基于空间特征价格模型的酒店房价影响因素空间差异性分析  

Analysis on spatial differences of influencing factors of hotel room price based on s-HPM model

作　　者：蔡文香 卢万合[2] 于国强[2] 甘静[2] 王丹[2] 潘茹萍 许佳慧 CAI Wen-xiang;LU Wan-he;YU Guo-qiang;GAN Jing;WANG Dan;PAN Ru-ping;XU Jia-hui(School of Mathematics,Jilin Normal University,Siping 136000,China;School of Tourism Management and Geography,Jilin Normal University,Siping 136000,China)

机构地区：[1]吉林师范大学数学学院,吉林四平136000 [2]吉林师范大学旅游与地理科学学院,吉林四平136000

出　　处：《吉林师范大学学报（自然科学版）》2022年第3期55-61,共7页Journal of Jilin Normal University:Natural Science Edition

基　　金：国家自然科学基金项目(11571138)。

摘　　要：采用空间特征价格模型,以上海市星级酒店为例,分析了酒店房价影响因素的空间差异性特征.结果表明:影响因素对酒店房价的影响方向、程度呈现出显著的差异,其中酒店等级、服务质量、客房数量、距机场距离4个变量的影响是正向的,距火车站距离、距汽车站距离、距CBD距离3个变量的影响是负向的;影响因素影响程度呈现出显著的“中心-外围”特征,其中酒店等级、服务质量、距火车站、距汽车站距离呈现出明显的“中心高,外围低”的趋势,客房数量、距CBD距离呈现出“中心-外围”反向分布特征,中心为负向影响,外围为正向影响,且在负向影响区域呈现出“中心高,外围低”的趋势.Taking star hotels in Shanghai as an example,s-HPM model was used to analyze the spatial differences of influencing factors of hotel price in this article.The results showed that the influencing factors have significant differences in the direction and degree of influencing hotel price.The four variables of hotel grade,service quality,number of rooms and distance from airport have positive effects.While the three variables of distance from railway station,bus station and CBD have negative effects.The influence degree of influencing factors shows a significant“center-periphery”feature,in which hotel grade,service quality,distance from railway station and bus station shows a clear“high center,low periphery”trend.The number of guest rooms and the distance from CBD show a reverse distribution of“center-periphery”.The center has a negative effect,while the periphery has a positive effect.In the negative impact area,there is a trend of“high center,low periphery”.

关 键 词：酒店房价 空间特征价格模型 影响因素 空间差异性 

分 类 号：O213[理学—概率论与数理统计]