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Five factors are a prerequisite for tourism: Ability to travel and motivation to travel on the demand side, and attractiveness, amenities and accessibility on the side of the destination. Concerning the attractiveness of a destination, the factor weather is of particular importance. Until now, there is a lack of empirical data, showing if and how weather affects holiday destination preferences.

There is no doubt: the “Senior Citizens Market” is growing all over Europe. Thus, designing specific marketing strategies and adapting the tourist product to the prospective needs of elderly tourists are becoming more and more important.

Emotion work can be defined as demands to display organizationally desired emotions regarding service-worker–customer interactions, as well as the psychological strategies necessary to regulate these emotional demands. This study applies a task-focused concept of emotion work and uses the Frankfurt Emotion Work Scales (FEWS) in a cross-cultural context to measure emotional work demands. The original German FEWS was translated into English and the extent to which the new English FEWS is equivalent to the original German FEWS is evaluated. Cultural effects on emotion work job demands are demonstrated by comparisons between a US (N=51) and German (N=202) travel agent sample. Cultural comparisons suggest that emotional demands in the US sales service include less emotional dissonance (i.e. the requirement to show emotions not actually felt in a situation) than in Germany. Survey results are discussed in terms of implications for further cross-cultural research.

The purpose of this paper is to learn more about the determinants that influence the tourists’ choice of mode of transport at the destination, and it is intended to contribute to the sustainable mobility of tourists. In line with this approach, the main emphasis is placed on public transport (PT) within the destination.

In addition to illustrating frequency, users and non-users of public transport were analysed. Differences in the selected influencing factors on the choice of the modes of transport are determined using the chi-square test for nominal variables, and statistical significance was determined using Kruskal–Wallis H-test for the ordinal variables.

The analysis illustrates that the most important socio-demographic determinants in public transport use are: age, household size, net household income, car availability and current professional activity. In terms of travel-orientated variables, the arrival transport means, as well as the travel duration, travel expenses and travel organisation stand out.

Although the Reiseanalyse (RA) has been established in German tourism research for many years, the present study is not without limitations. First, the questionnaire of the RA is made up of standard questions that are (nearly) identical year after year and topic-specific questions from one or more customers. The questions used in the present analysis were, therefore, not developed specifically for this contribution. Second, the authors cannot evaluate the existing data in more detail because the data structure does not provide this. Only two variables can be related at a time. Due to financial limitations, the authors could not use the raw data. For this reason, it is not possible to perform mediator analyses or multiple predictions to check relationships between independent variables (such as income, number of cars, profession or age). In this context, it should be noted that the observed differences to the other studies cited can also be because of different methodological approaches of the individual studies. While most of the studies used for comparison include tourists from one overnight stay, this paper focuses on main holiday trips with a duration of five days and more. There are also differences in the survey itself. Most of the face-to-face surveys were conducted on site. The RA, on the other hand, takes place at home with respondents with a time delay after the holiday trip. In this context, it is particularly important to note that these results are representative for the whole of the Federal Republic of Germany, i.e. the domestic holidays of the German-speaking population living in Germany, and that they are not representative for any single city or a similar spatial unit.

Tourism-related mobility negatively effects all (German) destinations. Greater focus on sustainable mobility of tourists, specifically sustainable transportation, is playing an increasingly important role in science and practice. To ensure a successful reorientation, it is crucial to know which factors influence the choice of modes of transport for local tourists. Therefore, this paper analyses selected determinants influencing the choice of modes of transport for tourists. This research is based upon representative data for holiday mobility at destinations during Germans’ domestic holidays. The objective was to learn more about the determinants that influence the tourists’ choice of mode of transport at the destination, and it is intended to contribute to the sustainable mobility of tourists. In line with this approach, the main emphasis is placed on public transport (PT) within the destination.

This study proposes an extension of the theory of planned behaviour (TPB) model to understand international travellers' intentions to visit Spain. This study aims to compare whether the predictive variables of the intention to travel differ depending on nationality. The extension includes: perceived risk, loyalty to the destination, past travel experience, public opinion climate and electronic word-of-mouth (eWOM).

A multiple-indicator, multiple-cause (MIMIC) model was developed as a structural equational model to predict the 1,978 participants' intention to travel. The structural model was used to determine the theoretical model for the total sample and by nationality (Germans, Britons and those from other European countries).

The extended models fitted the data well, explaining 64%–68% of the total variance, while differences depending on tourist nationality were also found. The MIMIC model indicated that German people's intention to travel to a holiday destination was influenced by their perception of risk, eWOM and loyalty to the country. In the British group, only the TPB variables were relevant. For those of other European nationalities, loyalty and eWOM were also significant. Travel experience, used as a variable in previous studies, was shown not to be significant. Overall, these results offer insights into how people from diverse countries and cultures embrace the aforementioned constructs when making travel decisions.

This study also has practical implications for policymakers in holiday tourism destinations, such as Spain. In particular, this study provides a better understanding of Britons' and Germans' travel intentions and could be beneficial for guiding policies for the recovery of the tourism industry in major tourism destinations.

Previous studies have applied various extended TPBs to one specific country or made comparisons between Asian countries. This study’s proposal makes a comparison of the variables used to predict the intention to visit a holiday destination among the European countries.

本研究提出了计划行为理论 (TPB) 模型的扩展, 以了解国际旅行者访问西班牙的意图。目的是比较旅行意图的预测变量是否因国籍而异。扩展包括：感知风险、对目的地的忠诚度、过去的旅行经历、舆论氛围和电子口碑（eWOM）。

开发了一个多指标、多原因 (MIMIC) 模型作为结构方程模型来预测 1,978 名参与者的旅行意图。结构模型用于确定总样本和国籍（德国人、英国人和来自其他欧洲国家的人）的理论模型。

扩展模型很好地拟合了数据, 解释了总方差的 64%–68%, 同时还发现了取决于旅游国籍的差异。 MIMIC 模型表明, 德国人前往度假目的地的意愿受到他们对风险、eWOM 和对国家忠诚度的认知的影响。在英国组中, 只有 TPB 变量是相关的。对于其他欧洲国家的人来说, 忠诚度和 eWOM 也很重要。旅行经验, 在以前的研究中用作变量, 被证明并不重要。总体而言, 这些结果提供了有关来自不同国家和文化的人们在做出旅行决定时如何接受上述结构的见解。

以前的研究已经将各种扩展的 TPB 应用于一个特定的国家或在亚洲国家之间进行了比较。我们的建议对用于预测欧洲国家旅游目的地意图的变量进行了比较。

Este estudio propone una extensión del modelo de la teoría del comportamiento planificado (TPB) para comprender las intenciones de visitar España de los viajeros internacionales. El objetivo es comparar si las variables que predicen la intención de viajar difieren según la nacionalidad. Esta extensión del modelo incluye variables como: riesgo percibido, lealtad al destino, experiencia de viaje anterior, clima de la opinión pública y el boca a boca electrónico (eWOM).

Se desarrolló un modelo de indicadores y causas múltiples (MIMIC) como modelo de ecuaciones estructurales para predecir la intención de viajar de los 1978 participantes. El modelo estructural se utilizó para comprobar el modelo teórico para la muestra total y por nacionalidades (alemanes, británicos y otros países europeos).

Los modelos ampliados propuestos se ajustaron bien a los datos, explicando entre el 64% y el 68% de la varianza total, si bien se encontraron diferencias en función de la nacionalidad del turista. El modelo MIMIC indicó que la intención de los alemanes de viajar a un destino de vacaciones estaba influenciada por su percepción de riesgo, el eWOM y la lealtad a España. En el grupo británico, solo las variables TPB resultaron relevantes. Para el grupo de otras nacionalidades europeas, la lealtad y el eWOM también fueron significativas. Sin embargo, la experiencia de viaje, utilizada en estudios previos, se mostró no significativa en todos los grupos. En general, estos resultados ofrecen información sobre cómo las personas de diversos países y culturas adoptan los constructos antes mencionados cuando toman decisiones de viaje.

Estudios previos han aplicado varios TPB extendidos a un país específico o han comparado los resultados entre países asiáticos. Nuestra propuesta hace una comparación de las variables utilizadas para predecir la intención de visitar un destino vacacional entre países europeos.

The purpose of this paper is to get a better understanding of the influence of terrorism on risk perception and attitudes of the German travel behavior toward Turkey as a destination in crisis, which has been considered one of the biggest losers for 2016.

The research process involved an online self-administered method created with one of the leading research and web-based survey tools called Qualtrics. This tool has been considered useful to reach a wider target, the questionnaire filled in by 305 respondents.

The findings revealed a strong tendency of a low safety perception among the sample toward Turkey. Furthermore, a large proportion indicated a strong unlikelihood of traveling to the country within the upcoming 12 months independently of a past travel experience. In addition, Turkey and Egypt were the countries perceived as most unsafe among the mentioned destinations.

The majority of the respondents of the study were aged between 50 and 59 years and were employed as commercial employee, office or administration workers. The outcomes might be different for a higher sample size with a tendency of various demographic characteristic such as age and profession. Furthermore, the study should be repeated while focusing on respondents with accompanied children on holidays, which only made up a minority for the present research study.

To the best of the knowledge, this is the first study to examine the influence of terrorism on risk perception and attitudes of the German travel behavior toward Turkey and their risk reduction strategies/preventive measures.

This study aims to study different native languages as proxy for cultural differences in travel behaviour in multilingual Switzerland. Differences in travel behaviour between tourists from different nations (implying different cultural backgrounds) have been investigated in several studies. However, most studies do not reveal the potential confounding effects associated with cross-nation studies, such as differences in the economic, legal/regulatory or subcultural contexts of their residents. This exploratory study tries to overcome this gap by investigating differences in travel behaviour between language groups within one country: Switzerland. By holding potential confounding effects constant, our results reveal differences in travel behaviour associated with language, including travel motivation, choice of destination, choice of type of accommodation, duration of trip and travel expenses.

The study is based on data from one of the most comprehensive outbound travel behaviour survey: Travel Market Switzerland.

By holding potential confounding effects constant, our results reveal differences in travel behaviour associated with language, including choice of destination, choice of type of accommodation, duration of trip and travel expenses.

Differences in travel behaviour between tourists from different nations (implying different cultural backgrounds) have been investigated in several studies. However, most studies do not reveal the potential confounding effects associated with cross-nation studies, such as differences in the economic, legal/regulatory or subcultural contexts of their residents. This exploratory study tries to overcome this gap.

This study aims to understand how traveling Instagrammers should be characterized by bridging socio-psychological concepts with Instagram usage and travel typologies.

Using analysis of variance, differences between non-Instagrammers and passive and active users were identified with regard to their personality traits and human values; traveling Instagrammers and their travel types were characterized in more detail using k-means clustering, and, finally, posting behavior was examined using multiple regression.

The results demonstrate significant differences between the user groups in terms of their personality traits, their human values and their travel behavior. The multiple regressions provide deeper insights into tourists’ Instagram posting.

This study was conducted on 1,100 German travelers, meaning that the results are only valid for this cultural context. All data were collected using an online panel and participants received incentives, and thus extrinsic rewards, instead of using merely intrinsic motivation to take part in the survey.

This study contributes to a better understanding of Instagram usage behavior when traveling and adds valuable insights to this field of research. At the same time, the results are relevant for tourism businesses wishing to optimize their communication and marketing strategies.

The purpose of this paper is to assess the competitiveness of the Uruguayan rural tourism sector against its main competitors from Argentina and Brazil, as perceived by Uruguayan stakeholders on the supply side. The paper will also evaluate the potential of Uruguay as a rural tourism destination in attracting German tourists.

Two different questionnaires were administered, one to Uruguayan rural tourism stakeholders and another one to potential German tourists in Germany.

The findings indicate that the main strengths of Uruguayan rural tourism offer, compared to Argentina and Brazil, are the hospitality and friendliness of local people, the natural and cultural attractions and the country’s security and safety. Main weaknesses identified were the poor management of several destination components that are key to create a successful tourism destination and poor management of the “demand conditions” component of Dwyer and Kim’s (2003) integrated model.

There is very limited research done on the competitiveness of Uruguay as a rural tourist destination in attracting foreign tourists (Mackinnon et al., 2009). The objective of this study is to partially fill this gap by assessing how competitive Uruguayan rural tourism is and evaluating whether Uruguay represents an attractive market for German tourists looking for agro tourism and farm holiday destinations. The German market was chosen because it is one of the top tourist-generating countries and one of the biggest spenders in international tourism (The World Tourism organization, 2010). Moreover, most tourists – from outside South America – selecting Uruguay as a tourist destination come from Germany, USA and Australia (Peralta, 2012).