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首页> 外文期刊>International Journal of Spatial Data Infrastructures Research >Enhancing Spatial Data Accessibility in Ghana: Prioritization of Influencing Factors Using AHP
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Enhancing Spatial Data Accessibility in Ghana: Prioritization of Influencing Factors Using AHP

机译:加强加纳的空间数据可访问性:使用AHP优先考虑影响因素

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The Analytic Hierarchy Process (AHP) is a general problem-solving method that is useful in making complex, multi-criteria and multi-stakeholder decisions based on variables that have or do not have exact numerical consequences. AHP was applied to structure a multi-criteria decision problem regarding access to spatial data in Ghana; and to determine the priorities of spatial data accessibility components and influencing factors. A three-level AHP structure was constructed to examine the spatial data access problem, with a main objective, four sub-objectives and five alternatives. Spatial data accessibility was decomposed into four components (discoverability, retrievability, usability and affordability) which were used as sub-objectives (criteria). More so, spatial data access is mediated by affective factors (institutional, technical, policy/legal, socio-cultural and economic) which were used as alternatives. Fifty individuals from twenty four organizations were interviewed and later engaged in focus-group discussion to generate weights (priorities) for the accessibility components and the alternatives. The results provide both qualitative and quantitative information to decision makers regarding the spatial data access problem and their priorities from the perspective of enhancing access to spatial data. Regarding accessibility components (objectives), discoverability and retrievability had the highest priorities while technical and institutional issues had the highest priorities with regard to the affective factors. Considering the overall impact on the main objective and in the face of limited resources, it is concluded that improvement in the technical and institutional environment with the view to improving discoverability and retrievability require the highest priority in order to enhance access to spatial data in Ghana.
机译:层次分析法(AHP)是一种通用的解决问题的方法,可用于根据具有或不具有精确数值后果的变量做出复杂,多标准和多利益相关方的决策。层次分析法(AHP)被用于构建关于加纳空间数据访问的多准则决策问题;并确定空间数据可访问性组件的优先级和影响因素。构建了一个三级AHP结构来检查空间数据访问问题,该结构具有一个主要目标,四个子目标和五个备选方案。空间数据可访问性被分解为四个部分(可发现性,可检索性,可用性和可负担性),这些部分被用作子目标(标准)。更重要的是,空间数据访问是由情感因素(制度,技术,政策/法律,社会文化和经济)介导的,这些情感因素被用作替代手段。采访了来自24个组织的50个人,随后进行了焦点小组讨论,以得出可访问性组件和替代组件的权重(优先级)。从增强对空间数据的访问的角度来看,结果为决策者提供了有关空间数据访问问题及其优先级的定性和定量信息。关于可访问性组件(目标),就情感因素而言,可发现性和可检索性具有最高优先级,而技术和体制问题则具有最高优先级。考虑到对主要目标的总体影响以及资源有限的情况,得出的结论是,为了改善可发现性和可检索性,改善技术和体制环境是最高优先事项,以便增加对加纳的空间数据的访问。

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