THE ASSESSMENT OF SCENIC ATTRACTIVENESS ON COASTAL WAYS: A CASE STUDY OF PERSEMBE-BOLAMAN (ORDU-TURKEY)

IF 1 4区环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES

Journal of Environmental Engineering and Landscape Management Pub Date : 2024-03-06 DOI:10.3846/jeelm.2024.20970

P. Yeşil, Mesut Guzel

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Abstract

The biophysical characteristics of the areas that can be seen while travelling on motorways have an impact on the perception of the landscape. Highways provide diverse landscape experiences to travellers according to their natural and cultural qualities. Especially coastal ways that combine with nature and the sea have a high potential for scenic attractiveness. This study aims to analyse the scenic attractiveness of coastal ways using GIS and RS techniques. Persembe-Bolaman coastal way in the Black Sea Region of Turkey was selected as a case study. Three road features and seven viewshed features that are assumed to affect landscape attractiveness on the Persembe-Bolaman coastal road were selected. The data set of these features was categorised into three clusters by k-means clustering, one of the unsupervised learning algorithms. The most attractive cluster in terms of scenic attractiveness was selected by determining the characteristics of the clusters. In conclusion, it was found that the scenic attractiveness was the highest in Cluster-1, which corresponds to 46.3% of the selected route.

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沿岸景观吸引力的评估：佩森贝-波拉曼（土耳其奥尔杜）案例研究

在高速公路上行驶时，所能看到的区域的生物物理特征会影响人们对景观的感知。高速公路根据其自然和文化特质为旅行者提供不同的景观体验。尤其是与自然和海洋相结合的沿海公路，具有很高的景观吸引力潜力。本研究旨在利用 GIS 和 RS 技术分析沿海公路的景观吸引力。研究选择了土耳其黑海地区的 Persembe-Bolaman 沿海公路作为案例。研究选取了被认为会影响 Persembe-Bolaman 沿海公路景观吸引力的三个道路特征和七个景观特征。通过无监督学习算法之一的 k-means 聚类，将这些特征的数据集分为三个群组。通过确定聚类的特征，选出了在风景吸引力方面最具吸引力的聚类。结果发现，风景吸引力最高的是聚类 1，占所选路线的 46.3%。

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来源期刊

Journal of Environmental Engineering and Landscape Management 环境科学-环境科学

CiteScore

1.90

自引率

7.70%

发文量

审稿时长

>12 weeks

期刊介绍： The Journal of Environmental Engineering and Landscape Management publishes original research about the environment with emphasis on sustainability.