A Study of Place Attachment of Folklore Tourists Based on Big Data: The Case of Yanbian Korean Autonomous Prefecture

Zhonghua Sun, Hai Wang, Xuefeng Wang

2022

Abstract

The age of big data provides a new data source for studying tourists’ place attachment. This article digs big data texts, takes the online travel notes published by tourists who have visited Yanbian Korean Autonomous Prefecture as data, uses grounded theory to explore the place attachment dimensions of folklore tourists, and constructs a local attachment model for folk tourists. The results show that: 1) Place attachment of folklore tourists consists of four dimensions: local imprint, local experience, local identity, and emotional attachment. 2) In the formation mechanism of place attachment of folklore tourists, the local imprint is the internal motive, local experience is the external motive, local identity is the value guide, and emotional attachment is the expression of emotion. 3) Local imprint has a guiding effect on local experience; local experience tests and realizes local imprint and has a direct influence on local identity and emotional attachment; local identity is directly influenced by local experience but the intensity of influence is regulated by local imprint; emotional attachment is influenced by local experience and local identity.

Paper Citation

in Harvard Style

Sun Z., Wang H. and Wang X. (2022). A Study of Place Attachment of Folklore Tourists Based on Big Data: The Case of Yanbian Korean Autonomous Prefecture. In Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA; ISBN 978-989-758-658-3, SciTePress, pages 292-298. DOI: 10.5220/0012074000003624

in Bibtex Style

@conference{pmbda22,
author={Zhonghua Sun and Hai Wang and Xuefeng Wang},
title={A Study of Place Attachment of Folklore Tourists Based on Big Data: The Case of Yanbian Korean Autonomous Prefecture},
booktitle={Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA},
year={2022},
pages={292-298},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012074000003624},
isbn={978-989-758-658-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA
TI - A Study of Place Attachment of Folklore Tourists Based on Big Data: The Case of Yanbian Korean Autonomous Prefecture
SN - 978-989-758-658-3
AU - Sun Z.
AU - Wang H.
AU - Wang X.
PY - 2022
SP - 292
EP - 298
DO - 10.5220/0012074000003624
PB - SciTePress