基于多源数据的霞浦县滩涂摄影游客时空行为特征研究

刘雅静 薛秋华

摘 要：【目的/意义】乡村旅游是推动乡村振兴的重要战略之一。通过对霞浦县滩涂摄影游客时空行为特征的探索研究，为霞浦县滩涂摄影旅游项目开发、游览路线设计及旅游发展规划提供数据支撑。【方法/过程】以2006-2019年Flickr和蜂鸟网的摄影图片为数据源，运用时间统计分析、社会网络分析和核密度分析对霞浦县滩涂摄影游客的时空行为特征进行研究。【结果/讨论】结果表明：北岐处于霞浦摄影旅游系统的中心地位;“北岐-小皓”构成了霞浦游客移动的主要通道;霞浦县旅游淡旺季区分明显，晨昏时刻是游客活动高峰期，其他时段旅游体验感较弱;霞浦旅游资源空间结构尚未形成真正意义上的旅游中心，道路交通限制了摄影低热点区域的发展。

关键词：多源数据;游客时空行为;霞浦滩涂

中图分类号：F592.7文献标志码：A文章编号：1637-5617（2021）02-0044-06

Abstract： 【Objective/Meaning】The rural tourism is one of the important strategies to promote the rural revitalization. The exploration and research on the temporal and spatial behavior characteristics of beach photography tourists in Xiapu County aimed to provide the data support for the project development of beach photography tourism， the design of tourist routes and the planning of tourism development in Xiapu County. 【Methods/Procedures】By taking the pictures on Flickr and Fengniao in 2006-2019 as the data sources， the temporal and spatial behavior characteristics of beach photography tourists in Xiapu County were studied by using the time statistical analysis， social network analysis and kernel density analysis. 【Results/Conclusions】The results showed that： Beiqi was in the central position of photography tourism system in Xiapu; “Beiqi-Xiaohao” constituted the main channel for the tourists movement in Xiapu; There was a clear division between the peak and low seasons of tourism， the morning and dusk were the peak periods of tourist activities， while the sense of tourism experience in other periods was weak; The spatial structure of tourism resources in Xiapu has not formed a real tourism center， and the road traffic has limited the development of low-hot photography areas.

Key words： multi-source data; the spatial and temporal behavior characteristics of tourists; beach in Xiapu

乡村旅游是推动乡村振兴的重要战略之一，对于乡村产业结构的优化，乡村经济的复苏都具有重要的现实意义[1]。与此同时，游客的摄影行为更加频繁地发生在乡村旅游活动之中，因而具有重要的研究价值。摄影一直被视为抄写“现实”的一种手段，形成了一种新的“看的方式”[2]。旅游图片可以作为补充数据，用于说明和解释旅游体验及旅游环境相关的各个方面[3]。摄影旅游者的拍摄时间、拍摄地点可以反映其时空行为特征和景观偏好，这些信息被数码设备储存于摄影图片中。Wood等人[4]利用社交媒体上的地理标记照片的踪迹来解释人们的空间行为，发现基于人群的数据可以替代传统的时间和劳动密集型的经验估计，因此，允许用户上传摄影图片的社交平台提供了一个可公开获取的数据库。……