Implementation of the analytical hierarchy process with VBA in ArcGIS (original) (raw)
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Land Use Planning for Hillside Development Using GIS Based Analytic Hierarchy Process
Journal of Settlements and Spatial Planning, 2020
This paper discusses the process of selection of suitable sites for built-up area development in the lesser Himalayan terrain of Kumaun region in India. This process involves complex steps and handling multiple physiographic and socio-economic factors in order to achieve land suitability. The proposed approach of this study is to provide a framework for integrating the strengths of geographic information system (GIS) and the pairwise comparison matrix known as analytic hierarchy process (AHP) to obtain the most appropriate spatial solution for decision-makers. Thus, Bhikiyasen Block of district Almora, Kumaun Himalaya (India) was considered for mapping the potential sites for the future built-up area development. For this purpose, Cartosat 1 satellite data was used to generate various thematic layers using ArcGIS software. Seven parameters (slope, road proximity, land use/cover, land value, geological formation, drainage proximity and orientation of slopes) were analysed for site suitability and land evaluation. The thematic maps of these criteria were standardized using pairwise comparison matrix and weight for each criteria was generated based on their importance. These criteria and weights ultimately helped in preparing the final land use planning of the area under study. In this paper, the integrated approach of GIS and AHP is showcased as a major contribution towards the development of effective spatial decision support systems (SDSS). This study also provides a new approach for decision-makers in order to reduce future environmental hazards on hillside development.
Spatial decision support system Generator Free and open source software a b s t r a c t In a context where several sectors of society compete for space, land use types must be carefully designed and spatially allocated to guarantee a sufficient level of relevant ecosystem services (ES) in a territory of interest. In this respect, contemporary land use planning involves multiple, often conflicting objectives and criteria. Consequently, major benefits can be expected from spatial decision support systems (sDSS) designed to deal with complex spatial allocation problems. This paper presents the generic conceptual framework 'OSMOSE' and its free and open source software implementation, for the generation of specific sDSSs for spatial land use planning. The specific sDSSs generated with OSMOSE are meant to (i) identify land units which meet multiple predefined ES-attribute values for a specific land use type (LUT) and (ii) rank land units for a given LUT according to these multiple ES-attributes. A complementary purpose is to (i) identify and (ii) rank LUTs for a given land unit. Whereas 'identification' is done by means of a threshold query, 'ranking' is based on the Iterative Ideal Point Thresholding (IIPT) method. The proposed framework is extremely flexible as it can accommodate differentially weighted, continuous and/or ordinal attributes with, for the latter, equal or unequal number of classes, alternative land unit definitions and land use types. Moreover, assessments cannot only be made using ES-levels for the land unit/LUT combinations but also in terms of changes in ES-levels after a particular change of LUT. The OSMOSE framework is illustrated by means of the specific sDSS BoLa which is generated to support land use planning in the region of Flanders (Belgium) with focus on soil protection. Four cases are presented in which the decision support varies between the available approaches (threshold – selection, threshold – ranking, IIPT – selection, IIPT – ranking).