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作 者:姚侨峰 李娜 Yao Qiaofeng;Li Na(School of Physical Education,Hubei University,Wuhan 430062,China)
出 处:《体育科技文献通报》2025年第1期123-127,共5页Bulletin of Sport Science & Technology
基 金:国家社会科学基金项目(项目编号:22CTY006)。
摘 要:本文以户外徒步圣山——四姑娘山景区为例,通过“两步路”平台检索徒步游客轨迹信息,结合OSM路网数据以及旅游景点POI数据,以季节强度指数、核密度、在离轨分析山地户外型目的地徒步游客时空行为特征。研究发现:(1)年内,受节庆和气候因素影响,徒步游客分布季节性明显,以秋季为主,春夏次之,冬季最末;(2)日内,徒步活动节奏以移动状态为主,徒步游客受就餐、去洗手间等生理活动影响较小,受时间、体力、安全等主客观因素影响较大,徒步活动持续时间普遍较长,结束时间普遍较早,日间活动表现出“单峰”结构;(3)空间移动上,游客在山地徒步中会形成典型的等级分化和节点分离特征,开发完善适合观光游,半开发状态适合生态游,较为原始的适合探险游,并随着距离的增加分离徒步人群。(4)徒步游客在轨率高,对道路依赖性较强,沿路网围绕旅游景点呈线状集聚分布特征,但路网与景点的空间距离较大,出现一定的离轨轨迹,造成景点泛化。In this case study of the Siguniang Mountain Scenic Area,a renowned outdoor hiking destination,the trajectory information of hiking tourists was retrieved through the www.2bulu.com platform and combines it with OpenStreetMap(OSM)road network data and Point of Interest(POI)data of tourist attractions.The spatio-temporal behavioral characteristics of mountain outdoor destination hiking tourists are analyzed using seasonal intensity index,kernel density,and on-off track analysis.The findings of this study are as follows:(i)Annually,influenced by festivals and climate factors,the distribution of hiking tourists exhibits distinct seasonal patterns,with autumn being the peak season,followed by spring and summer,and winter being the least active.(ii)Daily,the rhythm of hiking activities is dominated by the moving state.Hiking tourists are minimally affected by physiological activities such as having meals and using restrooms but are significantly influenced by subjective and objective factors such as time,physical strength,and safety.The duration of hiking activities is generally long,and the end time is typically early,presenting a“single-peak”structure in daily activities.(iii)In terms of spatial movement,tourists develop typical hierarchical differentiation and node separation characteristics during mountain hiking.Developed and well-equipped areas are suitable for sightseeing tours,semi-developed areas for ecological tours,and more pristine areas for adventure tours.As the distance increases,the hiking population segregates.(iv)Hiking tourists have a high on-track rate and a strong reliance on roads,showing a linear aggregation distribution along the road network around tourist attractions.However,the spatial distance between the road network and the attractions is considerable,resulting in certain off-track trajectories and causing the generalization of attractions.
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