## 3 Results
### Descriptive Statistical Analysis
\begin{table}
\begin{tabular}{l l l l l l} \hline \hline  & **(1)** & **(2)** & **(3)** & **(4)** & **(5)** \\ \hline  & **Use of Courier** & **Weekly Use of** & **Environmental Footprint** & **Environmental Footprint** & **Environmental Footprint** \\  & **Service** & **Pick-Up Points** & **of Pick-Up Points: Larger** & **of Pick-Up Points: Same** & **of Pick-Up Points: Same** & **of Pick-Up Points: Smaller** \\ \hline Gender & \(-0.435\)*** & \(0.611\)*** & \(-0.462\) & \(0.015\) & \(0.070\) \\  & (0.166) & (0.216) & (0.283) & (0.112) & (0.097) \\ Age & \(0.034\) & \(1.276\) & \(-0.594\)*** & \(-1.187\)*** & \(1.257\)*** \\  & (0.395) & (1.008) & (0.171) & (0.229) & (0.216) \\ Age2 & \(0.001\) & \(-0.235\) & \(0.148\)*** & \(0.240\)*** & \(-0.261\)*** \\  & (0.099) & (0.180) & (0.048) & (0.039) & (0.038) \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Empirical results from logistic regression models (Greek case study). \begin{table}
\begin{tabular}{l l l l l} \hline \hline
**Variable Name** & **Variable Label** & **Categories and Label** & **\# Observations** & **\# Observations** \\  & & **Values** & **Greek Case Study** & **Italian Case Study** \\ \hline _Dependent Variables_ & & & & \\ \hline Use of courier service & Do you use courier services? & (1) Yes & 1095 & 233 \\  & & (0) No & & \\ \hline  & If you use pick-up points, do you use & & & \\ Weekly use of & them at least once per week? (i.e., this & (1) Yes & 1055 & 233 \\ pick-up points & includes the answers: once per week; & (0) No & & \\  & more than once per week; daily) & & & \\ \hline _How do you evaluate the environmental footprint of delivery pick-up points compared to home delivery?_ & & & \\ \hline Environmental footprint & Larger or somehow larger & (1) Yes & 1081 & 233 \\ of pick-up points: Larger & & (0) No & & \\ \hline Environmental footprint & Neither larger nor smaller & (1) Yes & 1081 & 233 \\ of pick-up points: Same & & (0) No & & \\ \hline Environmental footprint & Smaller or somehow smaller & (1) Yes & 1081 & 233 \\ of pick-up points: Smaller & & (0) No & & \\ \hline _Which are your criteria for choosing a specific pick-up point?_ (_Only those who indicated making use of pick-up points can answer_) & & & \\ \hline Time flexibility & Flexibility in delivery time & (1) Yes & 1055 & 225 \\  & & (0) No & & \\ \hline Distance from home & Distance from your home & (1) Yes & 1055 & 225 \\  & & (0) No & & \\ \hline Lower cost & Lower cost compared to home delivery & (1) Yes & 1055 & 225 \\  & & (0) No & & \\ \hline Delivery speed & Speed of delivery and service & (1) Yes & 1055 & 225 \\ \hline User-friendliness & Easy use of the service & (1) Yes & 1055 & 225 \\  & & (0) No & & \\ \hline _Independent Variables_ & & & & \\ \hline Gender & Gender of respondent & (1) Male & & \\  & & (0) Female & & \\ \hline  & & & (1) 18–24 & & \\ Age & Age category of the respondent & (3) 40–54 & & \\  & & (4) 55–64 & & \\  & & (5) 65+ & & \\ \hline  & & & (1) University student & & \\ University student & Education level of the respondent & or completed secondary & & \\  & & education & \\  & & & (0) Graduate of & \\  & & tertiary education & & \\ \hline Low income class & Monthly income of the respondent & (1) Yes & & \\  & ranging from EUR 0 to 800 & (0) No & & \\ \hline High income class & Monthly income of the respondent above & (1) Yes & & \\  & EUR 1600 & (0) No & & \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Description of the variables employed in the analysis. Table 4 presents the results regarding the utilization of courier services, pick-up points, and perceptions of their environmental impact for the Greek case study. Gender significantly influences the use of courier services, with females more inclined to use such services compared to males. Conversely, males show a higher propensity for weekly use of pick-up points.