当前位置: X-MOL 学术Ecol Modell › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Determining agricultural suitable land in peri-urban geography using GIS and Multi Criteria Decision Analysis (MCDA) techniques
Ecological Modelling ( IF 3.1 ) Pub Date : 2021-06-23 , DOI: 10.1016/j.ecolmodel.2021.109610
E. Ustaoglu , S. Sisman , A.C. Aydınoglu

Land-use suitability analysis is of significance for the planning and management of cities. The main objective of this study was to develop a spatial model for land suitability assessment for peri-urban agricultural development with the use of geographic information systems (GIS) integrated with Multi Criteria Decision Analysis (MCDA) techniques. Physical attributes, land use, natural resources, accessibility, geology and soil properties were recognised as the key factors influencing land suitability for peri-urban agriculture in the study area. The study follows an integrated approach for the suitability assessment of agricultural development in Pendik District of Istanbul (Turkey) through integrating fuzzy logic model, Analytical Hierarchy Process (AHP) and the technique for order preference by similarity to ideal solution (TOPSIS) methods. Suitability classification of land was done in GIS by using the specified fuzzy membership functions. The weights of the main criteria and their sub-criteria were determined through the AHP method. Eight different zones were ranked according to agricultural development priority by the TOPSIS method. The area classified as suitable amounts to 27% of the total area with 0.07% classified as unsuitable. The highly suitable areas are mainly located in the north where there are villages specialised in agricultural production. The prioritisation of the suitable agricultural areas would assist in land use planning and urban management.



中文翻译:

使用 GIS 和多标准决策分析 (MCDA) 技术确定城郊地理中的农业适宜土地

土地利用适宜性分析对城市规划和管理具有重要意义。本研究的主要目标是利用地理信息系统 (GIS) 与多标准决策分析 (MCDA) 技术相结合,为城郊农业发展的土地适宜性评估开发空间模型。物理属性、土地利用、自然资源、可达性、地质和土壤特性被认为是影响研究区城郊农业土地适宜性的关键因素。该研究采用了一种综合方法,通过整合模糊逻辑模型、层次分析法 (AHP) 和通过与理想解决方案相似的顺序偏好技术 (TOPSIS) 方法,对伊斯坦布尔(土耳其)彭迪克区的农业发展适宜性进行评估。利用指定的模糊隶属度函数在GIS中进行土地适宜性分类。主要标准及其子标准的权重通过层次分析法确定。8 个不同的区域按照 TOPSIS 方法根据农业发展优先级排序。被归类为适宜的面积占总面积的 27%,其中 0.07% 被归类为不适宜。高度适宜的地区主要位于北部,那里有专门从事农业生产的村庄。合适的农业区的优先次序将有助于土地利用规划和城市管理。8 个不同的区域按照 TOPSIS 方法根据农业发展优先级排序。被归类为适宜的面积占总面积的 27%,其中 0.07% 被归类为不适宜。高度适宜的地区主要位于北部,那里有专门从事农业生产的村庄。合适的农业区的优先次序将有助于土地利用规划和城市管理。8 个不同的区域按照 TOPSIS 方法根据农业发展优先级排序。被归类为适宜的面积占总面积的 27%,其中 0.07% 被归类为不适宜。高度适宜的地区主要位于北部,那里有专门从事农业生产的村庄。合适的农业区的优先次序将有助于土地利用规划和城市管理。

更新日期:2021-06-23
down
wechat
bug