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Article
Publication date: 5 September 2023

Caihua Yu, Heng Zhang and Tonghui Lian

This study aims to explore the influence of risk preference and information acquisition on outdoor tourism safety decision-making.

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Abstract

Purpose

This study aims to explore the influence of risk preference and information acquisition on outdoor tourism safety decision-making.

Design/methodology/approach

Five hundred twenty outdoor tourists were surveyed, and data were analyzed using two-stage regression.

Findings

Risk preference positively affects tourists’ safety decisions for outdoor travel. The greater the risk preference is, the more likely the tourists are to make the risky decision of outdoor tourism. Information acquisition significantly negatively affects tourists’ safety decisions for outdoor tourism. Tourists who obtain information through social channels are more likely to make safer travel decisions than those who do not.

Originality/value

Risk preference and information acquisition are introduced into outdoor tourism safety research.

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Article
Publication date: 23 May 2022

Caihua Yu, Tonghui Lian, Hongbao Geng and Sixin Li

This paper gathers tourism digital footprint from online travel platforms, choosing social network analysis method to learn the structure of destination networks and to probe into…

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Abstract

Purpose

This paper gathers tourism digital footprint from online travel platforms, choosing social network analysis method to learn the structure of destination networks and to probe into the features of tourist flow network structure and flow characteristics in Guilin of China.

Design/methodology/approach

The digital footprint of tourists can be applied to study the behaviors and laws of digital footprint. This research contributes to improving the understanding of demand-driven network relationships among tourist attractions in a destination.

Findings

(1) Yulong River, Yangshuo West Street, Longji Terraced Fields, Silver Rock and Four Lakes are the divergent and agglomerative centers of tourist flow, which are the top tourist attractions for transiting tourists. (2) The core-periphery structure of the network is clearly stratified. More specifically, the core nodes in the network are prominent and the core area of the network has weak interaction with the peripheral area. (3) There are eight cohesive subgroups in the network structure, which contains certain differences in the radiation effects.

Originality/value

This research aims at exploring the spatial network structure characteristics of tourism flows in Guilin by analyzing the online footprints of tourists. It takes a good try to analyze the application of network footprint with the research of tourism flow characteristics, and also provides a theoretical reference for the design of tourist routes and the cooperative marketing among various attractions.

Details

Data Technologies and Applications, vol. 57 no. 1
Type: Research Article
ISSN: 2514-9288

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