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. 2021 Dec 23;156:24–35. doi: 10.1016/j.tra.2021.12.008

Table 3.

Regression models of trip frequency during COVID-19 by travel mode (n = 393)1, 2.

Overall Auto Public transit Para-transit2 Taxi (Uber/Lyft) Walk
(Intercept) −0.62 0.66* 0.38** 0.04 0.35** 0.03
Daily trip frequency (pre-COVID) 0.48** 0.69** 0.50** 0.63** 0.64** 0.73**
Disability (cognitive) −0.29* −0.41**
Disability (mobility) −0.64^ −0.40^ −0.43^
Disability (sensory) −0.24* −0.38^
Disability (others) −0.17 −0.20
Age (years) 0.03** −0.01^ 0.01*
Age: over 65 (yes/no) −0.90*
Female (yes/no) 0.21^
Household income: low (yes/no) 0.28^
Household size 0.15*
Number of children −0.11* −0.06
Driver status (yes/no) 0.41* −0.21^
Non-Hispanic White (yes/no) −0.26** −0.16*
Worker status (yes/no) 0.38 0.21
Student status (yes/no) 0.48 −0.42* 0.22^ 0.28^ −0.15
Bachelor’s degree or higher (yes/no) −0.29
Single-family housing (yes/no) 0.28^
Homeowner (yes/no) −0.15* −0.36*
Population density (1000 people/sq.mi.) 0.01
Urban area (yes/no) −0.26^
Model fit statistics
 - R-squared 0.36 0.55 0.47 0.59 0.54 0.54
 - Adjusted R-squared 0.34 0.54 0.47 0.57 0.53 0.53
 - AIC 561.55 228.53 −87.69 −133.04 −218.15 250.43
1

: **: p < .01, *: p < .05, ^: p < .1.

2

. The paratransit model was run only for respondents with disabilities (n = 161).