Decision Support System for Smart Cities - Almawave
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Digital Twin for urban assessment and monitoring

Interactive platform that supports Public Administrations and urban stakeholders in assessing the state of the city, especially on issues such as safety, green perception and coverage, tourism welfare status, and air quality. Using synthetic indicators (smart index), map representation and machine learning models, the solution creates a “digital twin” of the territory with which to monitor ongoing projects, simulate planned actions and assess their impact.

Comprehensive and detailed mapping of the urban area

Calculation of quantitative indicators by synthesizing data from multiple sources

Development of models for “what if” analysis and forecast scenarios

Use case

Measuring the impact of preventive strategies on crime frequency

Comparison of different solutions, such as increased cameras and lighting, in improving perceived safety

Identifying urban areas for targeted control and officer deployment

Success case

Indicators and algorithms to improve public safety

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The Challenge

The need for a unified and concise vision of urban safety led the Municipality of Messina to turn to Almawave for tools to identify critical areas and plan effective, targeted interventions.

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The Solution

With our team of experts, we have integrated internal datasets (such as crime statistics, degradation levels, incident history, number of cameras, and lighting points) and external datasets (e.g., sentiment analysis, online reviews, and reported crimes) into the Municipality’s Big Data Platform. Using AI technologies, we have correlated these data to create a unique and comprehensive indicator, the Smart Security Index, which helps identify the factors and measures that most significantly impact urban security.

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The Result

Our solution enabled the Municipality of Messina to clearly identify the city’s ‘hot spots,’ where critical issues are concentrated. We provided a detailed overview of existing ‘safety facilitators,’ such as cameras and lighting, and highlighted other key parameters, including the flow of people and citizens’ perception of safety. Thanks to our platform, the Municipality can now simulate hypothetical actions and analyze improvement strategies through interactive dashboards that allow for the forecasting of alternative scenarios. By consciously and knowledgeably planning targeted interventions, they can optimize resources and enhance the perception of safety among citizens.

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Towards a smarter municipality

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