利用地理加权回归(GWR)分析三宝垄市新邦利马中央商务区(CBD)周边地区的土地价值

F. J. Amarrohman, Yasser Wahyuddin, Ellena Patricia
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引用次数: 0

摘要

根据三宝垄市 2011-2031 年区域空间规划(RTRW),新邦利马周边地区属于城市 1 区,具有中央商务区(CBD)的功能。Losch(1954 年)认为,如果地块远离中央商务区,其价值往往会下降。因此,本研究调查了土地价值的变化与辛邦利马中央商务区周围是否存在中央商务区之间的关系。本研究采用的方法包括计算平均指示价值(NIR)、分析 2012-2023 年的地价变化以及地理加权回归(GWR)。根据对 2012-2023 年土地价值变化的分析,2012-2018 年土地价值变化最大的区域是第 166 区,增加了 2044.6 万印尼盾,土地价值变化最小的区域是第 163 区,减少了 395.6 万印尼盾。同时,2018-2023 年地价变化最大的区域是第 84 区,增加了 2885.2 万印尼盾,地价变化最小的区域是第 37 区,增加了 21.7 万印尼盾。使用 GWR 进行统计检验的结果表明,与中央商务区的距离对 2012-2023 年土地价值变化的影响为 84%,表明两者之间具有高度相关性。对各变量进行 T 检验的结果表明,对土地价值变化影响较大的变量是购物中心和道路宽度。购物中心呈负相关。另一方面,道路宽度呈正相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Land Value in the Area Surrounding the Central Business District (CBD) of Simpang Lima, Semarang City Using Geographically Weighted Regression (GWR)
According to the Regional Spatial Plan (RTRW) for the City of Semarang in 2011–2031, the area around Simpang Lima is part of City Area 1, with a function as the Central Business District (CBD). Losch (1954) suggests that the value of a parcel of land tends to decrease if it is away from the central business area. Therefore, this study investigated the relationship between changes in land value and the presence of CBD around the Simpang Lima CBD. The methods employed in this study are the calculation of the Average Indicated Value (NIR), analyzing changes in land value in 2012–2023, and the Geographically Weighted Regression (GWR). Based on an analysis of changes in land value for 2012–2023, it shows that the highest change in land value zone for 2012–2018 was in zone 166, with an increase of IDR 20,446,000, and the lowest change in land value was in zone 163, with a decrease of IDR 3,956,000. Meanwhile, the highest change in land value zone for 2018–2023 was in zone 84, with an increase of IDR 28,852,000, and the lowest change in land value was in zone 37, with an increase of IDR 217,000. The results of statistical tests using GWR show that the influence of the distance from the CBD on changes in land values in 2012–2023 is 84%, indicating a high correlation. The results of the T-test performed on each variable indicate that the variables significantly influencing changes in land value are shopping centers and road widths. Shopping centers have a negative correlation. On the other hand, the road width is positively correlation.
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