## 3 Results
### Descriptive Statistical Analysis
In particular, the largest proportion related to the provinces closest to Enna, and of those with the largest population shares, 12.9% come from Catania, 12% from Palermo, and 12.9% from Caltanissetta (see Figure 1e). Regarding the analysis of the collected data on Section's B questions, it must be noted that the numbers of questionnaires filled out that were analyzable were 1117 for the Greek case and 233 for the Italian case. Here are the main findings:  
* Usage of courier services: For the Greek case study, almost 95% (94.6%) of the participants stated that they used courier services to receive and/or send small parcels, while the remaining 5% (5.4%) stated the opposite. For the Italian case study, almost all the respondents used courier services (96% against 4%) (Figure 2a). * Awareness of existing PUPs network: For the Greek case study, the percentage of the participants that were aware of the existence of PUPs in the city of Thessaloniki was considered as high (83.4%). However, 16.6% of the participants were not aware of this network, leaving significant room for the administrators of the PUPs network to bring it to their knowledge. For the Italian case study, awareness of existing networks was commonly spread across the sample. In total, 87% of respondents stated that they knew of the possibility of picking up parcels at specific points (Figure 2b). * Frequency of PUPs usage: For the Greek case study, although most of the participants used courier services and were aware of the existence of PUPs, they rarely/occasionally used them (62.8%). Daily, only 0.4% of the participants used PUPs, while 3.3% used them once per week, 1.5% more than once per week, 21.6% once per month, and 10.45 more than once per month. For the Italian case study, a large share of respondents (40.8%) used pick-up points only scarcely, even if a larger share was aware of pick-up points and used courier services. In total, 40.3% of respondents used pick-up points monthly, while 18.5% declared that they used pick-up points on a weekly basis. Only one respondent used pick-up points daily (Figure 2c). * Types of products purchased using PUPs: For the Greek case study, the next question concerned the types of products the participants prefer to purchase using the PUPs network. It must be mentioned that for this question, each participant could choose up to five answers from a specific list of products (electric devices, clothing/footwear, products for personal care, home decoration, office consumables, pet supplies, sport equipment, pharmaceuticals and parapharmaceuticals, toys, gifts, and others). The most preferred type of goods was clothing/footwear, followed by products for personal care and electric devices. The least preferable products were pet supplies, toys, and home decoration. For the Italian case study, twelve categories were indicated, and each respondent was asked to choose up to five. The most requested categories were clothing (indicated by 61.4% of the total) and books (52.8%). The least requested were pet supplies and sport accessories (both less than 10%) (Figure 2d). * Criteria for choosing a specific point to pick up goods: For the Greek case study, again, for this question, the participants had the ability to choose up to five answers from a provided list. The criterion with most answers concerned the distance of PUPs from the participant's home location, followed by the lower cost of using PUPs compared to traditional home delivery services and the freedom PUPs provide to the people to pick up their goods whenever they want. The least preferable criterion was the accessibility of the PUP by public transport modes, followed by the availability of parking space for their private cars near the PUP. For the Italian case study, most respondents (86.3%) indicated distance from home, indicating that proximity to home is a real driving reason for choosing a pick-up point. The least indicated criterion was linked to environmental practices, indicated by 8.2% of respondents (Figure 2e).