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9 December 2021 A study on the spatio-temporal evolution of Tibetan inbound tourism flow network based on social networks
Huajian Gao
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Proceedings Volume 12129, International Conference on Environmental Remote Sensing and Big Data (ERSBD 2021); 1212912 (2021) https://doi.org/10.1117/12.2625830
Event: 2021 International Conference on Environmental Remote Sensing and Big Data, 2021, Wuhan, China
Abstract
The development of Internet information technology has promoted the emergence of many social media and interactive platforms, which contain a large amount of POI information related to tourists' travel, providing a new source of big data and perspective for studying the spatial distribution characteristics and spatio-temporal change characteristics of tourists' POI. In this paper, we use Flickr image sharing website to obtain POI data of inbound tourists in Tibet, construct a tourism flow network structure evaluation system from the perspective of social networks, explore the characteristics of spatial and temporal distribution of POI of inbound tourists in Tibet, and then make the following suggestions: 1. The structure of inbound tourism flow in Tibet is loose, and the connection between attractions is weak. With the development of transportation infrastructure, the tourism attractiveness of northern and eastern Tibet is gradually rising.2, cold attractions have unique attraction to inbound tourists, and creating special towns can help promote inbound tourism development.
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Huajian Gao "A study on the spatio-temporal evolution of Tibetan inbound tourism flow network based on social networks", Proc. SPIE 12129, International Conference on Environmental Remote Sensing and Big Data (ERSBD 2021), 1212912 (9 December 2021); https://doi.org/10.1117/12.2625830
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KEYWORDS
Social networks
Web 2.0 technologies
Standards development
Algorithm development
Data processing
Social network analysis
Network security
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