摘要
随着社会大众对优质森林康养产品需求的不断增加,森林康养基地已成为最受欢迎的森林体验目的地之一。文章以广东省首批10个康养基地为研究对象,收集康养客群数量和康养客群出行大数据,通过栅格化、网格化统计与空间分布可视化方式,分析现阶段康养客群行为及其兴趣点时空分布特征。结果表明:1)受节假日、特色森林景观和气候舒适度的影响,康养基地兴趣点呈“秋冬旺、春夏淡”的时间特征。康养客群以半日活动为主,平均停留时长为4.96 h, 9∶00—11∶00活动频率较高。2)大部分基地的兴趣点呈“一核多点”的空间分布特征,且多生成于气候舒适和季相景观丰富的春季、秋季和冬季。3)康养客群更偏爱游乐型、运动型和文化型的康养活动,食宿型和疗养型活动参与度较低。基于研究结果,从森林资源保护利用、空间优化提升和康养产品开发等方面提出相关建议,以期为森林康养基地的高质量建设提供科学依据。
With the increasing demand of the public for high-quality forest therapy products,forest based health and wellness base has become one of the most popular destinations for forest experience.This paper uses big data collected about the number and user-generated content(UGC)of visitors to the first batch of 10 forest based health and wellness bases in Guangdong Province,to analyze their behaviors and the spatiotemporal distribution characteristics of their points of interests(POI)at the current stage by using the methods of grid statistics and spatial distribution visualization.The research shows:1)Affected by holiday,special forest landscape and climate comfort,the POIs in the bases exhibit a temporal characteristic of more visitors in autumn and winter and less visitors in spring and summer.Visitors to the bases would like to have half-a-day stay,averagely 4.96 h,and they have a higher activity frequency between 9:00-11:00 am;2)The POIs in the most bases display a spatial distribution characteristic of one core surrounded by multiple points,and are mostly generated in spring,autumn and winter which have better climate comfort and rich seasonal landscapes;and 3)Visitors prefer to participating in the recreational,sports,and cultural activities for forest therapy,and less participate in accommodation and recuperation activities.In view of the research results,suggestions are put forward from the aspects of the protection and utilization of forest resources,the spatial optimization and the development of forest therapy products,which are hoped to provide scientific evidences for high-quality construction of forest based health and wellness bases.
作者
钱万惠
胡熙滢
陈星澄
胡柔璇
罗皓
赵庆
Qian Wanhui;Hu Xiying;Chen Xingcheng;Hu Rouxuan;Luo Hao;Zhao Qing(Guangdong Academy of Forestry/Guangdong Provincial Key Laboratory of Silviculture,Protection and Utilization,Guangzhou 510520,China)
出处
《中国城市林业》
2023年第6期81-90,共10页
Journal of Chinese Urban Forestry
基金
广东省林业科技创新项目“城郊森林公园景观健康评价与精准提升技术研究”(2022KJCX009)和“珠三角森林城市群质量提升关键技术研究”(2021KJCX009)。
关键词
森林康养基地
UGC数据
兴趣点
时空行为特征
forest based health and wellness base
user generated content(UGC)data
point of interest(POI)
spatiotemporal characteristic of behavior