AI4PublicPolicy / Athens, Greece

Management & Optimisation of City Resources

đź“ŤAthens, Greece
About the pilot

The City of Athens is the capital city and largest Municipality in Greece and serves a population of about 750,000 people, swelling to almost 3 million when daily commuters are included. The City has a complex and aged infrastructure (roads, water pipelines, streetlights, public spaces, public buildings, garbage collection facilities, etc.). Furthermore, as one of Europe’s largest metropolitan areas, Athens must deal with significant traffic flows in the city, which must be handled in cost effective and environment efficient ways, but also in ways acceptable by the citizens. The pilot aims at developing, demonstrating and evaluating data-driven, citizen-centric and evidence-based policies about the maintenance of the city’s infrastructure and the citizens’ transport and urban mobility, including the economic implications of these policies.

Poster
Use Cases
  • Maintenance Policies Optimisation: This use case will develop and validate policies for the optimal allocation of maintenance resources (e.g., workers, vehicles, materials), as well as for scheduling of different activities in the city. The production of policies will take into account different parameters such as the type of infrastructure, the time needed for repair, the frequency of maintenance problems of specific types and in specific locations, possible bottleneck, as well as citizens’ feedback on their satisfaction from the maintenance process and outcomes.
  • Predictive Citizen-Centric Transport/Parking Policies Development: This use case will be based on the execution of AI analytics over transport data (notably parking information) as a means of providing citizens with prediction about parking availability in the different areas of the city. Taking into account historical data about parking spaces availability, fines imposed, fares paid and more, the AI4PublicPolicy tools will be used to recommend to citizens optimal tactics for finding parking spaces (e.g., locations with high-availability), as well as for optimizing their parking payments (i.e. fares during specific times of day and for specific locations). Citizens’ feedback will be solicited in order to fine-tune the data-driven policies and the related recommendations. Likewise, the VPME will be used to identify policies for the creation/allocation of parking spaces for the citizens (i.e. identifying areas where there is sufficient availability of spaces and other locations where more parking zones are needed to be created).
  • Economic/Revenue Policies Modelling: This third use case will expand the previous two use cases with information about the city’s revenues from the parking and the maintenance planning. In particular, the policy models of the previous use cases will be augmented with fiscal/monetary parameters in order to identify policies that maximize the city’s revenues from the parking service, while minimizing the cost of the maintenance, service and repair activities.
User Stories
No. Type of user Goal Reason
#1 As a Head of Urban Planning Dpt I want to see a prediction/forecast of the completion time for each type of incident so that I can provide a data driven feedback to citizens and the head of operations regarding the completion time
#2 As a Head of Urban Planning Dpt I want to have a prediction of the incidents frequency per season of the year in order to be able to plan the seasonal personnel according to forecasted needs
#3 As a Head of Road Construction, Sewerage and Public Spaces Management Dpt i want to be able to set a route of incident fixes locations based on shortest path principle so that i can optimize the personnel moving and vehicle costs and minimise the resolution time.
#4 As a Head of Road Construction, Sewerage and Public Spaces Management Dpt I want to receive feedback from citizens about maintenance issues handling So I can improve the issue  response time and quality
#5 As a City Employee (in the Dpt of Road Construction, Sewerage and Public Spaces Management/Urban Planning/Urban Green Spaces and Public Lighting I want to have a prediction of incidents occurrence frequency So I can plan equipment / materials purchases in optimal prices (economies of scale, etc.)
#6 As a City Employee (in the Dpt of Road Construction, Sewerage and Public Spaces Management/Urban Planning/Urban Green Spaces and Public Lighting I want to have an overview of the predicted maintainance needs in city assets (e.g. roads, lightning, pedestrian etc) So I can schedule activities more efficiently
#7 As a Head of Dpt of Road Construction, Sewerage and Public Spaces Management/Urban Planning/Urban Green Spaces and Public Lighting I want to have an output report on estimated predictions for the timeline, human resources and cost of maintainance of the city So I can provide maintenance services proactively and increase QoS life in the city
#8 As a citizen I want to be informed of the outcome of my complaint / report So I can be sure my complaint has been addressed
#9 As a City Worker I want to have a schedule of the foreseen maintenance and other repairing issues So I can estimate and manage my weekly/monthly workload
#10 As a Citizen Driver I want to have credible information on available / crowded parking spaces in the city So I can choose the right parking area and minimize the time looking for a parking space
#11 As a Head of the Municipal Police I want to know the areas with high/low parking space requests So I can allocate parking spaces between guests / residents more efficiently
#12 As a Head of the Municipal Police I want to know the duration of each parking space occupation per area So I can allocate parking spaces between guests / residents more efficiently
#13 As a Head of the Municipal Police I want to know the allocation of parking fines per day/time So I can allocate municipal officers patrol more efficiently
#14 As a Policy Maker I want to know the areas with high/low parking space requests per time of day So I can optimise fare prices and maximise Municipality revenue
Co-creation Workshops

1st Co-creation Workshop

Discover more about the first co-creation workshop organised by DAEM on 13 July 2021 at Serafeio Complex in Athens.

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