## 3 Results
### Descriptive Statistical Analysis
* Rate the experience of using PUPs in terms of speed of service: For the Greek case study, over 50.0% (51.2%) of the participants rated, using a 5-point Likert scale (Bad, Fair, Good, Very Good, and Excellent), their experience using PUPs in terms of speed of service as Very Good or Excellent. The percentage of participants having a positive experience increased to 85.2% by including those that rated their experience as Good. Thus, the percentage of participants with a negative experience with using PUPs (always in relation to the speed of service) was almost 15.0% (14.8%). For the Italian case study, most responses were concentrated in the central category (Good, 68.7%), indicating an overall good relationship without exaggerated enthusiasm. The percentage of respondents who indicated Very Good or Excellent was, overall, 18.9%, while the remaining 12.4% indicated Poor or Fair (Figure 2f). * Expanding the existing PUPs network: For the Greek case study, over 3% of the participants had a positive attitude regarding expanding the existing network of PUPs (76.4%), while the other 23.6% were negative toward such a possibility. For the Italian case study, a vast majority (90.1%) of the analyzed sample declared themselves to feel positive regarding the possibility of extending the pick-up point network (Figure 2g). * Perceived level of safety and security while using PUPs: For the Greek case study, most participants (79.6%) felt secure and safe while using PUPs (a 5-point Likert scale was used for this question, allowing the participants to choose among Bad, Fair, Good, Very Good, and Excellent). However, a significant percentage of the participants (20.4%) felt insecure and unsafe while using PUPs, which is a rather important issue for the administrators to address. For the Italian case study, although most respondents indicated a Good or higher condition (85.7%), there was a significant minority who declared a feeling of insecurity (Figure 2h)  
Figure 2: _Cont._  
Figure 2: _Cont_. * Environmental footprint: In this question, the participants were asked to evaluate the environmental footprint of PUPs compared to traditional home deliveries. A 5-point Likert scale was used (Low, Neutral, Good, Very Good, Excellent), allowing the participants to estimate whether PUPs are more environmentally friendly than home deliveries concerning the produced environmental footprint from both the couriers and the users. If a person chose 1, that means that, in his/her estimation, home deliveries are more environmentally friendly than PUPs. For the Greek case study, almost 95% of the participants (94.6%) estimated that PUPs are more environmentally friendly compared to traditional home deliveries, while the other 5.3% estimated the opposite. For the Italian case study, most respondents (57.9%) indicated a good environmental impact, comparable to that of deliveries, while a significant minority, 31.3% overall, indicated a better environmental impact. The remaining 10.7% believed  
Figure 2: Distribution of collected data regarding Section’s B questions (Greek case study: blue/red, Italian case study: green/red). that home deliveries have an overall better environmental impact than pick-up points (see Figure 2i). * Easiness and availability of PUPs: For the last question, the participants were asked whether PUPs' easiness of use, as well as their 24/7 availability, are factors that are taken into consideration by them in purchasing online goods. For the Greek case study, most of the participants replied positively (66.2%), while the remaining 33.8% replied negatively. For the Italian case study, approximately 81.5% of respondents believed that 24/7 accessibility and convenience is a factor that influences purchases at pick-up points (see Figure 2j). To empirically evaluate the impacts of demographic characteristics on individuals' behavior related to courier delivery services, we estimated logistic regression models using a consistent set of independent demographic variables across various binary dependent variables [40].