摘要
科学测度旅游资源点与游客兴趣点的空间匹配关系,是自驾游风景道选线和区域旅游生产力布局优化的关键技术环节。研究引入空间匹配理论,融合多元数据,尝试构建风景道空间匹配选线法(Spatial Matching for Scenic Byway, SMSB)。首先,运用GIS分析方法识别旅游资源点和游客兴趣点的空间集聚特征和分布模式,利用空间匹配测算模型评估二者的空间匹配度,划分匹配类型。其次,综合考虑地形坡度、土地利用类型、生态敏感性等限制性因素,通过加权叠加分析构建风景道选线适宜性评价指标体系,划分空间适宜度分区。再次,将自驾游游客兴趣点、OSM路网和旅游资源点数据依次栅格化叠加,生成节点栅格,结合现状评估筛选出空间节点。最后,基于上述三个步骤的结果——空间匹配度、空间适宜度和空间节点,在现有路网的基础上进行自驾游风景道选线规划。通过闽西地区的实证检验发现:SMSB选线法克服了传统风景道选线方法中单一依赖旅游资源分布或游客兴趣点的局限性,弥补了现有研究中旅游资源空间分布和自驾游游客需求偏好关系量化评估的不足,简化了空间节点选择程序的复杂度,提升了风景道选线的科学性和精准度。
Scientific measurement of the spatial matching relationship between tourist resource points and tourist interest points is a key technical link in the selection of routes for self-driving scenic byways and the optimization of regional tourism productivity layout.The study introduces the theory of spatial matching,integrates multivariate data,and tries to construct the Spatial Matching for Scenic Byway(SMSB).Firstly,GIS analysis is used to identify the spatial clustering characteristics and distribution patterns of tourist resource points and tourist interest points,and the spatial matching measurement model is used to evaluate the spatial matching degree of the two and classify the matching types.Secondly,considering terrain slope,land use type,ecological sensitivity and other limiting factors,we constructed the suitability evaluation index system of scenic route selection through weighted superposition analysis,and divided the spatial suitability zoning.Again,the data of self-driving tourists'points of interest,OSM road network and tourist resource points are sequentially rasterized and superimposed to generate a node raster,and the spatial nodes are screened out in combination with the assessment of the current situation.Finally,based on the results of the above three steps-spatial matching degree,spatial suitability and spatial nodes-scenic route selection planning of the self-drive tour is carried out on the basis of the existing road network.The empirical test in Western Fujian found that the SMSB routing method overcomes the limitations of the traditional scenic route slecetion method that relies on a single distribution of tourism resources or tourist interest points,makes up for the lack of quantitative assessment of the relationship between the spatial distribution of tourism resources and the demand preferences of the self-driving tourists in the existing studies,simplifies the complexity of the spatial node selection procedure,and enhances the scientificity and accuracy of the scenic route routing.
作者
刘轶凡
白君亭
林冠娇
池彬
颜钰
陈洁
黄文洁
李霄鹤
Liu Yifan;Bai Junting;Lin Guanjiao;Chi Bin;Yan Yu;Chen Jie;Huang Wenjie;Li Xiaohe(School of Landscape Architecture and Art,Fujian Agriculture and Forestry University/Strait Beautiful Rural Human Settlement Environment Research Center,Fuzhou 350002,China)
出处
《中国生态旅游》
2025年第3期563-575,共13页
Journal of Chinese Ecotourism
基金
国家自然科学基金青年项目(32301661)
福建省教育厅本科教育教学改革研究项目(FBJG20220244)
福建省社会科学规划项目(FJ2021C069)。
关键词
风景道
空间匹配选线法
SMSB
多元数据
适宜性评价
自驾游
闽西地区
scenic byway
spatial matching route selection method
SMSB
multivariate data
suitability evaluation
self-driving tourism
Western Fujian
作者简介
第一作者:刘轶凡(2000-),女,硕士研究生,研究方向为生态旅游、风景园林。E-mail:845576150@qq.com;通讯作者:李霄鹤(1986-),女,博士,副教授,研究方向为风景园林历史与理论、乡村景观规划设计等。E-mail:Kathy767@163.com。
