Daily issues that directly affect overall urban mobility such as traffic flow, air pollution, economic development, and access to essential public and private services are directly affected by parking. Based on this, the main objective of the research is to investigate the critical characteristics that affect parking duration in private parking lots . For this purpose, a large central was developed, which included data from the Cityzen company, consisting of various records of passenger vehicles from 13 parking areas inside and outside the Attica Region. These records accounted in total more than 520,000 individual parking recordings and included information such as the type of customer, the date and time of entry and exit from the parking lot, the duration of parking, the square meters and the levels of the parking facility. Moreover, additional variables were calculated to further analyze the data, such as the distance from the nearest bus stop and metro station, the commercial use of the area, and the population of the municipality where the parking lot is located. Then, three models were created, with the parking duration set as the dependent variable. Specifically, the data were grouped as follows: the first model included all the records, while the other two were classified based on their location (inside or outside Attica). Statistical analysis revealed that drivers tend to park for longer periods during the morning hours and mainly in spring, while parking duration does not show a strong correlation with the type of customer. The results provide the potential to develop innovative and more efficient methods for managing parking lots.