From ruins to heritage tourism sites: Exploring tourists’ perceptions, evaluations and behavioral intentions toward natural disaster sites

Abstract

Purpose This study aims to reveal the empirical linkage between tourists’ perspectives and attitudes towards disaster ruins and dark tourism by attesting influence relationships between disaster memorials perception, dark tourism evaluation, as well as heritage protection and tourism development intention. Design/methodology/approach Partial least squares structural equation modeling analysis was used on a sample of 413 valid visitor questionnaires collected at the 5·12 Wenchuan Earthquake Memorial Museum, Sichuan Province, China. Findings Disaster memorials perception positively influences positive evaluation of dark tourism, heritage protection intention and tourism development intention, while negatively influencing negative evaluation of dark tourism. Furthermore, positive evaluation of dark tourism and heritage protection intention positively affect tourism development intention. In addition, prior knowledge is a significant moderator in the research model. Originality/value This study applied the stimulus-organism-response framework and social exchange theory to predict tourists’ behavioral intention toward disaster memorials, providing valuable insights to dark tourism research. It illuminates tourists’ psychological and behavioral characteristics at natural disaster sites and deepens research on the human–nature relationship from the disaster perspective.

Analysis of Emotional Tendency of Tourism Consumers Based on LSTM and Fuzzy Control Algorithm

“…Hence, the FC process filters the adaptable data in computing as in Eq. (10). Therefore, the adaptable data with future tour plans are computed as However, the optimal recommendation for emotional tendency analysis is valid for both Trav d i × T and U n × Trav d i is to increase consumer's travel plans.…”

“…Therefore, the identifiable constraints RD and d are less to satisfy Eq. (10). The analysis for the repeated and non-repeated data is presented in Fig.…”

“…The data discreteness is observed from the sequential emotional data analysis of tourism consumers, where valid and invalid adaptable data are balanced and, hence, the recommendation is constant for all users as in Eq. (10). The recommendation changes for all the users based on travel plans, interests, and preferences to determine the emotional tendency for identifying repeated data and discreteness as in the above equations.…”

“…Both spatial and temporal features of the emotions are detected from the content. The features provide the exact personalities of the customers which minimizes the computational complexity in RS [10]. A convolutional neural network (CNN) and long short-term memory (LSTM)-based sentiment analysis technique are used for tourism systems [9].…”

The accessibility of beaches for blind people and their guide dogs: accessible tourism and inclusion in Spain

“…Wang et al (2023) maintain that to gain information about tourist sites is part of a tourists’ psychological process, and an important reference for DMOs to formulate marketing and management strategies. The iconic Blue Flag is one of the world’s most recognised voluntary awards for beaches, marinas and sustainable tourism boats, but it does not contemplate the accessibility of beaches for blind people and their guide dogs (Hayden, 2021).…”