风景名胜区附近住宅价值评估中的赫夫启发重力模型——基于地理加权回归的享乐模型

Jay Mittal, Sweta Byahut
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引用次数: 0

摘要

本研究使用享乐价格模型框架来评估保护地役权(CE)土地对马萨诸塞州伍斯特的单户住宅的边际隐含价格效应。随着从家到保护地役权地的视觉可达性越来越高,预计房价会上涨。这里感兴趣的CE土地是自愿保护的,私人拥有的风景优美的土地,位于马萨诸塞州伍斯特市的城市化地区。溢价和视觉可达性是通过周围住宅的交易以及住宅与CE用地的空间关系来衡量的。这些受保护的CE土地,其自然、历史和风景特色,对寻求环境美化的人士具有吸引力。由于受保护土地的视觉可达性,房屋溢价被资本化,使用“视野”和“接近”的综合加权指标来衡量。这是利用赫夫重力模型启发指数——重力启发可见性指数(GIVI)开发的。首先,生成一个详细的数字高程模型(DEM)栅格,将所有遮挡视线的建筑物和物理结构与地形表面拼接在一起,然后使用ArcGIS中的Viewshed分析,使用房屋到风景名胜的视野和距离生成GIVI。然后采用基于地理加权回归(GWR)的hedonic模型来衡量每个家庭的距离和风景景观的综合效应。全球(调整后R sq =0.52, AICc =29,828)和地理加权回归(GWR)模型(调整后R sq = 0.59, AICc =29,729)都估计了价格效应,GWR模型优于全球模型。GWR模型的结果表明,研究区域的房屋均价平均溢价为3.4%。在GWR模型中,住宅溢价的空间变化(作为百分比值)也更清晰,更具有空间聚集性。样本中选定住宅的最高溢价高达平均房价的34.6%。这是对保存的风景园地的视觉可达性的重要影响。本研究为评估土地保护对土地利用规划、土地保护和房地产估价的影响提供了一个有用的框架。它还为保护机构、地方政府、专业规划师和房地产专业人士提供了有用的见解,以优先考虑风景优美的土地。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Huff Inspired Gravity Model in Valuation of homes near Scenic lands -- A geographically weighted regression based hedonic model
This research uses a hedonic Price modelling framework to assess the marginal implicit price effect of conservation easements (CE) lands on single family houses in Worcester, MA. The house price premium is anticipated with the growing visual accessibility from home to conservation easements lands. The CE lands of interest here are voluntarily protected, privately owned, scenic lands and are based in the urbanized area of City of Worcester, MA. The premium, and the visual accessibility was measured using the transaction of the surrounding homes, and homes spatial relationship with the CE lands. These protected CE lands are perpetually protected with natural, historic, and scenic characteristics that are attractive to the environmental amenity seekers. The home premiums as capitalized due to the visual accessibility of protected lands was measured using a combined weighted measure of ‘view’ and ‘proximity.' This was developed using the Huff's gravity model inspired index -- Gravity Inspired Visibility Index (GIVI). First, a detailed digital elevation model (DEM) raster with all view obstructing buildings and physicals structures stitched an the topography surface was generated and then the views and distances from homes to scenic lands were used to generate the GIVI, using the Viewshed analysis in ArcGIS. The geographically weighted regression (GWR) based hedonic model was then employed to measure the combined effect of both -- distance and view of scenic lands from each homes. Both the global (adjusted R sq =0.52, AICc =29,828) and the geographically weighted regression (GWR) models (adjusted R sq = 0.59, AICc =29,729) estimated the price effect, and the GWR model outperformed the global model. The results from the GWR model indicated an average 3.4% price premium on the mean value of homes in the study area. The spatial variation in home premiums (as percentage values) was also found clearer and more spatially clustered in the GWR model. The highest premium value for select homes in the sample was found to be as high as 34.6% of the mean home price. This is a significant effect of visual accessibility to the preserved scenic lands for land conservation. This research offers a useful framework for evaluating the effect of land protection for land use planning, land conservation and for real estate valuation purposes. It also offers useful insights for conservation agencies, local governments, professional planners, and real estate professionals for prioritizing land sites with scenic views.
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