Modeling the desire to telecommute: The importance of attitudinal factors in behavioral models
Mokhtarian, Saloman, 1997, in Transportation Research Part A: Policy and Practice
doi:10.1016/S0965-8564(96)00010-9
Location |
San Diego |
Population |
General |
Sample size |
628 |
Factor analysis type |
exploratory factor analysis, Oblique rotation |
Stepwise regression |
yes |
Removal of insignificant variables |
yes |
Reviewed by |
LCM |
Abstract
This paper begins to operationalize a previously published conceptual model of the individual decision to telecommute. Using survey data from 628 employees of the City of San Diego, hypothesized drives to telecommute and constraints on/facilitators of telecommuting are measured. A binary logit model of the preference to telecommute from home is estimated, having a ϱ2 of 0.68. The explanatory variables include attitudinal and ...
Factors
Models
Dependent variable |
Telecommuting preference |
Model type |
binary logit |
Sample size |
626.0 |
R2 |
nan |
Adjusted R2 |
|
Pseudo R2
|
0.68 |
AIC |
nan |
BIC |
nan |
Log-likelihood at zero |
-433.91 |
Log-likelihood at constants |
nan |
Log-likelihood at convergence |
-137.06 |
Variable |
Coefficient |
p-value |
Constant |
0.83
|
0.081 |
Disability/parental leave |
0.39
|
0.044 |
Stress |
0.74
|
0.007 |
Personal benefits |
0.65
|
0.02 |
Commute stress |
0.61
|
0.01 |
Commute time |
0.018
|
0.022 |
Amount of telecommuting job allows |
0.83
|
0.0 |
Workplace interactions |
-0.4
|
0.044 |
Household distractions a concern |
-1.08
|
0.009 |
Commuting benefit |
-0.43
|
0.021 |