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Developing Conceptual Land Grade Model for Bench Mark Lease Price Determination using Fuzzy Analytical Hierarchy Process and GIS Approach: A Case of Woldiya City, Ethiopia

机译:使用模糊层次分析法和GIS方法开发基准地价确定概念性土地等级模型:以埃塞俄比亚Woldiya市为例

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Land grading plays a crucial role to develop appropriate benchmark lease prices. An efficient land grading system brings transparent and clear land marketing system. However, the existing land grading system of urban centers of Ethiopia has not been very successful in allowing the urban centers to benefit from the advantages of having an efficient land grading system. The major reasons for those limitations emanates from three main factors. The first reason is due to the fact that some major factors that have paramount importance for developing urban land grading had been left out. The second limitation is related to a methodological approach how land grade is prepared. In Ethiopia land grading is developed in the context of traditional urban land uses models. Yet, the notion of mono centric city concept (Burger’s 1925 model) is dominant. However, currently this model does not reasonably represent real land value patterns in urban Ethiopia. Thirdly, in Ethiopia, the conventional method used to prepare land grade map is manual and labor intensive due to this limitations most municipals are not in position to prepare predictable and flexible land grade map.Taking this gap into account, the objective of this research was to develop a predictable and flexible conceptual land grading model for improved land management system in urban areas. In this study three -stage methodologies were used. The first stage was focused in identifying influential factors that are used as input to develop conceptual land grading model. The second was about determining preference weight of criteria using FAHP method. The third method was aggregating the factor maps in arc GIS10.2 (map algebra) so as to create prototype land grading map. The developed conceptual model was found to be effective and has improved information gain compared to previous works. The study concluded that GIS approach is not only facilitate the organization and management of digital data layers but it also enable municipals to take full advantage of location information contained in databases that can support spatial decision making in land grading. The study also confirmed that FAHP model allows decision makers to give interval judgments, which can capture a human‘s appraisal of ambiguity when complex multi-attribute decision making approaches like land grade are involved.
机译:土地定级对于制定适当的基准租赁价格起着至关重要的作用。高效的土地定级系统带来透明,清晰的土地销售体系。然而,埃塞俄比亚城市中心现有的土地定级系统在使城市中心受益于拥有高效土地定级系统的优势方面并不是很成功。这些限制的主要原因来自三个主要因素。第一个原因是由于忽略了一些对于发展城市土地等级至关重要的主要因素。第二个局限性与土地等级准备的方法论方法有关。在埃塞俄比亚,土地定级是在传统的城市土地利用模型的背景下进行的。但是,以单中心城市概念(伯格1925年的模型)为主导。但是,当前该模型无法合理地代表埃塞俄比亚城市的实际土地价值模式。第三,在埃塞俄比亚,由于这种限制,大多数市政当局无法准备可预测和灵活的土地等级图,因此在埃塞俄比亚,传统的土地等级图制作方法是人工和劳动密集型的。考虑到这一差距,本研究的目的是开发可预测且灵活的概念性土地分级模型,以改善城市地区的土地管理系统。在这项研究中,使用了三阶段方法。第一阶段的重点是确定有影响力的因素,这些因素可以用作发展概念性土地定级模型的输入。第二个是关于使用FAHP方法确定标准的偏好权重。第三种方法是在弧GIS10.2(地图代数)中汇总因子图,以创建原型土地等级图。与以前的工作相比,已发现开发的概念模型是有效的,并且改善了信息获取。该研究得出的结论是,GIS方法不仅有助于数字数据层的组织和管理,而且还使市政当局能够充分利用数据库中包含的位置信息,这些信息可以支持土地定级的空间决策。研究还证实,FAHP模型允许决策者做出区间判断,当涉及复杂的多属性决策方法(如土地等级)时,就可以捕获人对歧义的评估。

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