基于gis的乡村虚拟现实旅游发展模式

Q2 Social Sciences Planning Malaysia Pub Date : 2023-08-31 DOI:10.21837/pm.v21i28.1348
Arina Rahmat, N. Abdul Rahman, Muhammad Rijal Mohamad, Aizaz Ahmad, Kamariah Abdullah
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引用次数: 0

摘要

本文概述了基于地理信息系统(GIS)数据和潜在旅游产品空间分布分析的虚拟现实(VR)旅游开发模型。该研究采用混合方法,结合定性和定量数据收集技术。定性方法,如访谈和焦点小组,收集利益相关者的见解,包括游客、当地社区和旅游业专业人士,关于他们的看法、期望和偏好。定量方法,如调查和数据分析,提供了对游客人口统计、偏好和VR旅游经济影响的全面了解。研究结果侧重于确定和分析旅游产品的组成部分和数据信息,特别是在霹雳登加地区的农村地区。收集旅游产品信息并将其编码到GIS数据库中。新的分类系统的引入证明了开发模型的合理性,并概述了框架方法的每个阶段的详细过程。本研究的独创性和价值在于采用混合方法收集定性和定量数据,说明了利用GIS工具方法专门针对农村旅游产品开发VR旅游的概况。
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DEVELOPMENT MODEL FOR VIRTUAL REALITY (VR) TOURISM IN RURAL AREAS: A GIS-BASED APPROACH
This paper provides an overview of a development model for virtual reality (VR) tourism using Geographic Information System (GIS) data and spatial distribution analysis of potential tourism products. The study employs a mixed-methods approach, combining qualitative and quantitative data collection techniques. Qualitative methods, such as interviews and focus groups, gather insights from stakeholders, including tourists, local communities, and tourism industry professionals, regarding their perceptions, expectations, and preferences. Quantitative methods, such as surveys and data analysis, provide a comprehensive understanding of visitor demographics, preferences, and the economic impact of VR tourism. The findings of the study focus on identifying and analysing the components of tourism products and data information specifically within the rural area of the Perak Tengah District. Information about tourism products is collected and encoded into a GIS database. The introduction of a new classification system justifies the development model and outlines a detailed process for each stage of the framework's methodologies. The originality and value of this research used a mixed-methods approach to gather qualitative and quantitative data, illustrating the overview of VR tourism development using the GIS tool approach specifically for tourism products in rural areas.
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来源期刊
Planning Malaysia
Planning Malaysia Social Sciences-Urban Studies
CiteScore
1.40
自引率
0.00%
发文量
68
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