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Many hotels allocate guests to specific rooms immediately after reservation. This happens because individual rooms are sold (and there is no concept of room type) or because the assignment is done by hand at reservation or because of a connection with a channel manager, which is immediately fixing the room number after a reservation request. This early allocation is suboptimal, and it causes the unnecessary rejection of some reservations when the hotel has a high occupancy level. The purpose of this paper is to investigate different room allocation algorithms, including an optimal one (called RoomTetris), aiming at higher occupancy levels and profitability.

The methodology is based on theoretical results and experimentation. The optimality or the proposed RoomTetris algorithm is demonstrated. Experiments are executed in different contexts, including realistic ones, through the adoption of a hotel simulator, to measure the improvements in the occupancy rate of the optimal and heuristic strategies with respect to random or sub-optimal assignments of rooms.

The main results are that smart allocation algorithms can greatly reduce the rejection rate (reservation requests which cannot be fit into the hotel room plan) and improve the occupancy level, the percentage of available rooms or beds sold for the various periods.

This analysis can be extended by considering cancellations and overbookings. A second possibility to add flexibility in room allocation for hotels having more than one type of rooms is that the hotel can upgrade and offer a high-price room to the customer, which given an even large flexibility to fix rooms by shifting customers to other compatible types. In addition, more complex integrations with revenue management can also be considered, for cases in which the cost of a room depends on the number of guests.

Given that the difference in occupancy rate of the optimal algorithm is particularly large in high season and high-request periods, periods which are usually associated to higher rates and higher volumes, the proposed algorithm will improve the main financial performance indicators such as revenue per available room by an even bigger multiplier, depending on the hotel pricing policy. Because the room allocation process can be completely automated, the adoption of appropriate smart allocation algorithms represents a low-hanging fruit to be picked by efficient hotel managers.

To the best of the knowledge this is the first proposal of an optimal algorithm (with proof of optimality) for the considered problem.

很多酒店, 特别是私人、家庭经营型、或者精品酒店, 在客人预定后立刻分派指定的房间给客人。这往往是因为独立房间售卖（没有特殊房型概念）或者因为客人在预定时, 工作人员手动指派房间, 亦或者是因为预订系统与渠道管理系统链接, 直接在预定后指派房间号。这种早期的分派程序是不优化的, 往往在酒店住房率高的时候, 会造成一些不必要的房间预定失败, 继而带来的利润损失。本论文旨在研究不同房间指派参数配置, 包括最优系统（RoomTetris）, 使得酒店达到更高住房率的同时产生高利润。

本论文采用理论讨论和实验等研究方法, 并展示了提出的RoomTetris参数的最优性。本论文还将其参数放在不同的情景中做实验, 以显示其提高酒店针对随机或者次优化分派的最佳启发式策略中的住房率。

研究结果表明智能型分派参数能够大大降低预定失败率（预定需求不能符合酒店房型供给）, 并且提高住房率和利润。住房时间并不是必须的参数, 极具个性化服务, 比如让客人选房间号, 可能导致利润损失（因为最优房间分派无法实现）, 房型的设计也应该参与到最优房间分派的效果中来。

预定取消和超额预定的情况也应该加入到分析中来。第二种对于拥有不止一种房型的酒店来说, 可能增加房间分派的情况在于为客人升级房型, 这样可以将客人转到其他适合房型以解决房间分派问题。此外, 更复杂系统兼容财务管理系统应该被考量, 有的时候, 房间的成本取决于客人的数量。

由于最优算法的住房率区别在于旺季和高预定时段, 也就是高房间价格和高预定量, 本论文提出的最佳算法将提高主要财务指标, 比如RevPAR（平均客房收益）。由于房间分配系统可以完全实现自动化, 那么采用智能分派系统无疑是有效酒店管理中的优质选择。

据作者所知, 此文章是首篇关于此类话题的研究优质算法（且被证实其最佳）。

Prior research in tourism and hospitality domain calls for closer attention to model specification when using partial least square-structural equation modeling (PLS-SEM), including the choice of software and algorithm for PLS model estimation. This paper aims to illustrate the significance of choosing appropriate algorithms for testing the nature of relationships by comparing findings using two different PLS-SEM software packages.

Using a field experiment, relationships between visual servicescape aesthetics and affective responses are conceptualized based on literature in environmental psychology and marketing domains. With photographic surrogates as stimuli in two different hospitality service contexts – spa and upscale restaurant – data are collected from 350 respondents.

By comparing results of SmartPLS 3.2 and WarpPLS 5.0 software and theoretical understanding from environmental psychology literature, it is illustrated that the results and their interpretations may not be in line with theory if model specifications are not correctly implemented and are not addressed through usage of software with a relevant algorithm to test them.

The study highlights the implications for model specification issues such as type of variables and nature of relationships that tourism and hospitality researchers often face and also how use of appropriate algorithms can overcome limitations of model testing for complex models and provide empirical rigor to support theory.

本论文使用两种不同的PLS-SEM处理软件来测试理论模型。通过解析模型设定参数问题, 特别是通过结构关系本性分析, 本论文指出选择合适的软件测试模型在酒店旅游领域的PLS研究中是非常关键的。

本论文借助图像拍摄手段采用实验的采样方式, 在两个不同的酒店服务场所—按摩和高档餐厅—搜集350份数据。本论文采用Smart PLS 3.2 和Warp PLS 5.0 软件来测试PLS-SEM。 这两款软件支持线性和非线性理论关系的比较。

通过Smart PLS 3.2 和Warp PLS 5.0 软件得出的报告结果分析, 不同软件处理PLS得出的结果可能有偏差, 而且会不符合理论设定。如果模型设定参数不正确, 通过使用合适的PLS-SEM软件和相关的数据分析加以辅助, 可能会解决参数不正确的问题。

本论文的比较分析结果可能会帮助到酒店和旅游领域的研究者们, 在做对有关PLS-SEM软件选择的时候, 哪些软件可以更加合适的测试模型有着参考意义。

本论文重点指出了模型设定参数的相关问题, 比如旅游酒店领域常见的变量种类和关系属性等。本论文还研究了如何选择合适的数据分析方法来克服测试复杂模型时的限制, 并且提供实践结果来支撑理论。

The purpose of this study is to analyse the suitability of photo-sharing platforms, such as Flickr, to extract relevant knowledge on tourists’ spatial movement and point of interest (POI) visitation behaviour and compare the most prominent clustering approaches to identify POIs in various application scenarios.

The study, first, extracts photo metadata from Flickr, such as upload time, location and user. Then, photo uploads are assigned to latent POIs by density-based spatial clustering of applications with noise (DBSCAN) and k-means clustering algorithms. Finally, association rule analysis (FP-growth algorithm) and sequential pattern mining (generalised sequential pattern algorithm) are used to identify tourists’ behavioural patterns.

The approach has been demonstrated for the city of Munich, extracting 13,545 photos for the year 2015. POIs, identified by DBSCAN and k-means clustering, could be meaningfully assigned to well-known POIs. By doing so, both techniques show specific advantages for different usage scenarios. Association rule analysis revealed strong rules (support: 1.0-4.6 per cent; lift: 1.4-32.1 per cent), and sequential pattern mining identified relevant frequent visitation sequences (support: 0.6-1.7 per cent).

As a theoretic contribution, this study comparatively analyses the suitability of different clustering techniques to appropriately identify POIs based on photo upload data as an input to association rule analysis and sequential pattern mining as an alternative but also complementary techniques to analyse tourists’ spatial behaviour.

From a practical perspective, the study highlights that big data sources, such as Flickr, show the potential to effectively substitute traditional data sources for analysing tourists’ spatial behaviour and movement patterns within a destination. Especially, the approach offers the advantage of being fully automatic and executable in a real-time environment.

The study presents an approach to identify POIs by clustering photo uploads on social media platforms and to analyse tourists’ spatial behaviour by association rule analysis and sequential pattern mining. The study gains novel insights into the suitability of different clustering techniques to identify POIs in different application scenarios.

本论文旨在分析图片分享平台Flickr对截取游客空间动线信息和景点（POI）游览行为的适用性, 并且对比最知名的几种聚类分析手段, 以确定不同情况下的POI。

本论文首先从Flickr上摘录下图片大数据, 比如上传时间、地点、用户等。其次, 本论文使用DBSCAN和k-means聚类分析参数来将上传图片分配给POI隐性变量。最后, 本论文采用关联规则挖掘分析（FP-growth参数）和序列样式勘探分析（GSP参数）以确认游客行为模式。

本论文以慕尼黑城市为样本, 截取2015年13,545张图片。POIs由DBSCAN和k-means聚类分析将其分配到有名的POIs。由此, 本论文证明了两种技术对不同用法的各自优势。关联规则挖掘分析显示了显著联系（support：1%−4.6%；lift：1.4%−32.1%）, 序列样式勘探分析确立了相关频率游览次序（support：0.6%−1.7%。

本论文的理论贡献在于, 根据图片数据, 通过对比分析不同聚类分析技术对确立POIs, 并且证明关联规则挖掘分析和序列样式勘探分析各有千秋又互相补充的分析技术以确立游客空间行为。

本论文的现实意义在于, 强调了大数据的来源, 比如Flickr,证明了其对于有效代替传统数据的潜力, 以分析在游客在一个旅游目的地的空间行为和动线模式。特别是这种方法实现了实时自动可操作性等优势。

本论文展示了一种方法, 这种方法通过聚类分析社交媒体上的上传图片以确立POIs, 以及通过关联规则挖掘分析和序列样式勘探分析来分析游客空间行为。本论文对于不同聚类分析以确立不同适用情况下的POIs的确立提出了独到见解。

This study aims to analyse online customer experience in the hospitality industry through dynamic topic modelling (DTM) and net promoter score (NPS). A novel model that was used for collecting, pre-processing and analysing online reviews was proposed to understand the hidden information in the corpus and gain customer experience.

A corpus with 259,470 customer comments in English was collected. The researchers experimented and selected the best K parameter (number of topics) by perplexity and coherence score measurements as the input parameter for the model. Finally, the team experimented on the corpus using the Latent Dirichlet allocation (LDA) model and DTM with K coefficient to explore latent topics and trends of topics in the corpus over time.

The results of the topic model show hidden topics with the top high-probability keywords that are concerned with customers and the trends of topics over time. In addition, this study also calculated and analysed the NPS from customer rating scores and presented it on an overview dashboard.

The data used in the experiment are only a part of all user comments; therefore, it may not reflect all of the current customer experience.

The management and business development of companies in the hotel industry can also benefit from the empirical findings from the topic model and NPS analytics, which will support decision-making to help businesses improve products and services, increase existing customer satisfaction and draw in new customers.

This study differs from previous works in that it attempts to fill a gap in research focused on online customer experience in the hospitality industry and uses text analytics and NPS to reach this goal.

本研究旨在通过动态主题建模和净推荐值分析酒店业的在线客户体验。 提出了一种用于收集、预处理和分析在线评论的新模型, 以了解语料库中的隐藏信息并获得客户体验。

收集了一个包含 259,470 条英文客户评论的语料库。 研究人员通过 Perplexity 和 Coherence Score 测量结果进行了实验, 并选择了最佳的 K 参数（主题数量）作为模型的输入参数。 最后, 团队使用 Latent Dirichlet allocation (LDA) 模型和具有 K 系数的 Dynamic Topic Model (DTM) 在语料库上进行实验, 以探索语料库中的潜在主题和主题随时间变化的趋势。

主题模型的结果显示了隐藏的主题, 其中包含与客户相关的顶级高概率关键字以及主题随时间的变化趋势。 此外, 该研究还根据客户评分计算和分析净推荐值 (NPS), 并将其显示在概览仪表板上。

实验中使用的数据只是所有用户评论的一部分; 因此, 它可能无法反映所有当前的客户体验。

酒店业公司的管理和业务发展也可以受益于主题模型和 NPS 分析的实证结果, 这将支持决策制定, 帮助企业改进产品和服务, 提高现有客户满意度, 并吸引新客户 .

本研究不同于以往的研究, 因为它试图填补以酒店业在线客户体验为重点的研究空白, 并使用文本分析和 NPS 来实现这一目标。

This study aims to incorporate visitors’ preferences for sustainable development into the policy framework of Rainforest Discovery Centre (RDC), Sabah, Malaysia.

A stated preference technique known as choice experiment (CE) method is used in this study. Four management attributes, namely, information provision (IP), protection level (PL), guided tour (GT) and entrance fee (FEE), were identified as the most relevant aspects of the RDC in Sabah. Two econometrics models which are conditional logit and random parameter logit were estimated to achieve the purpose of the study.

This study finds that visitors support the proposed development of RDC. The alteration of protection level (i.e. improvement of “PL” attribute) is the most concerning matter among visitors. Since the random parameter logit model revealed that PL is specified as random, the individual heterogeneity exists for PL.

The current issues in ecotourism were studied and integrated into the methodology. A unique and comprehensive policy structure was developed, and enables to respond with any contemporary issues linked to protected areas (PA) without neglecting the natural and cultural endowments.

This study presents an in-depth understanding of visitors’ preferences in the ecotourism industry and used CE as a mechanism tool to explore visitors’ preferences. This study incorporates the conceptualisation of visitors’ preferences and sustainable tourism development into the PA framework structure.

这项研究的目标是将游客的偏好纳入马来西亚沙巴的热带雨林探索中心(RDC)的政策框架中以促进可持续性发展。

种陈述偏好的技术称为选择实验(CE)的方法被采用在本文。,其中四个管理属性; 包括资讯供应(IP) 、 保护水平(PL) 、导游陪同的旅游(GT) 和入门收费(FEE), 视为沙巴RDC最相关的方面。,另外两项計量經濟模型有条件Logit和随机参数Logit模型也被用以估计来达到研究目的。

这项研究发掘游客是支持RDC的拟开发。,保护级别的改造（即“ PL”属性的改进）也是访客中最关注的事。,由于随机参数Logit模型被指定为随机, 因此PL是存在个别异质性。

此项研究研证了生态旅游中的当前问题, 并且将其综合到方法论中。,研发了独特而全面的政策结构, 以便能应对任何与受保护区域相关的当前问题, 同时非忽视自然和文化禀赋。

这项研究使用了CE作为一种机制来探索游客的偏好, 及深入了解生态旅游业中游客的偏好。,此项研结合游客偏好和可持续旅游业发展的概念并纳入了PA框架结构。

Este estudio tiene como objetivo incorporar las preferencias de los visitantes por el desarrollo sostenible en el marco de políticas de Rainforest Discovery Centre (RDC), Sabah, Malasia.

En este estudio se utiliza una técnica de preferencia declarada que se conoce como método del experimento de elección (CE). Cuatro atributos de gestión, a saber, suministro de información (PI), protección nivel (PL), visita guiada (GT) y tarifa de entrada (FEE) fueron identificados como los aspectos más relevantes de la RDC en Sabah. Dos modelos econométricos que son logit condicional y logit de parámetro aleatorio fueron estimado para lograr el propósito del estudio.

Este estudio encuentra que los visitantes apoyan el desarrollo propuesto de RDC. La alteración de El nivel de protección (es decir, la mejora del atributo "PL") es el asunto más preocupante entre los visitantes. Ya que El modelo logit de parámetros aleatorios reveló que PL se especifica como aleatorio, la heterogeneidad individual existe para PL.

Los temas actuales en ecoturismo fueron estudiados e integrados en la metodología. Se desarrolló una estructura de política única y completa que permite responder con los temas contemporáneos vinculados a las áreas protegidas (AP) sin descuidar los aspectos naturales y culturales dotaciones.

Este estudio presenta una comprensión profunda de las preferencias de los visitantes en el industria del ecoturismo y utilizó CE como una herramienta de mecanismo para explorar las preferencias de los visitantes. Este estudio incorpora la conceptualización de las preferencias de los visitantes y el desarrollo del turismo sostenible en el Estructura del Marco PA.

This study aims to examining how tourists’ activities condition the relationship between destination image, satisfaction and loyalty.

This study used a constructive replication design (CRD) to investigate the alleged critical role of tourism activities in impacting the tourism experience dimensions of image, satisfaction and loyalty. The CRD approach does not include new concepts or original relationships. However, what is new in the established relationship between image, satisfaction and loyalty is discerning the role of tourism activities as a moderator conditioning the relationship between the three dimensions. The purpose is to establish the external validity of previous studies’ findings through a more stringent test of the findings’ replicability. The analysis used partial least square modeling to examine the relationship between activities, dimensions and multigroup analysis to estimate potential significant differences in group-specific parameters, which are not often used in destination analysis, ensuring rigor in the data analysis and model. The number and type of activities practiced moderate the relationships between these constructs.

The results indicate that tourists’ type and several destination activities moderate the relationship between tourists’ satisfaction, perceived image and loyalty. The results also suggest that the more destination activities tourists practice, the greater is their satisfaction. These two theoretical propositions put activities at the center of destination management and marketing and identify potential experiential consumption spheres. The analysis of activities’ central role is a productive research field.

This study made several recommendations to destination managers to increase activities participation such as strategic marketing opportunities, expansion of the activities portfolio with sports, wellness, nature based and life observation wildlife, voluntary and educational activities, revamping of the UNESCO heritage site and festivals. This study also recommended a strategic use of technology for information dissemination, the design of a daily activity agenda based on the identified segments’ activity patterns and a destination one-stop online travel shopping.

To the best of the authors’ knowledge, this study is the first to apply the tourism activity-based approach to examine actual tourist behavior regarding their engaged activities instead of their experience or perceptions with those activities in a small island destination. Another contribution lies in examining if tourists’ type and activity engagement moderate the relationship between tourists’ satisfaction, perceived image and loyalty. This paper requires researchers to consider tourism activities’ impact on tourists’ image, satisfaction and loyalty.

小型海岛旅游目的地的旅游活动, 形象, 和旅客的满意度和忠诚度

本案例研究考察了旅游活动如何影响目的地形象、游客满意度和忠诚度之间的关系。

本研究采用建设性复制设计 (CRD) 来分析旅游活动在影响目的地形象、游客满意度和忠诚度等三个旅游体验维度起到的关键作用。 CRD 方法并没有引进新概念或关系。然而, 本研究新颖的地方在于认证旅游活动在目的地形象、游客满意度和忠诚度三个维度之间建立的调节关系。该研究通过严格测试研究结果的可复制来建立先前研究的外部有效性。该分析使用 PLS建模 和多组分析（MGA）来检验旅游活动和旅游体验的多维度之间的关系和估计特定组参数的潜在显著差异。 这些参数在目的地研究中不常使用, 从而确保我们数据分析和模型的严谨性。该研究结果表明旅游活动的数量和类型调节了这些旅游体验维度的关系。

研究结果表明游客的类型和某些旅游活动调节了游客满意度、目的地形象和忠诚度之间的关系。结果还表明, 游客参与的活动越多, 他们的满意度就越高。这两个研究结果确定了旅游活动在目的地管理和营销的中心地位, 同时也指出了潜在体验消费的范围。研究目的地活动的核心作用将会是一个富有成效的领域。

本研究首次应用基于旅游活动的理论方法 (TAB) 来检查旅客在小型海岛旅游目的地的实际行为, 而不是他们的体验或看法。本研究的另一个贡献在于检验游客的类型和活动参与是否会调节他们满意度、感知目的地形象和忠诚度之间的关系。该论文结果表明未来的研究需要考虑旅游活动对目的地形象、游客满意度和忠诚度的影响。

本研究向目的地管理人员提出了几项建议以提高旅游活动的参与度, 例如战略营销机会、扩大运动、康养、大自然和野生动物观摩的活动组合、志愿和教育活动、和改善联合国教科文组织遗产地和节日。该研究还建议战略性地使用技术进行信息传播, 根据确定的细分市场活动模式设计游客日常活动议程, 以及目的地一站式在线旅游购物。

Este caso de estudio examina cómo las actividades de los turistas condicionan la relación existente entre la imagen del destino, la satisfacción y la fidelidad.

El estudio empleó una replicación constructiva para investigar el supuesto papel crítico de las actividades turísticas en el efecto de la imagen, satisfacción y lealtad de los turistas en su experiencia turística. El enfoque usado no incluye nuevos conceptos ni relaciones originales. Sin embargo, lo novedoso de la relación establecida entre imagen, satisfacción y fidelidad es discernir el papel de las actividades turísticas como moderadoras condicionando la relación entre las tres dimensiones. El propósito es establecer la validez externa de los resultados de estudios previos a través de una prueba más estricta sobre la replicabilidad de dichos resultados. El análisis utilizó un modelo PLS para examinar la relación entre las actividades, las dimensiones mencionadas y el análisis multigrupo con el objetivo de estimar las posibles diferencias significativas entre los parámetros de cada grupo, método no se utiliza con frecuencia en el análisis de destinos turísticos, lo que garantiza el rigor de nuestro análisis y del modelo. El número y tipo de actividades practicadas moderan las relaciones entre los constructos.

Los resultados indican que el tipo de turistas y las diversas actividades del destino moderan la relación entre la satisfacción, la imagen percibida y la lealtad de los turistas. Los resultados también sugieren que cuantas más actividades del destino sean practicadas por los turistas, mayor es su satisfacción. Estas dos propuestas teóricas sitúan las actividades en el centro de la gestión y el marketing de destinos e identifican esferas potenciales de consumo experiencial. El análisis del papel central de las actividades es un campo de investigación en auge.

Este estudio es el primero en aplicar el enfoque basado en actividades turísticas para analizar el comportamiento del turista con respecto a las actividades realizadas en relación con su experiencia o percepciones con esas actividades en un destino insular pequeño. Otra contribución radica en estudiar si el tipo de turista y su compromiso con la actividad moderan la relación entre la satisfacción de los turistas, la imagen percibida y la fidelidad. El estudio sugiere que los investigadores deben considerar el impacto de las actividades turísticas en la imagen, satisfacción y fidelidad de los turistas.

El estudio realiza varias recomendaciones a los administradores de destinos para aumentar la participación en actividades, como oportunidades de marketing estratégico, expansión de la cartera de actividades con deportes, bienestar, observación de la vida y la naturaleza basada en la naturaleza, actividades voluntarias y educativas, renovación del sitio del patrimonio de la UNESCO y festivales. El estudio también recomendó un uso estratégico de la tecnología para la difusión de información, el diseño de una agenda de actividades diarias basada en los patrones de actividad de los segmentos identificados y una ventanilla única de viajes en línea.

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.

This paper aims to examine key parameters of scholarly context and geographic focus and provide an assessment of theoretical underpinnings of studies in the field of social media and visitor mobility. This review also summarised the characteristics of social media data, including how data are collected from different social media platforms and their advantages and limitations. The stocktake of research in this field was completed by examining technologies and applied methods that supported different research questions.

This literature review applied a mix of methods to conduct a literature review. This review analysed 82 journal articles on using social media to track visitors’ movements between 2014 and November 2020. The literature compared the different social media, discussed current applied theories, available technologies, analysed the current trend and provided advice for future directions.

This review provides a state-of-the-art assessment of the research to date on tourist mobility analysed using social media data. The diversity of scales (with a dominant focus on the city-scale), platforms and methods highlight that this field is emerging, but it also reflects the complexity of the tourism phenomenon. This review identified a lack of theory in this field, and it points to ongoing challenges in ensuring appropriate use of data (e.g. differentiating travellers from residents) and the ethics surrounding them.

The findings guide researchers, especially those with no computer science background, on the different types of approaches, data sources and methods available for tracking tourist mobility by harnessing social media. Depending on the particular research interest, different tools for processing and visualization are available.

利用社交媒体了解游客的流动性：信息技术和大数据的作用

本综述审查了学术背景的关键参数和案例调查的地理焦点, 并评估了社交媒体和访客流动领域研究的理论基础。本文章还总结了社交媒体数据的特征, 包括如何从不同社交媒体平台收集数据及其优势和局限。 此外本论文通过研究不同的应用方法和总结相关技术来完成的。

本研究提供了最新的使用社交媒体数据分析游客流动性研究的评估。比如案例分析的地理大小（主要集中在城市尺度）、社交媒体平台和方法的多样性突出了该领域的新兴, 但复杂旅游流动现象。审查发现利用社交媒体进行的研究缺乏理论贡献, 并指出在确保适当使用数据（例如区分旅行者与居民）和围绕他们的道德规范方面存在持续挑战。

研究结果指导研究人员, 尤其是那些没有计算机科学背景的研究人员, 了解不同类型的方法、数据来源和方法, 可用于通过利用社交媒体来跟踪旅游流动性。根据特定的研究兴趣, 可以使用不同的处理和可视化工具。

关键词：旅游模式; 游客流动; 游客轨迹; 社交媒体; 信息技术; 大数据

文章类型： 文献评论

Uso de las redes sociales para comprender la movilidad turística: el papel de la tecnología de la información y los macrodatos

En este estudio se examinan los parámetros clave en el contexto académico y enfoque geográfico y se evalúan los fundamentos teóricos de estudios en el campo de las redes sociales y la movilidad de los visitantes. Se resumen también las características de datos de las redes sociales, incluidos los métodos de recopilación de datos de las diferentes plataformas de redes sociales así como sus ventajas y limitaciones. Finalmente, se examinan tecnologías y métodos aplicados que respaldan las diferentes cuestiones de la investigación.

El estudio proporciona una evaluación avanzada del conocimiento hasta la fecha sobre la movilidad turística analizada utilizando datos de redes sociales. La diversidad de escalas (con un enfoque dominante en la escala de la ciudad), plataformas y métodos indica que este campo está en auge, pero también refleja la complejidad del fenómeno turístico. En este estudio se identifica una falta de teoría en este campo y se señalan los contúnios desafíos para garantizar el uso apropiado de datos (por ejemplo, diferenciar a los viajeros de los residentes) y la ética que los rodea.

los resultados guían a los investigadores, especialmente a aquellos sin formación en informática, sobre los diferentes tipos de enfoques, fuentes de datos y métodos disponibles para rastrear la movilidad turística mediante el uso de las redes sociales. Existen diferentes herramientas de procesamiento y visualización disponibles dependiendo del interés particular de la investigación.

Patrones de viaje; Movilidad turística; Movimientos de visitantes; Redes sociales; Tecnologías de la información; Macrodatos.

As technology in tourism and hospitality (TTH) develops technical artifacts according to visitors’ demands, it must deal with both behavioral and design constructs in the context of structural equation modeling (SEM). While behavioral constructs are typically modeled as common factors, the study at hand introduces the composite into TTH to model artifacts. To deal with both kinds of constructs, this paper aims to exploit partial least squares path modeling (PLS-PM) as a confirmatory approach to estimate models containing common factors and composites.

The study at hand presents PLS-PM in its current form, i.e. as a full-fledged approach for confirmatory purposes. By introducing the composite to model artifacts, TTH scholars can use PLS-PM to answer research questions of the type “Is artifact xyz useful?”, contributing to a further understanding of TTH. To demonstrate the composite model, an empirical example is used.

PLS-PM is a promising approach when the model contains both common factors and composites. By applying the test for overall model fit, empirical evidence can be obtained for latent variables and artifacts. In doing so, researchers can statistically test whether a developed artifact is useful.

To the best of the authors’ knowledge, this is the first study to discuss the practical application of composite and common factor models in TTH research. Besides introducing the composite to model artifacts, the study at hand also guides scholars in the assessment of PLS-PM results.

因为旅游酒店科技（TTH）根据游客需求而定制科技产品, TTH必须在结构方程模型（SEM）下结合游客行为和设计等变量。一般行为变量在模型中是常见因子, 本研究将这些变量编入TTH结构成为模块。本研究采用PLS-PM方法来预估含有隐性变量和模块的模型。.

本研究设计PLS-PM模式, 即确定性全变量方法。TTH学者们通过引进结构形成模型模块, 使用PLS-PM研究方法, 以回答研究问题“模块xyz有用吗？”, 因此对TTH进一步理解。为了展示复合模型, 本论文采用实际验证。.

PLS-PM在面对模块内存在常见因子和复合模块的结构时是有力方法。实际验证结果通过整体最佳模型参数, 得到隐性变量和模块。为此, 研究者们能够在统计方法上测量是否开发的模型模块是否有用。.

据作者所知, 本论文是首个研究在TTH领域上应用模块和常见因子模型。本研究引进显性变量在模型模块中, 以指导学者评估PLS-PM结果报告。.

The purpose of this paper is to explore the sensitive parameters affecting the friction resistance of sliding bearings under different interface slip conditions and the influence of the texture position of circular pits on the friction force of sliding bearings.

Based on the mechanical equilibrium equation and Newton's viscous fluid mechanics formula and wedge oil film model, the calculation model of sliding bearing friction resistance under interface slip state is established, and the influence of interface slip on friction resistance under different slip conditions is analyzed by means of ANSYS. Friction simulation model of circular pit textured journal bearing under different interface slip conditions.

The friction resistance of bearings is mainly determined by journal linear velocity, oil film slip ratio, pressure of inlet and outlet of bearings, oil film thickness and bearing capacity. When both the upper and lower surfaces of the oil film slip, the friction resistance decreases significantly, which is only 4-17 per cent of that without slip. And the friction force of the texture model of circular pit at the exit is better than that at the entrance and the middle of the pit.

Relevant research results will lay a new theoretical foundation for friction reduction and optimization design of sliding bearings.