Research on Destination Image Perception Based on Digital Footprint of Tourism -- Taking Xi’an as an Example
- DOI
- 10.2991/iccessh-18.2018.280How to use a DOI?
- Keywords
- Xi'an; digital footprint; content analysis; image perception
- Abstract
The research on the image perception of tourism destinations is a hot topic in the study of tourism at home and abroad. However, it still needs to be supplemented and perfected in research methods and research on destination emotional images. This article takes Xi'an as the research object, selects the digital footprint of network travel notes as the data source, uses Rost ContentMing software to extract the high-frequency feature words of Xi'an tourism image and forms the semantic network, adopts content analysis method and grounded theory to analyze the cognitive image and emotional image of Xi'an tourism. As a result, the overall image of tourists on Xi'an is a cultural and humanistic tourism destination. Xi'an’s tourism image carrier is a thousand-year-old ancient capital. It has a strong cultural atmosphere, a long-standing humanistic feeling, and exquisite historical artifacts, etc. The tourists' overall emotional perception on Xi'an is positive. The positive perception mainly comes from tourism landscape, natural environment, special cuisine, and convenient transportation. The negative perception mainly comes from scenic spot management services.
- Copyright
- © 2018, 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/).
Cite this article
TY - CONF AU - Wen Pang AU - Shu Wang AU - Danqing Chen AU - Renfeng Wang PY - 2018/07 DA - 2018/07 TI - Research on Destination Image Perception Based on Digital Footprint of Tourism -- Taking Xi’an as an Example BT - Proceedings of the 3rd International Conference on Contemporary Education, Social Sciences and Humanities (ICCESSH 2018) PB - Atlantis Press SP - 1269 EP - 1276 SN - 2352-5398 UR - https://doi.org/10.2991/iccessh-18.2018.280 DO - 10.2991/iccessh-18.2018.280 ID - Pang2018/07 ER -