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Coronavirus disease 2019 (COVID-19) has resulted in traveling restrictions and decreased the demand among travelers since the end of 2019. Policies and people’s behaviors are gradually changing with the increase in the number of new diagnoses of COVID-19. Tourism increases tourists’ risk of contracting COVID-19 and will undoubtedly be affected by this disease. Based on this assumption and social cognitive theory, this paper aims to explore the impact of COVID-19 on tourism in terms of people’s willingness to travel.

Based on social cognitive theory, this study has designed the model and variables. The data of the paper came from a survey conducted in 29 provinces of China and a total of 618 responses were used for data analysis after deleting invalid questionnaires. Drawing on the structural equation modeling method, this paper processes the data collected from questionnaires to test the hypotheses and come to the results.

The results indicate that the negative impact of COVID-19 will affect the severity perceptions, personal negative effects and positive effects of tourism during the outbreak, which will ultimately influence people’s willingness to travel. During the outbreak of COVID-19, impacted by environmental factors and personal factors, Chinese people’s willingness to travel has been significantly reduced.

This study mainly focuses on people’s willingness to travel and the demand side of tourism to analyze the effects of COVID-19 on tourism, which neglects the supply side of tourism for analysis. Subsequent research should take account of the supply side of tourism and expanding the sample size worldwide to determine the impact of COVID-19 on the tourism industry from a broader perspective.

This study quantitatively analyzes how COVID-19 influenced the tourism industry and precisely determines the possible mechanism of the effect of COVID-19 on tourism by using social cognitive theory to build a model. The insights from the work help to understand how COVID-19 affects people’s willingness to travel during the pandemic and how to address this issue.

新型冠状病毒（COVID-19）自2019年底以来开始被发现, 随后逐渐蔓延至全球, 给人们的生活带来不小的影响。该病毒的发展使得人们的出行受到了较大的限制, 因而减少了人们对于旅游的需求。随着新冠疫情确诊人数的增加, 政府政策和人们的行为也处在变化之中。基于这一假设和社会认知理论, 本文旨在从人们的旅游意愿角度探究新冠疫情对旅游业的影响。

本文所设计的变量和模型是在社会认知理论的基础之上提出的。本研究的数据来源于面向中国29个省市自治区的问卷调查。在剔除无效问卷后, 总共搜集618份有效问卷进行数据分析。本研究采用了结构方程模型, 对假设进行检验、并得出最终结论。

研究结果表明, 新冠疫情带来的负面影响会增加人们对疫情严重性的认知程度、疫情期间旅游给人带来的负面影响增大、正面影响减少, 从而最终影响人们的旅游意愿。在新冠疫情之下, 受到环境、个人因素的影响, 人们的旅游意愿显著降低。

本研究的数据均来源于中国, 所以将本文的结论应用于其他地区时, 由于不同地区的自然和社会环境差异, 结论可能会产生差异。本研究主要聚焦于人们旅游意愿的变化, 即旅游业的需求端, 来分析新冠疫情对旅游业的影响, 忽视了旅游业的供给端在新冠疫情期间对旅游业的影响分析。后续的研究可以考虑从旅游业供给端的变化进行分析、以及将样本数量扩大到全球范围, 从而可以从更广阔的视角来探究新冠疫情对旅游业的影响。

本研究定量分析了新冠疫情如何影响旅游业, 并利用社会认知理论建立模型来精确判断这一影响的可能机理。本文的发现有助于了解新冠疫情如何影响人们在疫情行期间旅行的意愿, 以及制定相关的应对措施。

El coronavirus (COVID-19) se descubrió desde finales de 2019 y luego se extendió gradualmente a todo el mundo, lo que tuvo un gran impacto en la vida de las personas. La propaganda del coronavirus ha provocado muchas restricciones en los viajes de las personas, por lo tanto, reducía la demanda de viaje de las personas. Con el aumento en el número de casos confirmados de COVID-19, las políticas gubernamentales y el comportamiento de las personas también se están cambiando. Basado en esta hipótesis y teoría cognitiva social, este artículo tiene como objetivo explorar el impacto del COVID-19 en el turismo desde la perspectiva de la disposición de las personas a viajar.

Las variables y modelos diseñados en este artículo se proponen sobre la base de la teoría cognitiva social. Los datos para este estudio provienen de las encuestas por cuestionario de 29 provincias, municipios y regiones autónomas de China. Después de excluir los cuestionarios no válidos, se recopilaron un total de 618 cuestionarios válidos para el análisis de datos. En este estudio, se utiliza el modelo de ecuación estructural y la prueba de la hipótesis, al final llegar a la conclusión.

El resultado de la investigación muestra que el impacto negativo del COVID-19 aumenta la conciencia de las personas sobre la gravedad de la epidemia, y el impacto negativo del turismo durante la epidemia se aumenta y el impacto positivo se disminuye, lo que al fianl afecta la disposición de las personas a viajar. Bajo el COVID-19, afectada por factores ambientales y personales, la disposición de las personas a viajar se ha reducido significativamente.

Los datos de este estudio son todos de China, por lo que cuando las conclusiones de este artículo se aplican a otras regiones, las conclusiones pueden diferir debido a las diferencias en los entornos naturales y sociales de diferentes regiones. Esta investigación se centra principalmente en el cambio del deseo de viajar de las personas, es decir, el lado de la demanda del turismo, para analizar el impacto del COVID-19, por eso ignora el análisis del impacto de la oferta turística en el turismo durante el COVID-19. Los estudios posteriores se pueden considerar desde el aspecto de analizar los cambios en el lado de la oferta del turismo y expandir el número de muestras a una escala global, por lo tanto, se puede explorar el impacto del COVID-19 desde una perspectiva más amplia.

El encuentro de este artículo ayuda a comprender cómo el COVID-19 afecta la disposición de las personas a viajar durante la epidemia y a formular medidas de respuesta relevantes.

This paper uses a supplemented health belief model (HBM) to explain the risk perception of COVID-19 coronavirus infection by potential and actual domestic and international travelers (from primarily European countries) in the early pre-vaccine phase of the pandemic and its influence on their travel intentions, decisions, and actions. With a health crisis of this magnitude, it is vital to understand the effect of COVID-19-associated containment measures and safety industry strategies in abating public fear and apprehension associated with non-essential travel.

The authors used a sequential transformative design consisting of a (QUAN + Qual) survey to explore the HBM dimensions. The questions in the quantitative part of the survey were disseminated online examine perceptions of the severity and susceptibility of the disease, travel risks and willingness to travel. The questions in the qualitative face-to-face survey examined, how international/cross-border travelers (from Spain and Germany) perceive the benefits and barriers of personal protective behavior and the potential influence of cues to action.

Results suggest that despite potential fear arousal and confusion associated with this infectious disease, people were willing to travel during periodic on-and-off travel restrictions and perceive the benefits of such travel as outweighing barriers like wearing masks, social distancing and other containment measures.

The conceptual model enabled the capture of real-time traveler's feelings about the benefits of traveling in the presence of the coronavirus and their perceptions of COVID-19 safety strategies used at destinations. This study adds to the lack of existing knowledge about potential psychological factors influencing travel decisions and behavior, including self-protective behavior. As borders reopen and we progress towards tourism and hospitality recovery, the results of this study can assist organizations, including health officials and governments, by reminding them of the likelihood of residual public fear when planning their COVID-19 safety strategies.

Given the scarcity of COVID-19 research on people's travel intentions and behavior following periods of social isolation due to lockdowns and border closures, this study captures sample public perceptions at two stages early in the pandemic. It is the first to apply all of the HBM dimensions with the addition of travel risk as a construct to investigate people's travel intentions and behaviors without vaccinations or treatments and to include cues to action in the investigation.

This study aims to explore the connection between travel content consumption in social networks and social comparison, envy as well as travel intention. It analyzes whether tourists’ travel intention is affected by travel content consumption in social networks, and more importantly, whether social comparison and envy play a mediating role in this process.

Data was collected through intercept in four popular tourist spots in Guangzhou and Zhuhai in South China. A self-administered questionnaire was used. A total of 400 participants were recruited, and 291 valid questionnaires were obtained. Bias-corrected nonparametric percentile bootstrap mediation variable test method was used to test hypotheses.

The study yielded three results. First, travel content consumption in the social networks positively influences travel intention. Second, travel content consumption in social networks indirectly affects travel intention through social comparison and envy. Third, the control variables, such as gender, age, education and income, mainly affect envy.

This study constructs a theoretical framework of stimulus–cognitive appraisal–emotion–behavioral responses. To the best of the authors’ knowledge, it is the first study to reveal that the internal psychological mechanism of travel content consumption affects travel intention. It also discloses that envy of seemingly negative emotions can encourage positive behaviors in certain situations.

This paper aims to examine tourists' behavioral changes in response to health crises, this study examines the individual's uncertainty and adaptability to the challenges using behavioral coping strategies.

The study combines the theory of planned behavior (TPB) and protection motivation theory. Using the PLS-SEM technique, this study examines the relationship between the destination's competitive profits and travel intention of Iranian tourists in the post-Covid-19 pandemic.

The social-support coping (Instrumental) does not incorporate tourists' adaptive behaviors. Vulnerable vaccination significantly affects the extremeness of an individual's problem-focused coping, which affects tourist's adaptive behaviors in crisis time, indicating the effectiveness of the Covid-19 vaccination on travel intention.

The findings may assist tourism authorities and planners develop unique tourism products and services based on tourist behavior following the health crises.

This study contributes to development of the TPB method, indicating that visa exemption and competitive profits of a destination would motivate travel intention existing inefficacy of local government and its negative background, reshaping and thus influencing changing behavior.

Contemporary changes have occurred in country-level policies and tourists’ intentions in recent years. The role of maintaining a country’s image is trendy in crisis control but has not yet been discussed in domestic tourism research. Extending the Stimulus Organism Response model, this study aims to focus on “trustable WOM creation” in China. In addition, it aimed to discover how behavioral changes encourage domestic tourism intention (DTI).

This study explored the mediating role of DTI and the moderating role of maintenance of country image (MCI) for trustable word of mouth (WOM) creation. Using the snowball sampling technique, a structural equation modeling analysis (Smart PLS-4) was employed to analyze the data of 487 Chinese tourists.

Findings confirm that behavioral changes positively encourage domestic tourism and discourage international tourism, with significant negative moderation by MCI. MCI has an insignificant positive moderating effect between government-media trust and DTI. Furthermore, DTI positively and directly affects the creation of trustable WOM. In addition, it had a 20% mediation effect (VAF%) between behavioral changes and WOM creation, higher than the rejected mediation effect (12%), in the causal relationship between government-media trust and WOM creation.

WOM creation varies from different behavioral changes, but findings suggest that government-media trust and DTI influenced it significantly. Based on the study findings, the government and media can enhance domestic tourism by maintaining the country’s image. These findings both encourage and control the recovery of tourism.

This study provides a theoretical explanation for tourists' behavioral changes during the pandemic. Moreover, it shows that despite avoiding international tourism due to behavioral changes and government-media trust, MCI moderation with the mediation effect of DTI can create trustable WOM. To the best of the authors’ knowledge, this is the first study to theoretically promote tourism through DTI-induced psychology as a mediator and an organism affect prevailing among Chinese tourists.

The purpose is to provide decision support for tourists recommending scenic spots and corresponding suggestions for the management of scenic spots.

Based on the Baidu index data generated, this paper analyzes the temporal and spatial characteristics of network attention of 5A scenic spots in Sichuan Province. The online comment data are used to build the assessment model of scenic spots based on network attention, and the comment information of tourists is mined and analyzed through statistical analysis. At the same time, the key attributes of scenic spots from the perspective of network attention are evaluated and analyzed by using the probabilistic linguistic term set. Finally, this paper further constructs a recommendation model based on the key attribute set of scenic spots.

This paper uses different types of tourism network information, integrates multi-types of data and methods, fully excavates the value information of tourism network information, constructs the research framework of “scenic spot assessment + scenic spot recommendation” from the perspective of network attention, analyzes the network attention characteristics of scenic spots, evaluates the performance of scenic spots, and implements scenic spot recommendation.

This paper integrates multi-source data and multidisciplinary theoretical methods to form a scenic spot research framework of “assessment + recommendation” from the perspective of network attention.

The digital economy has become a key force supporting the high-quality development of tourism. This paper discusses the coupling coordination relationship and spatiotemporal evolution path of digital economy and tourism in China's provinces.

This paper uses the entropy method to measure the development level of digital economy and tourism, and establishes coupling coordination model and spatial autocorrelation model to study the interaction between the two industries.

Results show that the development levels of the two industries are rising, which spatially show a progressively decreasing pattern of east-middle-northeast-west. The coupling coordination degrees of the two industries have increased steadily, but the overall level is still near maladjusted. Spatially, the positive correlation is increasing, but the incongruity of spatial agglomeration is still significant. The coupling coordination evolution path in the provinces shows differentiated characteristics. The migration path is mainly concentrated in Zones I and II. The eastern region has an obvious trend of extending to Zone III, where the tourism industry was the most affected by the pandemic.

The study helps clarify the industrial coupling and coordination relationship in various regions and formulate regional tourism digital transformation strategies to promote the high-quality development of China's tourism industry.

This paper enriches the research on the relationship between digital economy and tourism from the perspective of industrial integration. The development commonality of China's tourism digital transformation summarized provides theoretical reference and demonstration for the coordinated development of China's tourism.

The COVID-19 pandemic and the travellers’ behaviour towards travel risk is an emerging issue. Nonetheless, the travellers’ perceived COVID-19 impacts, travel risk perception, health and safety perception and travel avoidance concerning protection motivation theory is unnoticed. Following the protection motivation theory, the current study investigates the direct and indirect relationships between perceived COVID-19 impacts and travel avoidance. Moreover, the travellers’ cognitive perceptions of risk may vary with their demographic characteristics; therefore, the present study aims to test the differences in group-specific parameter estimates using a multi-group analysis.

The authors approached travellers from Tianjin, China using different communication services, including WeChat and email, through a snowball sampling technique. The study used 553 valid questionnaires for analysis.

The results of 553 questionnaires in structural equation modelling (SEM) with AMOS 21 indicated that travellers’ perceived Covid-19 impacts positively correlate with travel avoidance. The study model based on protection motivation theory specifies that travel risk perception and health and safety perception as a cognitive mediating process partially mediated the relationship between perceived COVID-19 impacts and travel avoidance. The findings specified that during COVID-19, travellers assessed the severity of travel risks and adopted preventive measures which influenced their travel behaviour and led to travel avoidance. The multi-group analysis results indicated no difference in perception for gender and education; however, concerning age, the significant nested p-value specifies a difference in perception.

The study offers implications for policymakers and the tourism industry to understand the travellers’ perceptions of travel during the pandemic and ensure health and safety measures to encourage travelling and reviving the tourism industry.

The application of protection motivation theory to analyse the travellers’ perceived COVID-19 impacts and travel avoidance in the presence of travel risk perception and health and safety perceptions as a cognitive mediating process is novel.

COVID-19大流行下的旅行风险问题日益重要。目前, 有关旅游者COVID-19影响感知、旅行风险感知以及健康安全感知与避免旅行之间关系的问题尚未引起学者广泛关注。基于保护动机理论, 本文对COVID-19影响感知与避免旅行之间的直接关系和间接关系进行深入研究。鉴于旅游者旅行风险认知因其人口特征而异, 本文采纳多组分析来检验群体间特定参数估计差异。

采用滚雪球抽样方法在中国天津利用微信和电子邮件共收集了553份有效问卷。

结构方程模型分析结果显示, 旅游者Covid-19影响感知与避免旅行之间呈正相关关系。基于保护动机理论的研究模型表明, 旅行风险感知和健康安全感知作为认知中间过程, 在COVID-19影响感知与避免旅行之间起到部分中介作用。这说明在COVID-19期间, 旅游者首先评估旅行风险等级并采取预防措施, 而这将影响他们的旅行行为, 甚至导致放弃旅行。此外, 多组分析结果表明, Covid-19影响感知在性别和受教育程度上并不存在显著差异, 但在年龄上差异显著。

研究对于政策制定者和旅游业界理解旅游者在疫情期间对旅行的看法以及采取健康和安全措施鼓励游客出游进而实现旅游业复苏具有重要启示。

基于保护动机理论, 引入旅行风险感知和健康安全感知作为中介变量来分析旅游者Covid-19影响感知对避免旅行的影响是本研究的重要创新点。此外, 本研究通过检验Covid-19影响感知在受访者人口学特征上的差异也对现有研究具有一定理论贡献。

La pandemia de COVID-19 y el comportamiento de los viajeros hacia el riesgo del viaje es un asunto emergente. No obstante, los impactos percibidos de COVID-19 por los viajeros, la percepción del riesgo de viaje, la percepción de salud y seguridad, así como la evitación de viajes con respecto a la teoría de la motivación de protección es desapercibida. Por lo tanto, el estudio actual basado en la teoría de la motivación de protección investiga las relaciones directas e indirectas entre los impactos percibidos del COVID-19 y la evitación del viaje. Las percepciones cognitivas del riesgo de los individuos varían con sus características demográficas; por lo tanto, el estudio actual que utiliza un análisis de multigrupo prueba las diferencias en las estimaciones de los parámetros de grupo específico.

Nos acercamos a los viajeros de Tianjin, China, utilizando diferentes servicios de comunicación, incluidos WeChat y email, a través de una técnica de muestreo de bola de nieve. El estudio utilizó 553 cuestionarios válidos para el análisis.

Los resultados empíricos de los 533 cuestionarios en los modelos de ecuaciones estructurales (MES) indican que los impactos percibidos de Covid-19 se correlacionan positivamente con la evitación del viaje. El resultado implica que los encuestados primero evalúan los riesgos y luego toman las decisiones de viajar; por consiguiente, los hallazgos apoyaron la teoría de la motivación de protección. Los hallazgos también mostraron que la percepción del riesgo de viaje y la percepción de salud y seguridad median entre los impactos percibidos de Covid-19 y la evitación de viajes. Además, los resultados del análisis de multigrupo indican que para el género y la educación, no existe una diferencia; sin embargo, en cuanto a la edad, existe una diferencia significativa en la percepción.

Las implicaciones del estudio son importantes para que los legisladores y la industria del turismo comprendan la percepción de los viajeros durante la pandemia y garanticen las medidas de salud y seguridad para animar a viajar.

La aplicación de la teoría de la motivación de protección para analizar los impactos percibidos de COVID-19 por los viajeros y la evitación del viaje en la presencia de la percepción de riesgo de viaje y la percepción de salud y seguridad como variables mediadoras es novedosa. También, el estudio actual contribuye a la literatura a través de probar el modelo teórico sobre las características demográficas de los encuestados.

By using a wide range of macro and micro factors, this paper aims to provide a new assessment of the recent literature on inbound tourism demand models.

This study examines the determinants and spatial effects of inbound tourism using Hausman–Taylor and spatial econometric models.

Several important factors were identified, including local economic growth, openness to the outside world, regional size, geographic distance, foreign direct investment, level of innovation and average annual temperature. In addition, the study found strong cross-city competition effects on tourism resource endowment and hotel infrastructure.

Inbound tourism is a crucial link in achieving high-quality economic development. However, previous studies have mainly focused on the analysis of single influencing factors, ignoring the spatial spillover effects of factors.

The purpose of this study is to investigate the recovery and resilience tourism strategies and possible future development of four main Chinese tourism cities.

The authors collected data from the official accounts of tourism administrations of these cities, tourist attractions and opinions from media and newspapers in Sina Weibo platform. The authors adopted an inductive approach in observing relevant social media posts and applied content analysis to identify main China’s tourism prevention and recovery strategies.

During the mass pandemic infection period, top-down prevention and control measures were implemented by the Chinese central and local governments, with feasible and regional recovery policies and protocols being adapted according to local situations. Measures related to tourism industrial re-employment, improvement of international images and governmental financial supports to re-boost local tourism in Chinese cities were paid great attention. Digitalization, close-to-nature and cultural heritages became important factors in the future development of China’s tourism. Dark tourism, as a potential tourism recovery strategy, also obtained huge emergence, for the memory of people deceased in the pandemic and for the inheritance of national patriotism.

This study enriches the current literature in urban tourism recovery studies analyzing the specific case of Chinese tourism cities and fulfill some voids of previous research mostly focused on the first wave of the pandemic and the recovery strategies mainly of Western cities. It also provides valuable suggestions to tourism practitioners, destinations and urban cities in dealing with regional tourism recession and finding possible solutions for the scenario associated to the COVID-19 and other similar health crisis.