Research on Tourists' Perception of Scenic Byways Based on Text Big Data: Taking Grass Skyline as an Example

Xinrong Dai

2022

Abstract

This paper analyzed high-frequency words, social semantic network and emotions of tourists based on online travelogues using ROST CM6 to study the tourists’ perceptual characteristics of the Grass Skyline from the perspectives of cognition and emotion, and analyzed the relationship between tourists’ perceptions and the spatial patterns of the scenic byway. It is found that the high-frequency words show a “core—sub-core—periphery” structure, and tourists’ cognitive evaluation can be divided into three dimensions: tourist attraction, tourist supporting facilities, public environment and services. The paper also shows that tourists to the Grass Skyline are mainly positive and neutral emotions and there are differences in tourists’ emotions at different locations and sections, with a great proportion of positive emotions than negative emotions. The purpose of this research is to provide references for the construction and management of the scenic byway.

Paper Citation

in Harvard Style

Dai X. (2022). Research on Tourists' Perception of Scenic Byways Based on Text Big Data: Taking Grass Skyline as an Example. 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 239-243. DOI: 10.5220/0012072700003624

in Bibtex Style

@conference{pmbda22,
author={Xinrong Dai},
title={Research on Tourists' Perception of Scenic Byways Based on Text Big Data: Taking Grass Skyline as an Example},
booktitle={Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA},
year={2022},
pages={239-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012072700003624},
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 - Research on Tourists' Perception of Scenic Byways Based on Text Big Data: Taking Grass Skyline as an Example
SN - 978-989-758-658-3
AU - Dai X.
PY - 2022
SP - 239
EP - 243
DO - 10.5220/0012072700003624
PB - SciTePress