 publications

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“…At the scale of the metropolitan region where we do not find major differences in the average one-way commute times between workers with and without disabilities, our findings are similar to those reported at national and state levels (Brucker and Rollins 2019; Deka and Lubin, 2012 ; Farber and Páez, 2010 ). What is unusual is that we find slight intraurban differences ( Table 1 ).…”

Section: Resultssupporting

confidence: 88%

“… Deka and Lubin (2012) compared commute time disparities between New Jersey residents with and without disabilities and found small differences, and Brucker and Rollins (2019) found differences that did not reach statistical significance for a representative sample of the entire U.S. population. In Canada, Farber and Páez (2010) found that disability type did not have a sizeable influence on commute distance.…”

Section: Resultsmentioning

confidence: 92%

“…The few studies that investigate the commute patterns of people with disabilities include Deka and Lubin (2012) and Brucker and Rollins (2019) , who found commute times to be similar between workers with and without disabilities in New Jersey and across the U.S., respectively. Another study by Farber and Páez (2010) examined adults with disabilities alone and they found public transit users to have longer commute distances to work compared to car users across Canada. While these studies controlled for multiple sociodemographic factors affecting commute times, none accounted for intraurban geographies, thus overlooking how local geographic contexts influence commute times.…”

Section: Introductionmentioning

confidence: 99%

“…While these studies controlled for multiple sociodemographic factors affecting commute times, none accounted for intraurban geographies, thus overlooking how local geographic contexts influence commute times. Brucker and Rollins (2019) included a dummy variable for metropolitan status while the other two studies did not consider geography in their statistical models ( Deka and Lubin, 2012 ; Farber and Páez, 2010 ). Geographic contexts, especially residential contexts, differ in the numbers, types, and locations of job opportunities; the availability of social and employment services; and transportation access and cost – all of which shape workers' commuting decisions and wage earnings.…”

Section: Introductionmentioning

confidence: 99%

“…For disabled individuals, reasons to avoid public transportation include physical inaccessibility and long commute times ( Wong, 2018b ). Since public transit users have considerably longer work commutes than car users ( Farber and Páez, 2010 ), public transit use is an important covariate to control for in statistical analyses of commute times.…”

Section: Introductionmentioning

confidence: 99%

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Disability, wages, and commuting in New York

Wong

McLafferty

Planey

et al. 2020

Journal of Transport Geography

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In the U.S., substantial employment and wage gaps persist between workers with and without disabilities. A lack of accessible transportation is often cited as a barrier to employment in higher wage jobs for people with disabilities, but little is known about the intraurban commuting patterns of employed people with disabilities in relation to their wage earnings. Our study compares wages and commute times between workers with and without disabilities in the New York metropolitan region and identifies the intraurban zones where residents experience higher inequities in wage earnings and commute times. We obtained our data from the Public Use Microdata Sample (PUMS) of the American Community Survey (ACS) for the 2008–2012 time period. We used linear mixed-effects models and generated separate models with log hourly wage or one-way commute time as the dependent variable. We find significant differences in wages and commute times between workers with and without disabilities at the scale of the metropolitan region as well as by intraurban zone. At the metropolitan scale, disabled workers earn 16.6% less and commute one minute longer on average than non-disabled workers. High commute and wage inequalities converge in the center, where workers with disabilities are more likely to use public transit, earn 17.1% less, and travel nearly four minutes longer on average than workers without disabilities. These results suggest that transport options are less accessible and slower for disabled workers than they are for non-disabled workers. Our findings indicate a need for more accessible and quicker forms of transportation in the center along with an increased availability of centrally located and affordable housing to reduce the disability gap in wages and commute times. We also find that workers with disabilities generally seek higher wages in exchange for longer commute times, but the results differ by race/ethnicity and gender. Compared to white men, minority workers earn much less, and white and Hispanic women have significantly shorter commute times. Our findings offer new geographic insights on how having a disability can influence wage earnings and commute times for workers in different intraurban zones in the New York metropolitan region.

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Section: Resultssupporting

confidence: 88%

Section: Resultsmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Disability, wages, and commuting in New York

Wong

McLafferty

Planey

et al. 2020

Journal of Transport Geography

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Participation and desire: leisure activities among Canadian adults with disabilities

Páez

Farber

2012

Transportation

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Well-being implications of immobility during COVID-19: evidence from a student sample in Bangladesh using the satisfaction with life scale

Jamal¹,

Páez²

2023

Transportation

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Immobility is known to impact health and well-being by reducing social contact, activity participation, and changing time use patterns. These unfortunate effects mostly affect specific demographic segments, including older adults, low income families, people who face disabilities, and those living in conflict zones. Emergency measures taken during the COVID-19 pandemic mandated or strongly recommended limitations to mobility, thereby causing this condition for segments of the public not usually characterized by high levels of immobility. In the context of the pandemic, reduced mobility was the non-pharmaceutical intervention of choice, and the evidence suggests that it helped to keep incidences of the disease from exploding. On the other hand, there is also a need to understand how mobility restrictions may have had incidental impacts, including to well-being, in population groups that have not been studied from this perspective before. In this spirit, the present paper uses the items of the Satisfaction with Life Scale to investigate how aspects of well-being changed during the pandemic, using a sample of 400 college and university students in Dhaka, Bangladesh. Analysis is based on multivariate ordered models and the results suggest that being less mobile, less active, and changes in activity time use due COVID-19 had an impact on the satisfaction with life of students. The detrimental effect was more marked for males and students from low-income households. Additionally, perceptions of residential characteristics and sense of belonging also correlate with satisfaction with life in the period under study.

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Employment status and commute distance of Canadians with disabilities

Abstract: Disabilities, Impairments, Employment status, Commute distance, 2006 Participation and Activity Limitation Survey, Canada,

Cited by 28 publications

References 42 publications

Disability, wages, and commuting in New York

Disability, wages, and commuting in New York

Participation and desire: leisure activities among Canadian adults with disabilities

Well-being implications of immobility during COVID-19: evidence from a student sample in Bangladesh using the satisfaction with life scale

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