基于多源数据和适宜性评价的北京郊区旅游风景道选线研究

Study on Route Planning of Tourism Scenic Byways in Beijing’s Suburban Areas Based on Multi-Source Data and Suitability Evaluation

摘要: 在交旅融合与自驾游兴起的背景下，风景道作为复合型线性空间已成为提升区域旅游品质的关键。本研究以北京郊区为实证案例，综合运用多源数据，通过“源地识别–适宜度评价–廊道模拟”的技术路径，系统性地完成了从资源评估到网络生成的全过程。核心方法包括：利用核密度分析与夜间灯光数据识别景观与交通源地；采用AHP与熵值法相结合的主客观组合赋权模型，构建包含11个指标的评价体系以生成景观效益阻力面；最终运用Linkage Mapper廊道模拟工具，生成北京郊区风景道最优廊道网络。本研究紧密结合国家最新发布的《旅游风景道等级划分》标准，为规划实践提供了科学参考。研究成果不仅为北京郊区旅游升级提供了科学的规划方案，也为其他区域提供了一套基于多源数据与空间分析技术的风景道路网规划方法论。

Abstract: Under the backdrop of integrated transportation and tourism development and the rise of self-driving tours, scenic byways, as composite linear spaces, have become key to enhancing regional tourism quality. Taking Beijing’s suburban areas as a case study, this research comprehensively employs multi-source data and systematically completes the entire process from resource assessment to network generation through a technical pathway of “source identification-suitability evaluation-corridor simulation.” Core methodologies include: utilizing kernel density analysis and nighttime light data to identify landscape and transportation sources; adopting a combined weighting model integrating the Analytic Hierarchy Process (AHP) and entropy method to construct an evaluation system comprising 11 indicators for generating a landscape benefit resistance surface; and finally, applying the Linkage Mapper corridor simulation tool to generate the optimal scenic byway network in Beijing’s suburbs. This study closely aligns with the newly released national standard, Classification and Grading of Tourism Scenic Byways (LB/T 025-2025), providing scientific references for planning practice. The results not only offer a scientifically grounded planning scheme for tourism upgrading in Beijing’s suburbs but also provide a methodology for scenic byway network planning based on multi-source data and spatial analysis techniques that can be applied to other regions.