基于GWR的酒店与风景名胜POI空间依存性研究——以青岛市为例
A GWR-Based Study on Spatial Dependence between Hotel and Scenic POI—A Case Study of Qingdao
DOI: 10.12677/GSER.2023.121001, PDF,   
作者: 刘蕾蕾:曲阜师范大学,地理与旅游学院,山东 日照
关键词: 酒店POI风景名胜POIGWR空间依存性Hotel POI Scenic POI GWR Spatial Dependence
摘要: 以青岛市7区3市为研究对象,采用核密度估计、空间自相关、OLS模型与GWR模型等方法,分析青岛市酒店与风景名胜POI的空间集聚特征,并进一步探究酒店与风景名胜POI空间依存性。结果表明:1) 酒店在空间上呈现大核心集聚、小核心分散的集聚模式,风景名胜POI在空间上呈现多核心集聚模式,酒店与风景名胜POI空间集聚区域重合度较高,表现出一定空间依存性;2) 青岛市酒店与风景名胜POI存在空间依存性且具有地区差异性,其中市南区与市北区酒店与风景名胜POI空间依存性最高;3) 不同类型风景名胜POI与酒店空间依存程度不同。公园小类POI、广场小类POI、寺庙教堂小类POI以及旧址纪念堂小类POI与酒店在空间依存关系上基本呈正相关,而旅游景点小类POI和风景名胜小类POI与酒店在空间关系上基本呈负相关。研究结果对未来酒店区位选址与城市旅游业合理布局有着重要意义。
Abstract: Taking 7 districts and 3 cities of Qingdao as the research object, this paper analyzes the spatial agglomeration characteristics of hotels and scenic POI in Qingdao by using kernel density estimation, Moran’s I, ordinary least squares and geographically weighted regression, and further explores the spatial dependence of hotels and scenic POI. The results show that: 1) the hotel presents the spatial agglomeration pattern of large core agglomeration and small core dispersion agglomeration pattern, while the scenic POI presents the spatial agglomeration pattern of multi-core agglomeration. The hotel and the scenic POI have a high coincidence degree, showing a strong spatial dependence initially. 2) There is spatial dependence between hotels and scenic POI in Qingdao, the spatial dependence also has regional differences, among which the spatial dependence between hotels and scenic POI in Shinan district and Shibei district is the highest; 3) Different types of scenic POI and hotels have different spatial dependence degrees. Among the six subcategories, park POI, square POI, temple and church POI, old site memorial hall POI are basically positively correlated with the hotel in terms of spatial dependence, while tourist attraction POI and scenic spot POI are basically negatively correlated with the hotel in terms of spatial dependence. The results of this study are of great significance to the location selection of hotels and the rational layout of urban tourism in the future.
文章引用:刘蕾蕾. 基于GWR的酒店与风景名胜POI空间依存性研究——以青岛市为例[J]. 地理科学研究, 2023, 12(1): 1-11. https://doi.org/10.12677/GSER.2023.121001

参考文献

[1] Medlik, S. (1966) Market Feasibility Approach to Hotel Location. The Tourist Review, 21, 141-148. [Google Scholar] [CrossRef
[2] 罗浩, 杨旸. 基于产业空间组织理论和空间计量方法的城市酒店区位研究[J]. 旅游学刊, 2011, 26(12): 71-77.
[3] Arbel, A. and Pizam, A. (1977) Some Determinants of Urban Hotel Location: The Tourists’ Inclinations. Journal of Travel Research, 15, 18-22. [Google Scholar] [CrossRef
[4] Egan, D.J. and Kevin, N. (2000) Towards a Theory of Interurban Hotel Location. Urban Studies, 37, 611-621. [Google Scholar] [CrossRef
[5] Urtasun, A. and Gutierrez, I. (2006) Hotel Location in Tourism Cities: Madrid 1936-1998. Annals of Tourism Research, 33, 382-402. [Google Scholar] [CrossRef
[6] Cróand, S. and Martins, A.M. (2018) Hotel and Hostel Location in Lisbon: Looking for Their Determinants. Tourism Geographies, 20, 504-523. [Google Scholar] [CrossRef
[7] Shoval, N., Mckercher, B., Ng, E., et al. (2011) Hotel Location and Tourist Activity in Cities. Annals of Tourism Research, 38, 1594-1612. [Google Scholar] [CrossRef
[8] Masiero, L., Yang, Y. and Qiu, R.T. (2019) Understanding Hotel Location Preference of Customers: Comparing Random Utility and Random Regret Decision Rules. Tourism Management, 73, 83-93. [Google Scholar] [CrossRef
[9] Aksoy, S and Ozbuk, M.Y. (2017) Multiple Criteria Decision Making in Hotel Location: Does It Relate to Postpurchase Consumer Evaluations? Tourism Management Perspectives, 22, 73-81. [Google Scholar] [CrossRef
[10] 王亚辉, 王亚力, 刘俊雅, 等. 改革开放40年来湖南酒店业的时空演变及其影响因素[J]. 经济地理, 2021, 41(6): 136-146.
[11] 闫丽英, 韩会然, 陈婉婧, 等. 北京市住宿业空间分布格局及影响因素研究[J]. 经济地理, 2014, 34(1): 94-101.
[12] 查爱苹, 徐娜, 后智钢. 经济型酒店微观选址适宜性研究——以上海中心城区锦江之星为例[J]. 人文地理, 2017, 32(1): 152-160.
[13] 赵海溶, 陆林. 上海市住宿接待业的空间格局差异及影响因素——基于传统酒店与共享住宿(Airbnb)的比较分析[J]. 经济地理, 2021, 41(11): 232-240.
[14] 王娟, 李亚娟, 吕丽, 等. 基于互联网数据的住宿业竞争力及其空间格局——以武汉主城区高端酒店为例[J]. 地理科学进展, 2018, 37(10): 1405-1415.
[15] 童昀, 马勇, 刘军, 等. 大数据支持下的酒店业空间格局演进与预测: 武汉案例[J]. 旅游学刊, 2018, 33(12): 76-87.
[16] 赖长强, 巫细波. 基于GIS方法的特大型城市酒店空间布局特征研究——基于广州酒店POI数据分析[J]. 现代城市研究, 2019(8): 66-74.
[17] 龙飞, 刘家明, 朱鹤, 等. 长三角地区民宿的空间分布及影响因素[J]. 地理研究, 2019, 38(4): 950-960.
[18] 吴庆双, 卢扬丽. 基于POI数据的安徽省酒店空间分布特征与影响因素研究[J]. 安徽师范大学学报(自然科学版), 2018, 41(5): 482-488.
[19] 陈洪星, 杨德刚, 徐红涛, 等. 基于POI的住宿业时空格局演化及与旅游景点的空间关联研究[J]. 干旱区地理, 2020, 43(5): 1382-1390.