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@@ -20,7 +20,7 @@ The current management of urban green areas is often fragmented and inefficient.
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Moreover, the lack of predictive capabilities prevents administrations from anticipating issues such as plant diseases, drought stress, or degradation of public spaces. Decisions are frequently based on limited information and subjective judgment rather than on comprehensive and continuously updated data.
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## Why a Computer-Based System
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## Why a Computer-based System?
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A computer-based system enhanced with AI techniques represents a suitable solution to address these challenges. Such a system can integrate heterogeneous data sources, from environmental sensors to citizen reports, analyze them and provide actionable insights to decision-makers.
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# Goal-Oriented Analysis
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# Goal-oriented Analysis
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## Requirements Elicitation
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- **Scalability:** The system should be able to scale to support different city sizes and increasing volumes of data.
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- **Interoperability:** The system should be able to interoperate with existing information systems used by public administrations.
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### Non-Functional Requirements
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### Non-functional Requirements
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Several non-functional requirements have been identified:
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1. **(G1) Improve Urban Green Areas Quality:** Urban green areas should be maintained in a healthy, safe, and accessible condition.
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2. **(G2) Support Sustainable Urban Development:** Green areas should contribute to environmental sustainability and citizens' well-being.
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3. **(G3) Improve Decision-Making in Public Administration:** Local administrations should make informed and timely decisions regarding maintenance and planning.
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3. **(G3) Improve Decision-making in Public Administration:** Local administrations should make informed and timely decisions regarding maintenance and planning.
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## Goal Refinements
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1. **(G2.1) Reduce Environmental Impact:** Maintenance strategies should minimize negative environmental effects.
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2. **(G2.2) Increase Citizens' Quality of Life:** Green areas should promote social interaction, safety, and well-being.
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### Refinement of G3: Improve Decision-Making in Public Administration
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### Refinement of G3: Improve Decision-making in Public Administration
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G3 can be refined into the following sub-goals:
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1. **(G3.1) Provide Data-Driven Insights:** Decisions should be supported by data analysis rather than intuition alone.
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1. **(G3.1) Provide Data-driven Insights:** Decisions should be supported by data analysis rather than intuition alone.
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2. **(G3.2) Optimize Resource Allocation:** Financial and human resources should be used efficiently.
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### Requirements

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