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Development of an Innovative Land Valuation Model (iLVM) for Mass Appraisal Application in Sub-Urban Areas Using AHP: An Integration of Theoretical and Practical Approaches

机译:开发利用AHP的亚城区大规模评估申请的创新土地估值模型(ILVM):融合理论与实践方法

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Land development in sub-urban areas is more frequent than in highly urbanized cities, causing land prices to increase abruptly and making it harder for valuers to update land values in timely manner. Apart from this, the non-availability of sufficient reliable market values forces valuers to use alternatives and subjective judgement. Land value is critical not only for private individuals but also for government agencies in their day-to-day land dealings. Thus, mass appraisal is necessary. In other words, despite the importance of reliable land value in all aspects of land administration, valuation remains disorganized, with unregulated undertakings that lack concrete scientific, legal, and practical foundations. A holistic and objective way of weighing geospatial factors through expert consultation, legal reviews, and evidence (i.e., news) will provide more realistic results than a regression-based method that does not comprehend valuation factors (i.e., physical, social, economic, environmental, and legal aspects). The analytic hierarchy process (AHP) enables these factors to be included in the model, hence providing a realistic result. The innovative land valuation model (iLVM), developed in this study, is an inclusive approach wherein experts are involved in the selection and weighing of 15 factors through the AHP. The model was validated using root mean squared error (RMSE) and compared with multiple regression analysis (MRA) through a case study in Baybay City, Philippines. Based on the results, the iLVM (RMSE = 0.526) outperformed MRA (RMSE = 1.953).
机译:子城市地区的土地发展比高度城市化的城市更频繁,导致土地价格突然增加,并使估值师及时更新土地价值。除此之外,足够可靠的市场价值观的不可用力迫使估值师使用替代品和主观判断。土地价值不仅适用于私人,而且对其日常土地交易中的政府机构也至关重要。因此,需要大规模评估。换句话说,尽管土地管理的各个方面具有可靠的土地价值的重要性,但估值仍然有混乱,不受管制的经营企业缺乏具体的科学,法律和实践基础。通过专家咨询,法律评论和证据(即新闻)来称重地理空间因素的整体和客观方式将提供比不理解估值因素的回归的方法(即物理,社会,经济,环境的基于回归的方法提供更现实的结果和法律方面)。分析层次处理(AHP)使得这些因素能够包含在模型中,因此提供了逼真的结果。在本研究中开发的创新土地估值模型(ILVM)是一种包容性方法,其中专家参与通过AHP选择和称重15个因素。使用根均方误差(RMSE)验证该模型,并通过菲律宾海湾城市的案例研究与多元回归分析(MRA)进行比较。基于结果,ILVM(RMSE = 0.526)优于MRA(RMSE = 1.953)。

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