A multiobjective GIS-based land use planning algorithm

T.J. Stewart, R. Janssen

    Research output: Contribution to JournalArticleAcademicpeer-review

    Abstract

    This paper purposes an enhanced land use optimization model for land-use planning with a new spatial component. This component uses a simple representation of the proximity of related land uses to each other as a function of distances between parcel centroids. A special purpose genetic algorithm is developed for solving the resultant optimization problems for both the direct (additive) objectives and the indirect (spatial) objective. The context relates to interactive decision support for land use planning in which the data are stored in a vector-based GIS, and the requirement was to integrate the multiobjective optimization with the GIS structure. The present work thus extends earlier work by the authors which used a grid (raster) structure. The model is based on a reference point approach in which both additive and spatial goals can be specified. Numerical testing of the algorithm, and experimentation with possible user inputs, are described in the context of a real case study from a region of The Netherlands. It is shown that the simplified spatial proximity measure and the associated algorithm produce consistent results in which the spatial distribution of activities are essentially the same as with more complex modeling of spatial goals, achievable in the particular case study with little loss in terms of the additive objectives. © 2014 Elsevier Ltd.
    Original languageEnglish
    Pages (from-to)25-34
    JournalComputers, Environment and Urban Systems
    Volume46
    DOIs
    Publication statusPublished - 2014

    Fingerprint

    land use planning
    Geographical Information System
    land use
    GIS
    planning
    raster
    genetic algorithm
    optimization model
    spatial distribution
    Netherlands
    modeling

    Cite this

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    title = "A multiobjective GIS-based land use planning algorithm",
    abstract = "This paper purposes an enhanced land use optimization model for land-use planning with a new spatial component. This component uses a simple representation of the proximity of related land uses to each other as a function of distances between parcel centroids. A special purpose genetic algorithm is developed for solving the resultant optimization problems for both the direct (additive) objectives and the indirect (spatial) objective. The context relates to interactive decision support for land use planning in which the data are stored in a vector-based GIS, and the requirement was to integrate the multiobjective optimization with the GIS structure. The present work thus extends earlier work by the authors which used a grid (raster) structure. The model is based on a reference point approach in which both additive and spatial goals can be specified. Numerical testing of the algorithm, and experimentation with possible user inputs, are described in the context of a real case study from a region of The Netherlands. It is shown that the simplified spatial proximity measure and the associated algorithm produce consistent results in which the spatial distribution of activities are essentially the same as with more complex modeling of spatial goals, achievable in the particular case study with little loss in terms of the additive objectives. {\circledC} 2014 Elsevier Ltd.",
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    A multiobjective GIS-based land use planning algorithm. / Stewart, T.J.; Janssen, R.

    In: Computers, Environment and Urban Systems, Vol. 46, 2014, p. 25-34.

    Research output: Contribution to JournalArticleAcademicpeer-review

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    AU - Stewart, T.J.

    AU - Janssen, R.

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    AB - This paper purposes an enhanced land use optimization model for land-use planning with a new spatial component. This component uses a simple representation of the proximity of related land uses to each other as a function of distances between parcel centroids. A special purpose genetic algorithm is developed for solving the resultant optimization problems for both the direct (additive) objectives and the indirect (spatial) objective. The context relates to interactive decision support for land use planning in which the data are stored in a vector-based GIS, and the requirement was to integrate the multiobjective optimization with the GIS structure. The present work thus extends earlier work by the authors which used a grid (raster) structure. The model is based on a reference point approach in which both additive and spatial goals can be specified. Numerical testing of the algorithm, and experimentation with possible user inputs, are described in the context of a real case study from a region of The Netherlands. It is shown that the simplified spatial proximity measure and the associated algorithm produce consistent results in which the spatial distribution of activities are essentially the same as with more complex modeling of spatial goals, achievable in the particular case study with little loss in terms of the additive objectives. © 2014 Elsevier Ltd.

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