. 2021 Feb 1;16(2):e0245886. doi: 10.1371/journal.pone.0245886

Table 2. Results from negative binomial model (NBM) regression method.

*Part D* ^a^,^b	Walk	Bicycle	Motorcycle	Car alone	Car shared
Male \| Female	-.068 ± .025^**	-.050 ± .025^*	-.048 ± .025^ns	.020 ± .026^ns	.012 ± .024^ns
Education 1 \| 6	.269 ± .300^ns	.459 ± .300^ns	.384 ± .302^ns	.399 ± .312^ns	.114 ± .298^ns
Education 2 \| 6	.203 ± .120^ns	.346 ± .120^**	.291 ± .121^*	.556 ± .121^***	.050 ± .118^ns
Education 3 \| 6	.129 ± .052^*	.088 ± .053^ns	.065 ± .053^ns	.130 ± .055^*	.048 ± .050^ns
Education 4 \| 6	.058 ± .043^ns	.043 ± .044^ns	.064 ± .044^ns	.122 ± .046^**	.015 ± .042^ns
Education 5 \| 6	.020 ± .044^ns	.043 ± .045^ns	.042 ± .046^ns	.074 ± .047^ns	.049 ± .043^ns
Age	-.005 ± .001^***	-.005 ± .001^***	-.005 ± .001^***	-.006 ± .001^***	-.004 ± .001^**
Gini	.008 ± .002^***	.010 ± .002^***	.013 ± .002^***	.013 ± .002^***	.004 ± .002^**
Deaths	-.005 ± .001^***	-.004 ± .001^***	-.005 ± .001^***	-.005 ± .001^***	-.003 ± .001^**
Density	.000 ± .0001^**	.000 ± .0001^***	.001 ± .0001^***	.001 ± .0001^***	.000 ± .0001^ns
WFH	-.008 ± .003^**	-.011 ± .003^***	-.019 ± .001^***	-.009 ± .003^**	-.019 ± .003^***
	Bus	Metro/Tram	Train	Airplane
Male \| Female	-.038 ± .023^ns	-.040 ± .027^ns	-.040 ± .025^ns	-.036 ± .024^ns
Education 1 \| 6	-.211 ± .298^ns	-.284 ± .340^ns	-.138 ± .307^ns	-.180 ± .308^ns
Education 2 \| 6	-.232 ± .117^*	-.271 ± .125^*	-.152 ± .119^ns	-.198 ± .119^ns
Education 3 \| 6	-.016 ± .049^ns	-.068 ± .056^ns	-.023 ± .051^ns	-.020 ± .050^ns
Education 4 \| 6	-.033 ± .040^ns	-.059 ± .046^ns	-.046 ± .043^ns	-.036 ± .042^ns
Education 5 \| 6	-.010 ± .041^ns	-.018 ± .047^ns	-.008 ± .044^ns	.002 ± .043^ns
Age	-.002 ± .001^ns	-.001 ± .001^ns	-.001 ± .001^ns	.000 ± .001^ns
Gini	.006 ± .002^***	.005 ± .002^**	.007 ± .002^***	.004 ± .002^**
Deaths	.000 ± .001^ns	.002 ± .001*	.001 ± .001^ns	.001 ± .001^ns
Density	.000 ± .0001^ns	.000 ± .0001^ns	.000 ± .0001^ns	.000 ± .0001^ns
WFH	-.008 ± .003^**	.001 ± .003^ns	-.003 ± .003^ns	.004 ± .003^ns
*Part E* ^{a b}	Walk	Bicycle	Motorcycle	Car alone	Car shared
Male \| Female	-.033 ± .026^ns	-.046 ± .027^ns	-.042 ± .027^ns	-.035 ± .026^ns	-.001 ± .026^ns
Education 1 \| 6	-.093 ± .303^ns	.125 ± .321^ns	-.225 ± .346^ns	.095 ± .309^ns	-.048 ± .323^ns
Education 2 \| 6	.066 ± .120^ns	.061 ± .121^ns	.124 ± .120^ns	.028 ± .123^ns	.003 ± .120^ns
Education 3 \| 6	.037 ± .055^ns	.023 ± .055^ns	.014 ± .056^ns	.017 ± .056^ns	.033 ± .054^ns
Education 4 \| 6	-.017 ± .046^ns	-.010 ± .047^ns	-.007 ± .047^ns	-.004 ± .047^ns	-.018 ± .045^ns
Education 5 \| 6	.003 ± .047^ns	.009 ± .047^ns	.001 ± .048^ns	.012 ± .048^ns	.013 ± .047^ns
Age	.001 ± .001^ns	.001 ± .001^ns	.001 ± .001^ns	.001 ± .001^ns	-.001 ± .001^ns
Gini	-.004 ± .002^*	-.003 ± .002^ns	.002 ± .002^ns	-.002 ± .002^ns	-.001 ± .002^***
Deaths	.000 ± .001^ns	.000 ± .001^ns	.000 ± .001^ns	.001 ± .001^ns	-.001 ± .001^ns
Density	.000 ± .001^ns	.000± .0001^ns	.000 ± .0001^ns	.000 ± .0001^*	.000 ± .0001^ns
WFH	-.001 ± .001^ns	.001 ± .003^ns	-.001 ± .003^ns	.001 ± .001^ns	-.009 ± .003^***
	Bus	Metro/Tram	Train	Airplane
Male \| Female	.019 ± .024^ns	.004 ± .029^ns	.009 ± .026^ns	.007 ± .026^ns
Education 1 \| 6	-.292 ± .317^ns	-.038 ± .309^ns	-.254 ± .314^ns	-.264 ± .325^ns
Education 2 \| 6	-.051 ± .118^ns	-.121 ± .125^ns	-.084 ± .120^ns	-.159 ± .121^ns
Education 3 \| 6	.006 ± .051^ns	-.061 ± .060^ns	-.017 ± .055^ns	-.023 ± .053^ns
Education 4 \| 6	-.043 ± .043^ns	-.053 ± .050^ns	-.055 ± .046^ns	-.069 ± .044^ns
Education 5 \| 6	.014 ± .044^ns	.009 ± .052^ns	.008 ± .047^ns	.002 ± .045^ns
Age	-.002 ± .001^ns	-.001 ± .001^ns	-.002 ± .001^ns	-.002 ± .001^ns
Gini	-.003 ± .002^ns	.000 ± .002^ns	.000 ± .002^ns	.001 ± .002^*
Deaths	-.002 ± .001^**	-.003 ± .001^**	-.003 ± .001^**	.004 ± .001^***
Density	.000 ± .0001^ns	.000 ± .0001^ns	.000 ± .0001^ns	.000 ± .0001^ns
WFH	-.008 ± .003^**	.001 ± .004^ns	-.005 ± .003^ns	-.005 ± .003^ns
*Part F* ^a,b	In the region	In the country	In the world
Male \| Female	-.001 ± .027^ns	-.052 ± .026^*	-.067 ± .025*
Education 1 \| 6	.306 ± .324^ns	.242 ± .318^ns	.055 ± .313^ns
Education 2 \| 6	.291 ± .127^*	.253± .125^*	-.015 ± .124^ns
Education 3 \| 6	.050 ± .055^ns	.079 ± .054^ns	-.019 ± .052^ns
Education 4 \| 6	-.020 ± .046^ns	-.038 ± .045^ns	-.057 ± .043^ns
Education 5 \| 6	.001 ± .047^ns	-.012 ± .046^ns	-.031 ± .044^ns
Age	.005 ± .001^***	.004 ± .001^**	-.001 ± .001^ns
Gini	.001 ± .002^ns	.001 ± .002^ns	-.004 ± .002^*
Deaths	.005 ± .001^***	.005 ± .001^***	.001 ± .001^ns
Density	.000 ± .0001^**	.000 ± .0001^***	.000 ± .0001^***
WFH	-.006 ± .003^*	-.004 ± .003^ns	.004 ± .003^ns

^aSuperscripts are ns = non-significant

* = p < .05

** = p < .01

*** = p < .001.

^bAbbreviations are “Education 1” = Primary school, “Education 2” = Middle school, “Education 3” = High school, “Education 4” = BSc, “Education 5” = MSc, “Education 6” = PhD.

Parameters estimates, standard deviation and statistical significance (B ± S.E.^a) for the responses to perceived probability of contracting COVID-19 (Part D), perceived effectiveness of curbing COVID-19 (Part E) and perceived time needed by the transportation sector to completely recover (Part F).