Status:
âś… Finalized
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Urban public parks are essential infrastructure for public health, social interaction, and urban biodiversity. However, maintaining these spaces and responding to incidents (vandalism, infrastructure decay) remains a significant logistical hurdle for municipal authorities globally.
Fujisawa City, Japan, has seen an increasing volume of park-related reports. The city recognized a need to modernize its park services by moving beyond simple data collection toward integrated data management and decision support.
Concrete manifestation: The city faced a growing number of reported incidents, such as damaged playground equipment, graffiti, and vegetation overgrowth. These issues were reported by various groups (staff and citizens), but the information remained scattered.
Who/What is affected: Park management teams (struggling to prioritize tasks), citizens (dealing with degraded public facilities), and the overall operational efficiency of the municipality.
Current situation: While Fujisawa began collecting incident data through digital reporting tools, the workflow remained largely reactive.
The Gap: Reports were fragmented and difficult to analyze collectively. There was a lack of integration between historical data, seasonal patterns, and real-time field reports. Without centralized visualization, the city could not effectively detect incident clusters or anticipate maintenance needs before they became critical infrastructure failures.
The city needs to transition from reactive maintenance to a proactive, data-driven approach by centralizing all park-related data sources into a single operational view that supports real-time situational awareness.
Expected outcome
Operational: Faster response times and improved reliability of incident data.
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