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From: Mapping travel behavior changes during the COVID-19 lock-down: a socioeconomic analysis in Greece
Variables | Typical Period | Lockdown period | ||||||
---|---|---|---|---|---|---|---|---|
Unstandardized Coefficients | Sig. | Unstandardized Coefficients | Sig. | |||||
Î’ | exp(B) | Std. Error | Î’ | exp(B) | Std. Error | |||
Population Cluster: Over 100,000 citizens | ||||||||
Gender: | ||||||||
 Male | – | – | – | – | 0.265 | 1.303 | 0.0615 | 0.000a |
Age Groups: | ||||||||
 26–40 | 0.170 | 1.186 | 0.0700 | 0.015a | 0.422 | 1.525 | 0.1174 | 0.000a |
 41–64 | 0.288 | 1.334 | 0.0693 | 0.000a | 0.541 | 1.718 | 0.1164 | 0.000a |
  > 65 | 0.193 | 1.213 | 0.1063 | 0.070 | 0.475 | 1.608 | 0.1739 | 0.006a |
Monthly Average: | ||||||||
 1000-2000€ | – | – | – | – | – | – | – | – |
  > 2000€ | – | – | – | – | – | – | – | – |
Intercept: | 2.354 | 10.529 | 0.0635 | 0.000a | 1.260 | 3.525 | 0.1109 | 0.000a |
 | Model Summary-Goodness of Fit Metrics | |||||||
Omnibus Test | 0.000 | Omnibus Test | 0.000 | |||||
AIC | 3340.718 | AIC | 2961.605 | |||||
BIC | 3362.120 | BIC | 2987.287 | |||||
Population Cluster: Below 100,000 citizens | ||||||||
Gender: | ||||||||
 Male | – | – | – | – | 0.318 | 1.375 | 0.056 | 0.000a |
Age Groups: | ||||||||
 26–40 | 0.355 | 1.426 | 0.0544 | 0.000a | 0.522 | 1.685 | 0.1006 | 0.000a |
 41–64 | 0.326 | 1.385 | 0.0525 | 0.000a | 0.575 | 1.777 | 0.0995 | 0.000a |
  > 65 | 0.140 | 1.150 | 0.1154 | 0.226 | 0.564 | 1.758 | 0.1907 | 0.003a |
Monthly Average: | ||||||||
 1000-2000€ | – | – | – | – | − 0.154 | 0.814 | 0.0649 | 0.007a |
  > 2000€ | – | – | – | – | − 0.205 | 0.857 | 0.0757 | 0.017a |
Intercept: | 2.281 | 9.784 | 0.0462 | 0.000a | 1.369 | 3.931 | 0.0945 | 0.000a |
 | Model Summary-Goodness of Fit Metrics | |||||||
Omnibus Test | 0.000 | Omnibus Test | 0.000 | |||||
AIC | 4595.488 | AIC | 3494.029 | |||||
BIC | 4618.398 | BIC | 3529.376 |