Investigate Tourist Behavior through Mobile Signal: Tourist Flow Pattern Exploration in Tibet

Author:

Zhong LinaORCID,Sun SunnyORCID,Law RobORCID,Yang LiyuORCID

Abstract

Identifying the tourist flow of a destination can promote the development of travel-related products and effective destination marketing. Nevertheless, tourist inflows and outflows have only received limited attention from previous studies. Hence, this study visualizes the tourist flow of Tibet through social network analysis to bridge the aforementioned gap. Findings show that the Lhasa prefecture is the transportation hub of Tibet. Tourist flow in the eastern part of Tibet is generally stronger than that in the western part. Moreover, the tourist flow pattern identified mainly includes “(diverse or balanced) diffusion from the main center”, “clustering to the main center”, and “diffusion from a clustered circle”.

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development

Reference33 articles.

1. The Influence of Beijing-Shanghai High-speed Railway on Tourist Flow and Time-Space Distribution;Degen;Tour. Trib. Lvyou Xuekan,2014

2. Developing a GIS-supported tourist flow model for New Zealand;Becken,2007

3. Spatial Structure of Tourist Flow in Xi’an Tourism Region;Ma;Geogr. Geo-Inf. Sci.,2004

4. Modeling Tourist Movements

5. Movement patterns of tourists

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3