**Appendix B**

The income categories of reported household incomes were computed into the following categories: Less than €1500 = very low, €1500–€3000 = low, €3000–€4500 = medium, €4500–€6500 = high, and more than €6500 = very high.

Household type was reported in the following six categories: "Several people with separate budgets", "single person living on her or his own", "single person living with parents", "couple living together", "couple with child/children", and "single parent with child/children". Categories were merged based on these three household types: Being in a childless relationship (couple, n = 298), having a child (family, n = 313), and being single and childless (single, n = 260).

Education was reported in six categories: Basic education, upper secondary, lowest tertiary, under graduate, graduate, and postgraduate. To ensure an adequate number of respondents in each category, the six categories were merged into three—low, medium, and high—based on the real-world background information they represent and the number of respondents in each group. "Under graduate" became the category "medium" (n = 271) so an education level below that became "low" (n = 232) and above became "high" (n = 394).

Gender was reported dichotomously: Men were computed into 0 and women into 1.

#### **Appendix C**

This appendix presents regressions performed on the data split by zones to see how the relationships between attitudes and behaviors vary in space. Each urban zone was regressed in a separate model. A multiple linear regression table of clothing, household energy, and produce related PEB factor scores is first presented, followed by three binary logistic regression tables on participation in local, national, and international travel emissions.


**Table A2.** Multiple linear regression of clothing, household energy, and produce related PEB factor scores, with education level, household type, income category, gender, and PEA as dependent variables, with data split by zones.

Notes. \**p* < 0.05. \*\**p* < 0.01. \*\*\**p* < 0.001.

**Table A3.** Binary logistic regression on participation in local travel emissions with data split by residential zones. Education level, household type, income category, gender, and PEA are dependent variables.


Notes. \**p* < 0.05. \*\**p* < 0.01. \*\*\**p* < 0.001. <sup>1</sup> Hosmer-Lemeshow test of goodness-of-fit.



Notes. \**p* < 0.05. \*\**p* < 0.01. \*\*\**p* < 0.001. <sup>1</sup> Hosmer-Lemeshow test of goodness-of-fit.

**Table A5.** Binary logistic regression on participation in international travel emissions with data split by residential zones. Education level, household type, income category, gender, and PEA are dependent variables.


Notes. \**p* < 0.05. \*\**p* < 0.01. \*\*\**p* < 0.001. <sup>1</sup> Hosmer-Lemeshow test of goodness-of-fit.
