Recent studies on urban policy responses to increasing tourism have moved beyond the physical impact of tourism to also include the way tourism is framed by social movements. This paper contributes to this line of research with a focus on frame resonance: the extent to which frames strike a responsive chord with the public in general and policymakers in particular. We introduce a specific form of frame amplification through cultural resonance; the appeal to pre-existing societal beliefs. Using an analysis of policy documents, print, online and social media, we demonstrate that frames around tourist shops in Amsterdam appealed to pre-existing beliefs that portray the inner city as: a delicate mix of functions, an infrastructure for criminal activities, and a business card reflecting the city’s quality of place. These beliefs amplified frame resonance to such an extent that they convinced an initially reluctant local government to ban tourist shops from the inner city, a policy that undermines the accessibility and inclusivity of urban spaces that the local government aims to promote (SDG 11). This suggests that the contingencies in the local context that enable or foreclose the cultural resonance of frames are essential in understanding policy responses to touristification.
Recent studies on urban policy responses to increasing tourism have moved beyond the physical impact of tourism to also include the way tourism is framed by social movements. This paper contributes to this line of research with a focus on frame resonance: the extent to which frames strike a responsive chord with the public in general and policymakers in particular. We introduce a specific form of frame amplification through cultural resonance; the appeal to pre-existing societal beliefs. Using an analysis of policy documents, print, online and social media, we demonstrate that frames around tourist shops in Amsterdam appealed to pre-existing beliefs that portray the inner city as: a delicate mix of functions, an infrastructure for criminal activities, and a business card reflecting the city’s quality of place. These beliefs amplified frame resonance to such an extent that they convinced an initially reluctant local government to ban tourist shops from the inner city, a policy that undermines the accessibility and inclusivity of urban spaces that the local government aims to promote (SDG 11). This suggests that the contingencies in the local context that enable or foreclose the cultural resonance of frames are essential in understanding policy responses to touristification.
The necessity for humans inhabiting the 21st century to slow down and take time to carry out daily practices frames the discourse of this research note. We suggest reconceptualising tourist wellbeing through the concept of slow adventure, as a response to the cult of speed and as a vehicle for engaging in deep, immersive and more meaningful experiences during journeys in the outdoors. We suggest that slow adventure has the potential to improve people’s general health and wellbeing through mindful enjoyment and consumption of the outdoor experience and thus bring people back to a state of mental and physical equilibrium. In so doing, we argue that extending the concept to include discussions around the psychological and social aspects of slow adventure is needed.
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The impacts of tourism on destinations and the perceptions of local communities have been a major concern both for the industry and research in the past decades. However, tourism planning has been mainly focused on traditions that promote the increase of tourism without taking under consideration the wellbeing of both residents and visitors. To develop a more sustainable tourism model, the inclusion of local residents in tourism decision-making is vital. However, this is not always possible due to structural, economic and socio-cultural restrictions that residents face resulting to their disempowerment. This study aims to explore and interpret the formal processes around tourism decision-making and community empowerment in urban settings. The research proposes a comparative study of three urban destinations in Europe (The Hague in the Netherlands, San Sebastian in Spain and, Ioannina in Greece) that experience similar degree of tourism growth. The proposed study will use a design-based approach in order to understand tourism decision-making and what empowers or disempowers community participation within the destinations. Based on the findings of primary and secondary data, a community empowerment model will be applied in one the destinations as a pilot for resident engagement in tourism planning. The evaluation of the pilot will allow for an optimized model to be created with implications for tourism planning at a local level that can contribute to sustainable destinations that safeguard the interests of local residents and tourists.
In this project we utilize the conversational model of delivering destination information as an experimental intervention to provide tips to a sub-group of visitor participants in one specific destination, Overijssel. By contrasting the experience of this group to a randomly assigned control group will be able to test the effectiveness of hyper-personalized information. Furthermore, we will investigate the effectiveness of integrating, in the tips provided, the policy of the DMO to direct visitors to certain places while reducing the pressure on others. For this variable as well––policy-driven vs. demand-driven information sources––random assignment to test and control groups will allow us to draw conclusions about causes of differences in tourist behavior and experience.The main question is: Does the conversational information model, as exemplified by Travel with Zoey, create the possibility to direct people to the places destination managers would like them to go, while assuring they benefit equally––or even more–from their travel experience? Partners: NBTC, Marketing Oost, Travel With Zoey.
We propose to do an experimental study in which we will use 360 video and still photo simulations that portray varying levels of crowding. Simulations will be presented to 25 student participants and 25 older adult participants (65+; a lucrative tourist segment) in an experimental setting while signals of their emotional responses are recorded from their brain (EEG) and body (skin conductivity and heart rate) at our Experience Measurement Lab. A questionnaire will measure their intent to recommend and their willingness to pay for the ‘experiences’ (simulations) they have viewed. Analyses will determine optimal levels of crowding for the quality of the tourist experience, but also for income at the destination, accounting for the fact that a more crowded destination features more potential sources of income (visitors), but each a (possibly) different level of willingness to pay, including potential implications for local tourist taxes. Models will also account for possibly different processes in the two different age groups. Furthermore, modelling word-of-mouth/mouse marketing based on intent to recommend will also make it possible to predict how crowding affects demand long-term. Partner: KU Leuven.
