在不断变化的条件下设计地方旅游区的系统整合方法:阿勒泰山脉案例研究

Q1 Social Sciences Regional Sustainability Pub Date : 2024-06-01 DOI:10.1016/j.regsus.2024.100142
Alexandr Nikolaevich Dunets , Evgeniya Mikhailovna Tabakaeva , Fang Han
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引用次数: 0

摘要

现有的旅游区设计方法往往导致项目实施的灵活性有限。为了实现更加灵活的方法,在本研究中,我们制定了一个在地方层面规划和设计旅游区的模型。此外,我们还开发了分析旅游区的具体工具,确保在不断变化的条件下实现可持续发展。这项研究在两个旅游区进行,即阿勒泰山脉的 Biryuzovaya Katun 旅游区和 Belokurikha 旅游区(包括 Belokurikha 市和 Belokurikha 2 Gornaya 旅游区及周边地区)。我们采用了娱乐机会频谱,并提出了在目的地和景点层面设计旅游区的系统集成规划方法。这种方法的关键是收集和分析当前的空间数据,包括景点和游客流量的空间分布。我们利用视频记录和无人机(UAV)观测数据构建了热图。此外,我们还利用图像分析框架 You Only Look Once (YOLO) v5 软件对视频流进行了分析。根据 Belokurikha 2 Gornaya 旅游区 Andreevskaya Sloboda 博物馆的视频记录数据绘制的游客流量热图,使我们能够突出该地区最具吸引力的景点,并将其分为三类:功能集中点、过渡集中点和景点点。利用无人机观测数据绘制的比留佐瓦娅-卡屯旅游区热力图使我们能够确定全天四个时间段内游客流量的时空模式和游客的偏好:09:00-12:00、13:00-14:00、14:00-15:00 和 16:00-18:00(当地时间)。16:00 至 18:00 人工湖沙滩区的游客流量密度最大。通过游客集中地点与现有设施之间的比较,可以了解对景点和设施的需求以及缺乏的区域。热图有助于分析景点层面的土地利用情况,而基于娱乐机会谱的分区则可用于设计目的地层面的旅游区。所提出的旅游区使用分析方法有助于开发适应性旅游设计。
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A system-integrated approach for the design of tourist areas at the local level under changing conditions: A case study in the Altay Mountains

The existing approaches for the design of tourist areas often lead to limited flexibility in project implementation. To realize a more flexible approach, in this study, we formulated a model for planning and designing tourist areas at the local level. Moreover, specific tools for analyzing tourist areas and ensuring sustainable development under changing conditions were developed. This study was conducted in two tourist regions, Biryuzovaya Katun tourist complex and Belokurikha destination (including Belokurikha City with Belokurikha 2 Gornaya tourist complex and surrounding areas), in the Altay Mountains. We employed the recreation opportunity spectrum and proposed a system-integrated programming approach for the design of tourist areas at the destination and site levels. The key of this approach was the collection and analysis of current spatial data, including the spatial distribution of attractions and visitor flows. We constructed heat maps using video recording and unmanned aerial vehicle (UAV) observation data. Moreover, we analyzed the video stream using an image-analyzing framework You Only Look Once (YOLO) v5 software. The heat map of visitor flows based on video recording data in the Andreevskaya Sloboda museum of Belokurikha 2 Gornaya tourist complex allowed us to highlight the most attractive sites in this area and classify them into one of three types: points of functional concentration, points of transitional concentration, and points of attractions. The heat maps in Biryuzovaya Katun tourist complex, created using UAV observation data, allowed us to determine the spatiotemporal patterns of visitor flows and tourists’ preferences throughout the day within four time intervals: 09:00–12:00, 13:00–14:00, 14:00–15:00, and 16:00–18:00 (LST). The maximum visitor flow density occurred from 16:00 to 18:00 in the beach area of the artificial lake. A comparison between the visitor-concentrated sites and the current facilities provided insights into the demand for attractions and facilities and the lacking areas. Heat maps are useful in analyzing the land use at the site level, while zoning based on the recreation opportunity spectrum can be used to design tourist areas at the destination level. The proposed methods for analyzing the use of tourist areas contribute to the development of adaptive tourism design.

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来源期刊
Regional Sustainability
Regional Sustainability Social Sciences-Urban Studies
CiteScore
3.70
自引率
0.00%
发文量
20
审稿时长
21 weeks
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