Analysis on the Spatial Structure Characteristics of Gansu Tourism Flow Based on the Social Network Analysis Method

DOI

10.2991/assehr.k.201023.123How to use a DOI?

Keywords

digital feature, tourism flow, social network analysis

Abstract

This paper uses the method of social network analysis, takes the digital footprint of tourists of big data on the Internet as the original data, constructs the network structure map of Gansu tourism flow by using Ucinet and Netdraw software, and systematically describes the spatial structure characteristics of Gansu tourism flow. On this basis, it makes an in-depth analysis of the problems existing in the development of Gansu tourism. It is found that: (1) the level of scenic spots in Gansu has a low matching degree with consumption hot spots, and (2) the tourist flow routes in Gansu show a multi-core and multi-point distribution pattern. Scenic spots such as Mogao Grottoes, Kongtong Mountain, Labrang Temple and Zhangye Danxia Geopark jointly form the core of tourism flow, while scenic spots such as Dadun Gorge, Hesheng Ancient fossil Museum, Xinglong Mountain and Baita Temple are still “isolated island attractions”. (3) there is a lack of systematic overall management for the further excavation and high-quality development of tourism resources in Gansu.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Mei JIN
AU  - Yihua WU
PY  - 2020
DA  - 2020/11/06
TI  - Analysis on the Spatial Structure Characteristics of Gansu Tourism Flow Based on the Social Network Analysis Method
BT  - Proceedings of the 2020 5th International Conference on Modern Management and Education Technology (MMET 2020)
PB  - Atlantis Press
SP  - 629
EP  - 633
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201023.123
DO  - 10.2991/assehr.k.201023.123
ID  - JIN2020
ER  -