Smart Parking strategies
The features of Smart Parking Systems are not limited to the innovative procedures that help users to save time and fuel, but allow Municipalities to have total control over the entire city parking system.
The data collected by server and management software represent a very powerful tool to make precise choices regarding the management of the parking, both for trends and for the creation of personalised tariffs and incentives.
There are many data that can be analysed and then allow the creation of specific strategies.
The information collected, filtered and selected, can tell a lot about parking trends:
⭕️ the time slots of greater intensity according to specific areas;
⭕️ the rotation indexes of the parking lots;
⭕️ the most frequented and less used parking areas;
⭕️ parking more or less remunerative, basing on the amount of the transactions;
⭕️ the type of citizens using the parking system.
➡️ The implementation of these data allows to act in a direct and targeted way on a specific area, creating different policies in relation to the objectives that Municipality want to achieve.
Strategies and personalised rates
The next step is the segmentation of individual users, which are “aggregated” into groups (segments) based on certain parameters that may be age, lifestyle, behaviour, geographical area and much more.
At this point, it is possible to implement specific strategies in order to valorise certain parking areas or sections of the population in the right way.
Take for example the five points listed above and try ideally to create strategies to enhance some aspects.
➡️ Time slots. It could happen that in a specific area, after a certain time, the vacancies are many, less in another one. For example, by creating different hourly rates, users could be encouraged to choose to park at that point rather than in another.
➡️ Rotation indexes. A high parking lot rotation index could indicate more parked users for short commissions, while a lower index a number of residents or workers. In this case, special rates could be put in place for a specific segment of the population.
➡️ Most frequented areas. In the same way of the time slots, in this case it is possible to balance the rates to channel drivers from more frequented areas to others that are less or the number of available stalls could be increased. It is also important in this case to understand as much as possible what is the type of citizen which most use a specific area.
➡️ Revenues. The system can show the trend of collections in real time. Specific strategies can then be created in order to increase revenues where they tend to be low.
➡️ Type of user. Segmentation allows you to create groups of users and establish parking trends. The Municipality can implement specific policies for some categories, providing for example cards for residents, workers, students and mothers in order to encourage these regular customers (by choice or necessity) to use the system and, why not, get them save money.
These types of computerised services and the attention that the Municipality shows to citizens through the strategies implemented, allows them to use the system with increasing awareness and to appreciate even more the enormous benefits.
➡️ The satisfaction of users, if initially can be linked to savings in economic terms, can later also include other areas, such as greater traffic regulation, the awareness of living in the healthiest environment possible and more generally a wellbeing that involves every aspect of life.
Put in place the right strategies allow Municipality to respond effectively to the needs of all citizens, present and future.
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