| 摘要: |
| 在徒步过程中，景观感知的体验是影响徒步者线路选择结果的重要因素，所以在步道选线时，了解徒步者的景观感知偏好可以进一步促进步道资源的可持续使用。但在徒步者的景观感知偏好研究中，主流的专家法存在同质化的隐患，也忽略了实际使用者的意见。选取中国国家登山健身步道系统（NTS）中最早投入使用的浙江宁海国家登山健身步道为研究对象，收集包括线路景点坐标和徒步论坛中徒步者共享的轨迹沿途照片在内的步道的自发地理信息（VGI）数据，利用泰森多边形，提取分析步道中照片分布的景点热度，从中选取24个热度最高线路景点，分析宁海步道中具体的景观偏好。进而借助NVivo质性分析软件提取自由节点和归纳树状节点，获得徒步者印象深刻的景观元素。最后对照相应的轨迹沿途照片寻找感知刺激点（PEN），明晰引发徒步者景观偏好的具体景观资源，以支撑对步道的景观资源进行针对性的优化提升。 |
| 关键词: 风景园林 步道 景观感知 地理信息系统 图像质性分析 |
| DOI：10.14085/j.fjyl.2020.08.0103.06 |
| 分类号:TU986.2 |
| 基金项目:国家自然科学基金（编号 51978448）；高等学校学科创新引智计划（编号 B13011） |
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| Hikers’ Preference on Landscape Resources of NTS Ninghai Through VGI Data Analysis |
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MENG Chunxia, HE Jie
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Tianjin University
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| Abstract: |
| The experience of landscape perception is an important factor influencing hikers’ choices of trails during hiking. Understanding the preferences of landscape perception of hikers is a key to promote sustainable use of the trail resources when planning a new trail. However, the popular expert-based approach is criticized in the validity of studying preferences of landscape perception of hikers for the shortcoming of homogenization, which has ignored the opinions of actual users. This paper focuses on the National Trails System Ninghai (NTS Ninghai) of Zhejiang Province, the earliest NTS trail in China. First, the volunteered geographic information (VGI) of NTS Ninghai was collected via data crawling technology, including the coordinates of the line spots and photos shared by the hikers. Then Theisen polygon was introduced to extract and analyze the hot spots from distribution of all the photos in the trails. A total of 24 hot scenic spots were selected as typical landscapes in NTS Ninghai. Based on the selected photos of the hot spots, NVivo qualitative analysis software was applied to elicit the free nodes and inductive tree nodes, and consequently identified the landscape elements that were most impressive for the hikers. Finally, the perceptually exciting nodes (PEN) were identified from photos along the corresponding trails and trajectories. Using PEN can derive the specific landscape resources that cause hikers’ landscape preferences, and support optimization and improvement of landscape resources of the trails. |
| Key words: landscape architecture hiking trail landscape perception GIS image qualitative analysis |
