Spatial-Temporal Evolutionary Characteristics and Factors of Network Attention to Rural Tourism: A Study Based on Big Data

Yuting Li, Xuefeng Wang

2022

Abstract

The development of rural tourism is conducive to promoting the implementation of rural revitalization strategy. Visitors frequently search for information about rural tourism on online platforms, generating network attention. Based on Baidu index, using web data mining and mathematical statistics, this paper analyze the spatial-temporal evolutionary characteristics and factors of network attention to rural tourism. The findings are as follows: (1) from 2011 to 2020, network attention to rural tourism has the characteristics of first rising and then falling, and is the highest in spring and autumn, and the lowest in winter. (2) network attention to rural tourism has no obvious agglomeration characteristics among the 31 provinces in China, but the whole shows the trend of decreasing from the east to the middle to the west. (3) network attention to rural tourism is related to climate comfort degree, economic development level, network development, socio-demography characteristic, hospitality service ability, tourism resources endowment and accessibility. The study aims to provide a reference basis for the planning and development of rural tourism destinations.

Paper Citation

in Harvard Style

Li Y. and Wang X. (2022). Spatial-Temporal Evolutionary Characteristics and Factors of Network Attention to Rural Tourism: A Study Based on Big Data. 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 225-232. DOI: 10.5220/0012072500003624

in Bibtex Style

@conference{pmbda22,
author={Yuting Li and Xuefeng Wang},
title={Spatial-Temporal Evolutionary Characteristics and Factors of Network Attention to Rural Tourism: A Study Based on Big Data},
booktitle={Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA},
year={2022},
pages={225-232},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012072500003624},
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 - Spatial-Temporal Evolutionary Characteristics and Factors of Network Attention to Rural Tourism: A Study Based on Big Data
SN - 978-989-758-658-3
AU - Li Y.
AU - Wang X.
PY - 2022
SP - 225
EP - 232
DO - 10.5220/0012072500003624
PB - SciTePress