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The tourism industry is seeing unprecedented growth due to the convergence of the internet and growing travel trends. E-tourism digitises the tourism business, including processes, value chains, infrastructure, services and auxiliary industries, to maximise efficiency and effectiveness. It is in response to the globalisation of the tourism sector, which has spurred the introduction of information and communications technologies (ICTs) during the past four decades. ICT can boost travellers' satisfaction by providing pre-trip information about tourism attractions and allowing them to contact vendors directly, obtain accurate information and get the lowest price.

ICT has made the global tourism sector more competitive by providing pre-trip information about tourism attractions, allowing tourists to contact vendors directly, obtain accurate information and get the lowest price. Search engines, transport capacity and network speeds have increased the number of international travellers who use technology to organise and document their trips. E-tourism reduces seasonality, improves consumer communication and boosts reservations and sales. ICT also affects customer behaviour management and future marketing models and supports tourism industry globalisation by providing practical tools to tourism agents to develop and disseminate their offers globally. Strategic behaviours significantly impact tourism, as eliminating intermediaries shortens the distance between client and provider. ICT is a new way to boost tourism demand, which attracts more tourists and generates more revenue while improving the sector.

The present study aims to examine whether leisure time posts shared on WhatsApp status drive to travel and tourism consumption among users.

In this study, discriminant analysis was employed to test hypotheses and identify essential factors.

The study indicated that the eight most contributing factors are expressing happiness, planning leisure time, views and comments, attractiveness, inquiring about places, preferring to post, nice way of expression and relax. These factors came from the latent variables of attitude, motivation and self-expression. Overall, the main influencing factors are internal (attitude and motivation), followed by an external factor i.e. self-expression. Additionally, the findings indicated that these significantly and positively impact travel and tourism consumption.

The discriminators identified in the study would guide tour and travel agencies and the agencies' managers on how best to adopt WhatsApp and WhatsApp's status application to influence aspiring travelers.

This study enlarges the existing literature by integrating three factors, attitude, motivation and self-expression, into a model to influence the behavioral outcomes of aspirational travelers using WhatsApp status.

The purpose of this paper is to investigate the unexplored part of the historical evolution of travel agencies in Spain, from the end of the 20th century to the 21st century. When examining promotion strategies, the study focuses on the change in marketing and public relations strategies based on the incorporation of information and communication technologies and, in particular, the use of the internet.

This study draws on a qualitative analysis of the different strategies used by traditional agencies and online agencies in Spain from the mid-19th century to the present. This analysis shows how traditional communication strategies survived at the beginning of the 21st century, together with other more innovative ones, while some disappeared, being eliminated by the new online travel agencies, which created a particular conception of marketing and communication. This paper is divided into the following parts: the introduction; the beginnings of travel agency promotion in the 20th century; the evolution of promotion in travel agencies since the late 20th century; communication innovation at the beginning of the 21st century; online travel agencies; and conclusions.

This study shows that although online agencies did not manage to position themselves with a large turnover, they generated advantages and sharpened their imagination to create a new, more economical advertising model, eliminating the costs of public relations and advertising campaigns. In addition, they allowed clients to have greater independence when making their reservations, while enabling them to monitor the tastes of potential and real clients and add blogs so that consumers could express their degree of satisfaction with the product or services provided by the agency.

The focus of attention is the travel agency sector in Spain and, more specifically, communication. Studies on travel agencies and their marketing have been very scarce and partial, impeding professionals in the tourism sector from having a broad vision to direct their promotional and public relations actions. The originality of this article lies in its making a comparison between two different visions of tourism marketing and, specifically, of travel agencies, that is, the traditional vision and the innovative one. It thus helps all professionals in the sector to value and improve their marketing and communication strategies.

Senior travelers are an attractive market segment and increasingly participate in an internet-mediated society. This chapter examines the profile of senior tourists who booked their trip to the Azores using online travel agencies. The purpose is to analyze their motivation factors based on the travel motivation scale for senior tourists, using 17 items related to the motivations for visiting the destination, and to ascertain whether there are different groups of senior tourists based on sociodemographic characteristics, travel motivations, and experiences performed. Using a structured questionnaire and a sample of senior tourists, three distinct clusters are obtained.

This paper aims to explore how different levels of involvement in the prevacation phase affect vacationers’ subsequent satisfaction, word of mouth (WOM) recommendations and loyal behavior with regard to the planning/booking process.

Data from a field study (N = 5,158) in a travel planning context are used to investigate the differences in WOM recommendations and loyalty between self-packagers (higher involvement) and package buyers (lower involvement).

Tourists who are less involved in the prevacation phase are more likely to recommend the planning/booking process, while more involved tourists are more likely to repeat the same planning/booking process than package buyers.

The findings have implications for tourist agencies, tour operators, tourism suppliers and tourism marketers in terms of customer retention and WOM communication. These findings also have theoretical implications for the WOM and loyalty literature.

This paper reveals how involvement in travel planning may affect satisfaction, WOM recommendation and loyalty behavior. These relationships have not been investigated before.

本文探讨了度假规划和预订模式的选择（自我安排行程与购买套餐）是否会影响度假者随后的满意度、口碑（WOM）推荐以及与规划和预订过程相关的忠诚行为。

使用在旅游规划背景下的一项实地研究（N = 5158）数据来研究自我安排行程者与套餐购买者之间的WOM推荐和忠诚度的差异。

较之自我安排行程者, 套餐购买者更有可能推荐规划/预订过程, 而自我安排行程者比套餐购买者更有可能重复相同的规划过程。

本文对参与旅游规划如何影响满意度、WOM推荐和忠诚度行为进行了深入探讨。尚无研究对这些关系进行探讨。

研究结果对旅游机构、旅游经营者、旅游供应商和旅游营销人员的客户保留和客户WOM沟通有启发意义。研究结果对WOM和忠诚度文献也有理论上的意义。

Este artículo explora si la elección de la planificación de vacaciones y la modalidad de reserva (independiente vs compra de paquetes) afecta la satisfacción posterior de los turistas, las recomendaciones boca a boca (WOM) y la fidelización relacionada con el proceso de planificación y reserva.

Se utilizaron datos de un estudio de campo (N = 5158) en un contexto de planificación de viajes para investigar las diferencias en las recomendaciones WOM y la fidelización entre viajeros independientes (mayor participación) y compradores de paquetes (menor participación).

Es más probable que los compradores de paquetes recomienden el proceso de planificación/reserva que los viajeros independientes, mientras que estos últimos tienen más probabilidades de repetir el mismo proceso de planificación que los compradores de paquetes.

El documento proporciona información sobre la manera como la participación en la planificación de viajes puede afectar la satisfacción, recomendaciones WOM y fidelización. Estas correlaciones no han sido investigadas anteriormente.

Estos hallazgos tienen implicaciones para las agencias, operadores, proveedores y comercializadores turísticos en términos de retención de clientes y comunicación WOM con el cliente. Los hallazgos también tienen implicaciones teóricas para el WOM y la literatura sobre fidelización.

This paper aims to investigate the effects of virtual reality experiences (VREs) and emotions on holiday destination visit intentions by applying the stimulus-organism-response (S-O-R) framework. It also examined the role of amateur photography as a moderator in the relationship between VREs, emotions and visit intentions.

Primary data were collected through a structured survey questionnaire administered in India, and structural equation modelling (SEM) was used to examine relationships among variables. The formal survey was preceded by a pilot study. The partial least squares-SEM product indicator technique was applied to measure the moderation effect of amateur photography.

When people have high levels of positive emotions in the pre-travel stage with VRE participation, their intentions to visit destinations are stronger. Amateur photography moderated the relationships between user interactivity, memorable experiences, mental imagery and visit intentions. No significant moderating effect was found between emotional experiences and visit intentions.

The results indicate that creators of virtual reality (VR) communications should concentrate on producing interactive and visually striking VR content, as the research found that VR experiences with tourism-related activities have a significant impact on potential visitor emotions. Therefore, VR producers should incorporate authentic and distinctive elements into contents, giving viewers realistic and trustworthy VR tourism experiences. Destination marketers should evoke emotions in people to increase motivations to visit the VR-presented places. Destination marketers should create VR content with hedonic elements, fostering a connection and desire to visit the destination presented in the VR. For example, destination marketers can enhance the sensory aspects of VR content with audio, video, haptics and artificial intelligence, encouraging people to be emotionally captivated and fully immersed. The findings indicate that amateur photography has a significant moderating effect on prospective tourists’ intentions to visit a place presented in VR. Thus, destination marketers are advised to provide photogenic and relevant content to users. By using amateur photography, destinations can market their attractions to potential visitors in a more interactive and relatable manner. Showcasing images taken by amateur photographers presents a genuine perspective of the offerings, thereby increasing visit intentions among prospective visitors. Additionally, amateur photography helps promote the destination in a positive light, emphasizing the attractions and other offerings, and this encourages potential visitors to consider the destination as a travel option, thereby increasing visit intentions. Encouraging amateur photographers to take and share images also increases their engagement with the destination, creating a sense of community and connection and ultimately driving visit intentions. Destination marketers should embrace VR tourism content as a means of promoting their destinations to potential customers by considering the three crucial elements of memorable experiences, emotional experiences and mental imagery. In essence, destination management organizations and other decision makers should develop complete VR communication plans that incorporate interactive and visually striking activities. This can be done by creating VR experiences for prospective tourists, which will enable them to pick their preferred destinations at the pre-travel stage. Through this approach, an effective destination marketing strategy can be established.

This research has value in making several potential contributions to the tourism applications of VR. It is the first study to use and test the S-O-R framework to analyse tourist behaviour from the perspective of emotions generated by VR applications. The analysis focuses on India’s tourism market, which has not been explored much in the context of VR and from the perspective of a developing country. The research emphasizes the use of VR as a tool to understand tourist behaviour rather than just focusing on visit intentions. The findings provide valuable insights into the importance of VR in tourism. The knowledge generated will contribute to the understanding of the impact of VR experiences on emotions and visit intentions and the moderating effect of amateur photography. It has practical implications for destination marketers in developing effective marketing strategies that enhance tourists’ emotions and motivate visit intentions.

本研究运用刺激-机体-反应(S-O-R)框架, 探讨虚拟现实体验（VREs）和情绪对度假目的地旅游意向的影响。还研究了业余摄影在VREs、情感和访问意图之间的关系中的调节作用。

通过在印度进行的结构化调查问卷收集原始数据, 并使用结构方程模型(SEM)来检查变量之间的关系。在正式调查之前进行了一项试点研究。采用PLS-SEM结果指标方法测量业余摄影的调节效果。

当人们在旅行前的VRE参与阶段拥有高水平的积极情绪时, 他们访问目的地的意愿会更强。业余摄影调节了用户交互性、纪念体验、心理意象和访问意图之间的关系。情绪体验与访问意向之间无显著调节作用。

本研究对虚拟现实的旅游应用有几个可能的贡献。这是第一个使用并测试刺激-生物-反应(S-O-R)框架的研究, 从VR应用产生的情感角度分析游客行为。分析集中于印度的旅游市场, 而在VR的背景下和从一个发展中国家的角度来看, 印度的旅游市场还没有得到太多的探索。该研究强调将VR作为一种了解游客行为的工具, 而不仅仅是关注游客的意图。这些发现为VR在旅游业中的重要性提供了有价值的见解。所产生的知识将有助于理解VR体验对情绪和访问意图的影响以及业余摄影的调节作用。这对目的地营销人员制定有效的营销策略, 增强游客的情绪和激发旅游意图具有实际启示。

Esta investigación analizó los efectos de las experiencias de realidad virtual (VREs) y las emociones en las intenciones de visita a destinos vacacionales aplicando el modelo estímulo-organismo-respuesta (S-O-R). También examinó el papel de la fotografía amateur como moderador en la relación entre las VREs, las emociones y las intenciones de visita.

Los datos primarios se recogieron mediante una encuesta con cuestionario estructurado administrado en la India, y se utilizó la modelización de ecuaciones estructurales (SEM) para examinar las relaciones entre las variables. La encuesta principal fue precedida de un estudio piloto. Se aplicó la técnica PLS-SEM para medir el efecto moderador de la fotografía amateur.

Cuando las personas poseen un alto nivel de emociones positivas en la etapa previa al viaje con participación en VRE, sus intenciones de visitar destinos son más fuertes. La fotografía amateur moderó las relaciones entre la interactividad del usuario, las experiencias memorables, las imágenes mentales y las intenciones de visita. No se encontró ningún efecto moderador significativo entre las experiencias emocionales y las intenciones de visita.

Esta investigación tiene el valor de hacer varias contribuciones potenciales a las aplicaciones turísticas de la realidad virtual. Es el primer estudio que utiliza y pone a prueba el marco estímulo-organismo-respuesta (S-O-R) para analizar el comportamiento de los turistas desde la perspectiva de las emociones generadas por las aplicaciones de RV. El análisis se centra en el mercado turístico de la India, poco explorado en el contexto de la RV y desde la perspectiva de un país en desarrollo. La investigación hace hincapié en el uso de la RV como herramienta para comprender el comportamiento de los turistas, en lugar de centrarse únicamente en las intenciones de visita. Las conclusiones aportan valiosas ideas sobre la importancia de la RV en el turismo. Los conocimientos generados contribuirán a comprender el impacto de las experiencias de RV en las emociones y las intenciones de visita, así como el efecto moderador de la fotografía amateur. Se presentan implicaciones prácticas para los responsables de marketing de los destinos turísticos a la hora de desarrollar estrategias de marketing eficaces que potencien las emociones de los turistas y motiven las intenciones de visita.

The concept of green urban mobility has emerged as one of the best approaches for promoting environmental-friendly transportation in local communities. Green urban mobility aims to reshape public transportation system and enhance mobility, with emphasis on deploying digital technologies to promote sustainable public transportation. Therefore, this study aims to analyze existing public transportation policies by exploring how local communities can facilitate green urban mobility by developing a sociotechnical urban-based mobility model highlighting key factors that impact regions transitioning toward sustainable transportation.

This study investigates “the role of data for green urban mobility policies toward sustainable public transportation in local communities” in the form of a systematic literature review and insights from Norway. Secondary data from the literature and qualitative analysis of the national transport plan document was descriptively analyzed to provide inference.

Findings from this study provides specific measures and recommendations as actions for achieving a national green mobility practice. More important, findings from this study offers evidence from the Norwegian context to support decision-makers and stakeholders on how sustainable public transportation can be achieved in local communities. In addition, findings present data-driven initiatives being put in place to promote green urban mobility to decrease the footprint from public transportation in local municipalities.

This study provides green mobility policies as mechanisms to be used to achieve a sustainable public transportation in local communities. Practically, this study advocates for the use of data to support green urban mobility for transport providers, businesses and municipalities administration by analyzing and forecasting mobility demand and supply in terms of route, cost, time, network connection and mode choice.

This study provides factors that would promote public and nonmotorized transportation and also aid toward achieving a national green urban mobility strategy. Socially, findings from this study provides evidence on specific green urban mobility measures to be adopted by stakeholders in local communities.

This study presents a sociotechnical urban-based mobility model that is positioned between the intersection of “human behavior” and “infrastructural design” grounded on the factors that influence green urban mobility policies for local communities transiting to a sustainable public transportation. Also, this study explores key factors that may influence green urban mobility policies for local communities toward achieving a more sustainable public transportation leading to a more inclusive, equitable and accessible urban environment.

Voice command and voice search are becoming increasingly popular in the hospitality and tourism industry, with many hotels and travel companies investing in voice-enabled technology to improve guest experiences and streamline operations. This technology allows travellers to manage their travel plans, request services and get information through natural voice commands on any voice-enabled device. Voice assistants are also multilingual, allowing hotels to customise responses to guests who do not speak the local language. Angie, a multilingual, in-room voice assistant, is an example of this technology. It can fulfil guest requests, answer common questions about the property and create streamlined access to a wide range of hotel amenities, such as ordering room service or requesting extra towels. Hotels can control questions and responses to assist stretched staff and provide upsell and advertising revenue through digital promotions or recommended onsite amenities or discounts. In addition, voice command technology can be used to book travel and find things to do at a destination. Google Assistant can help with travel plans like booking a hotel, checking flight status and finding things to do at a destination. In conclusion, voice command and voice search technology are transforming the hospitality and tourism industry by improving guest experiences, reducing operational costs and increasing revenue.

By analyzing tourist choices in Side and Alanya, well-known destinations for tourists in Türkiye’s thriving urban tourism sector, this study aims to fill a crucial vacuum in the body of knowledge about urban tourism. The study examines the changing dynamics of consumer preferences for advertisements and closely examines the underlying factors that influence these preferences, both pre and post-influential COVID-19 period.

This study clarifies the complex interplay between tourism marketing and prospective tourists’ decision-making processes through a thorough examination. This research greatly improves our understanding of urban tourism marketing strategies by examining the varying effects of advertising channels and comparing the persuasive power of emotional versus numerical advertising messages.

This study’s findings significantly advance our understanding of urban tourism. Examining how visitors react to advertisements in the various urban environments of Side and Alanya offers insightful information on how marketing strategies and visitor preferences correlate. This research also reveals the subtleties of efficient communication techniques, providing a practical basis for improving urban tourism experiences.

Being the first study of its sort, to the best of the authors’ knowledge, this research’s originality is supported by its insights into how advertising, consumer preferences and the urban tourism environment interact. The significant contribution to knowledge highlights the implications for those involved in urban tourism and provides practical advice for improving advertising tactics in the post-COVID-19 age.

The study aims to propose an intelligent real-time traffic model to address the traffic congestion problem. The proposed model assists the urban population in their everyday lives by assessing the probability of road accidents and accurate traffic information prediction. It also helps in reducing overall carbon dioxide emissions in the environment and assists the urban population in their everyday lives by increasing overall transportation quality.

This study offered a real-time traffic model based on the analysis of numerous sensor data. Real-time traffic prediction systems can identify and visualize current traffic conditions on a particular lane. The proposed model incorporated data from road sensors as well as a variety of other sources. It is difficult to capture and process large amounts of sensor data in real time. Sensor data is consumed by streaming analytics platforms that use big data technologies, which is then processed using a range of deep learning and machine learning techniques.

The study provided in this paper would fill a gap in the data analytics sector by delivering a more accurate and trustworthy model that uses internet of things sensor data and other data sources. This method can also assist organizations such as transit agencies and public safety departments in making strategic decisions by incorporating it into their platforms.

The model has a big flaw in that it makes predictions for the period following January 2020 that are not particularly accurate. This, however, is not a flaw in the model; rather, it is a flaw in Covid-19, the global epidemic. The global pandemic has impacted the traffic scenario, resulting in erratic data for the period after February 2020. However, once the circumstance returns to normal, the authors are confident in their model’s ability to produce accurate forecasts.

To help users choose when to go, this study intended to pinpoint the causes of traffic congestion on the highways in the Bay Area as well as forecast real-time traffic speeds. To determine the best attributes that influence traffic speed in this study, the authors obtained data from the Caltrans performance measurement system (PeMS), reviewed it and used multiple models. The authors developed a model that can forecast traffic speed while accounting for outside variables like weather and incident data, with decent accuracy and generalizability. To assist users in determining traffic congestion at a certain location on a specific day, the forecast method uses a graphical user interface. This user interface has been designed to be readily expanded in the future as the project’s scope and usefulness increase. The authors’ Web-based traffic speed prediction platform is useful for both municipal planners and individual travellers. The authors were able to get excellent results by using five years of data (2015–2019) to train the models and forecast outcomes for 2020 data. The authors’ algorithm produced highly accurate predictions when tested using data from January 2020. The benefits of this model include accurate traffic speed forecasts for California’s four main freeways (Freeway 101, I-680, 880 and 280) for a specific place on a certain date. The scalable model performs better than the vast majority of earlier models created by other scholars in the field. The government would benefit from better planning and execution of new transportation projects if this programme were to be extended across the entire state of California. This initiative could be expanded to include the full state of California, assisting the government in better planning and implementing new transportation projects.

To estimate traffic congestion, the proposed model takes into account a variety of data sources, including weather and incident data. According to traffic congestion statistics, “bottlenecks” account for 40% of traffic congestion, “traffic incidents” account for 25% and “work zones” account for 10% (Traffic Congestion Statistics). As a result, incident data must be considered for analysis. The study uses traffic, weather and event data from the previous five years to estimate traffic congestion in any given area. As a result, the results predicted by the proposed model would be more accurate, and commuters who need to schedule ahead of time for work would benefit greatly.

The proposed work allows the user to choose the optimum time and mode of transportation for them. The underlying idea behind this model is that if a car spends more time on the road, it will cause traffic congestion. The proposed system encourages users to arrive at their location in a short period of time. Congestion is an indicator that public transportation needs to be expanded. The optimum route is compared to other kinds of public transit using this methodology (Greenfield, 2014). If the commute time is comparable to that of private car transportation during peak hours, consumers should take public transportation.