西南林业大学学报2024，Vol.8Issue(2)：103-112,10.
东昌湖景区旅游服务设施空间分布特征研究
Study on the Spatial Distribution Characteristics of Tourism Service Facility in Dongchang Lake Scenic Area
摘要
Abstract
In order to explore whether the distribution of tourism service facilities in scenic spots is reasonable,the paper is based on POI data,using nearest neighbor index,kernel density analysis,standard devia-tion ellipse analysis and Spatial Correlation Analysis,combined with the population gathering reflected by Baidu heat map to study the spatial distribution characteristics of tourism service facilities in Dongchang Lake Scenic Area of Liaocheng City and drew the following conclusions:The distribution of shopping and dining facilities was the lar-gest,accounting for 53.42%and 28.57%of all types of facilities,and the nearest neighbor index shows that the distribution type of all types of facilities is agglomerative(R<1);all kinds of facilities are concentrated in the northeast area of Dongchang Lake,and there are obvious overlapping phenomena in space,and the distribution of facilities in the southwest direction of the scenic spot and the adjacent area forms a serious fault phenomenon;the spatial distribution center of each type of facility is more dispersed,the supporting facilities serve the widest area,accounting for 24.4%of the overall area,and the shopping facilities are less directional,with an elliptical flatness of 0.09;different tourism service facilities have a strong correlation in spatial distribution,and dining,entertain-ment and shopping facilities have a high correlation with other types of service facilities;various facilities are signif-icantly related to population heat,with supporting facilities contributing the most to the population heat on week-days,and shopping facilities contributing the largest to population heat on rest days.关键词
旅游/设施/POI/百度/热力图/东昌湖Key words
tourism/facility/POI/Baidu/heat map/Dongchang Lake分类
管理科学引用本文复制引用
冯国庆,褚蓉蓉,刘慧娇,董家鑫,高祥斌..东昌湖景区旅游服务设施空间分布特征研究[J].西南林业大学学报,2024,8(2):103-112,10.基金项目
山东省重点研发计划项目(2019GNC21410)资助 （2019GNC21410）
聊城大学科研项目(318011903)资助. （318011903）
