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An Interactive Decision Support System for Land Reuse Tasks.

Yves Annanias, Dirk Zeckzer, Gerik Scheuermann

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    This summary is machine-generated.

    This study introduces an interactive decision support system to aid experts in land reuse planning. The system simplifies complex decisions by visualizing data and linking textual information, leading to high user satisfaction.

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    Area of Science:

    • Environmental planning
    • Geographic Information Systems (GIS)
    • Urban development

    Background:

    • Land reuse planning involves complex decisions regarding area selection, restrictions, and conditions.
    • Non-spatial textual data associated with land areas complicates the decision-making process.
    • Identifying similar regions at different development stages is crucial for effective planning.

    Purpose of the Study:

    • To develop an interactive decision support system for experts in land reuse.
    • To simplify the process of evaluating land reuse options by integrating spatial and textual data.
    • To facilitate the identification of comparable regions and common planning tasks.

    Main Methods:

    • Implementation of an interactive decision support system with aggregated representations and multiple coordinated views.
    • Integration of category filters and selection mechanisms for efficient data exploration.
    • Linking textual information to visualizations for decision justification.

    Main Results:

    • The system provides aggregated representations and multiple coordinated views to support expert decision-making.
    • Textual information is directly linked to visualizations, enhancing transparency and justification.
    • Experts reported high satisfaction with the interactive decision support system based on SUS questionnaire results.

    Conclusions:

    • The developed interactive system effectively supports experts in complex land reuse decisions.
    • Visualizations and linked textual data streamline the evaluation of restrictions and conditions.
    • The system enhances user satisfaction and aids in identifying comparable regional development patterns.