城镇住宅用地基准地价的内涝灾害影响修正系数研究——昆明市主城区的案例

A STUDY ON THE CORRECTION FACTOR FOR THE IMPACT OF FLOODING ON THE BENCHMARK LAND VALUE OF URBAN RESIDENTIAL LAND——CASES IN THE MAIN URBAN AREA OF KUNMING CITY

通过GIS技术与空间计量方法,研究者建立了两种地价影响因素的修正系数模型:网格地价模型和地理加权回归(GWR)模型。这些模型被用于昆明市主城区2015至2020年期间的地价交易数据,以定量评估内涝灾害对城市土地价格的影响。结果显示,内涝灾害普遍对地价产生负面影响。研究中,通过构建空间网格插值,引入了土地价值贡献剥离法,允许对内涝灾害的影响进行量化并与基准地价进行比较。这种方法提供了一种新的视角,用于评估和修正基准地价,明确了不同区域的地价修正系数。此外,该研究证实了利用定量模型对城市内涝灾害影响进行评估的有效性,克服了传统依赖定性判断的局限,为城市土地价值评估和灾害风险管理提供了科学依据。

Through GIS technology and spatial measurement methods,the researchers developed two models of correction coefficients for land price influencing factors:a grid land price model and a geographically weighted regression(GWR)model.These models were used on land price transaction data for the period from 2015 to 2020 in the main urban area of Kunming City to quantitatively assess the impact of flooding disasters on urban land prices.The results show that flooding disasters generally have a negative impact on land prices.In the study,a land value contribution stripping method was introduced by constructing a spatial grid interpolation,allowing the impact of flooding disasters to be quantified and compared with benchmark land prices.This method provides a new perspective for assessing and correcting the benchmark land value,clarifying the land value correction coefficients for different regions.In addition,the study confirms the effectiveness of using quantitative models to assess the impact of urban flooding disasters,overcoming the limitations of the traditional reliance on qualitative judgments and providing a scientific basis for urban land value assessment and disaster risk management.