基于空间计量的酒店价格空间分异及其影响因子研究*——以厦门岛为例
Spatial Variance of Hotel Price Based on Spatial Measurement and Its Influencing Factors: A Case Study of Xiamen Island
李 渊
厦门大学建筑与土木工程学院 教授，博士
张文浩
厦门大学建筑与土木工程学院
姚成威
厦门大学建筑与土木工程学院
张曦予
厦门大学建筑与土木工程学院
胡晓丹
厦门大学建筑与土木工程学院
薛燕府
厦门大学建筑与土木工程学院
摘要: 酒店价格差别的产生具有多层次的原因，酒店的空间分布也呈现较强的非均衡性。试图在传统分析方法的基础上纳入空间因素，建立以厦门岛酒店价格为研究对象的空间计量模型，探索厦门岛酒店价格空间分异的特征及其形成的机制。结果研究发现：①厦门岛酒店价格存在于以中山路、大学路、会展、五缘湾及白鹭洲为中心形成的5大高价区，以及火车站、曾厝垵、中部片区、高崎为中心形成的4大低价区，同时呈现出显著的空间自相关性；②实证分析同时发现厦门岛酒店价格受客房面积、酒店服务、酒店类型、景点指数、酒店评分5个变量的综合影响，并在不同的区域间存在差异性；③通过将酒店服务和客房面积作为局部回归因子，GWR模型揭示了两者的空间非平稳性，在厦门岛不同区域表现出不同的特征。研究意义在于增加了传统酒店价格模型的解释力度，针对酒店价格管理进行了政策建议分析，同时对于酒店价格空间特征形成机制的分析适用于其他旅游区的研究。
Abstract: In view of the shortcomings of traditional analysis methods, this paper researches Xiamen Island hotel prices, collects their space and attribute information, and comprehensively uses spatial autocorrelation test, geographic weighted regression model, spatial error model and spatial lag model in spatial measurement to explore spatial distribution and price impact characteristics of Xiamen Island hotels. The results show five high-priced areas and four low-priced areas with significant spatial autocorrelation. The analysis also reveals that Xiamen Island hotel prices are affected by five variables (room size, hotel service, hotel type, attraction index, and hotel rating). By taking hotel service and room size as local regression factors, GWR model further reveals their spatial discontinuity, representing different characteristics in various areas. The research contribution is to enhance the interpretation of the traditional hotel price model, conduct policy analysis for hotel price management, which would be referential for other tourist areas.
关键词：酒店价格 | 空间计量 | 厦门岛 | GIS | 空间分析
Keyword: Hotel price | Spatial measurement | Xiamen Island | GIS | Spatial analysis
中图分类号：TU981
文献标识码: A
资金资助
国家自然科学基金面上项目 “基于行为分析的景区人流模拟与空间优化——GPS与问卷结合的研究” 41671141
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