Parking data analysis
Project description
March 2022 – June 2024
The goal of the eUVM project is to reduce traffic-related air pollutants. Aspects related to parking also play an important role, because the availability of parking spaces often attract car traffic. Overcrowding of parking spaces also results in a search for a parking spot, which leads to emissions, especially in residential areas.
Parking space management in particular can contribute to a reduction in car traffic and its emissions. In central areas of Berlin, new parking zones will be introduced in 2022 and 2023 successively. This project investigates the impact of this measure on the traffic and creates a comprehensive data basis of the public parking supply.
The parking data analysis is intended to generate data and findings on public parking space and its relationship to the volume of traffic in Berlin. To this end, public parking spaces will be mapped with the help of scan cars, their utilisation will be recorded over a longer period of time. User-specific data, such as parking duration, will be digitally collected.
Neighbourhoods in which new parking management zones will soon be introduced will be examined particularly intensively. It looks at how parking zones can contribute to reduce traffic volumes and influence mobility behaviour. In addition, the volume of parking search traffic and its share of total traffic before and after the introduction of parking space management will be examined.
Objectives & core questions
- How high is the rededication potential of parking space in selected areas, especially also after the introduction of parking space management, increase of charges or increased controls?
- What effects did the introduction of parking space management have on user behaviour over time?
- Where are there hot spots with high parking pressure?
- How high is the parking search traffic in individual areas?
- Are there any rebound effects from the introduction of parking management?
- Which measures should be taken to ensure and increase the effectiveness and efficiency of parking management?
A special feature of the project is that data on stationary traffic is linked with data on moving traffic. By looking at the two levels of parking and traffic in a coherent way, insights can be gained into the topics of parking search traffic, traffic reduction, traffic induction and rebound effects. The findings are intended to produce more effective and efficient parking management in the medium term. In addition, the data and analyses should support planners in converting parking spaces into alternative forms of use, in generating modal shifts to environmental transport or in achieving a general reduction in motorised private transport (MIV).
Cars equipped with sensors are used for data collection (scan cars). No personal data is collected in this process. The complete data processing and anonymisation of the people and vehicle registration numbers in the collected and provided image data already takes place in the vehicle and is in accordance with the data protection guidelines of the EU – GDPR.