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东昌湖景区旅游服务设施空间分布特征研究

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针对景区旅游服务设施分布是否合理的问题,基于POI数据,运用最邻近指数、核密度分析、标准差椭圆分析和空间相关性分析,结合百度地图热力图所反映的人口集聚情况,对聊城市东昌湖风景区旅游服务设施空间分布特征进行研究。结果表明:购物与餐饮设施的分布数量最多,占各类设施数量的53。42%和 28。57%,最邻近指数分析显示各类设施分布类型均为集聚型(R<1);各类设施以东昌湖东北部区域为集中分布区且在空间上有明显的重合现象,景区西南方向的设施分布与相邻区域形成了严重断层现象;各类设施的空间分布中心较分散,配套设施服务范围最广,占总体面积的 24。4%,购物设施的方向性较弱,椭圆扁率为 0。09;不同旅游服务设施在空间分布上具有较强的相关性,餐饮、娱乐和购物设施与其他各类服务设施相关性较高;各类设施与人口热度显著相关,对工作日人口热度贡献率最大的是配套设施,购物设施对休息日人口热度的贡献率最大。
Study on the Spatial Distribution Characteristics of Tourism Service Facility in Dongchang Lake Scenic Area
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.

tourismfacilityPOIBaiduheat mapDongchang Lake

冯国庆、褚蓉蓉、刘慧娇、董家鑫、高祥斌

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聊城大学农学与农业工程学院, 山东 聊城 252059

旅游 设施 POI 百度 热力图 东昌湖

山东省重点研发计划项目聊城大学科研项目

2019GNC21410318011903

2024

西南林业大学学报
西南林业大学

西南林业大学学报

CSTPCD北大核心
影响因子:0.773
ISSN:2095-1914
年,卷(期):2024.8(2)
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