This paper develops a measurement scale for cultural experiences across different contexts, including attractions, events and tours, in Hong Kong. Four dimensions of experience (cognitive, conative, affective and novelty) are identified through structural equation modelling. The scale is applied to compare visitor- and context-related influences on the experience and on subsequent behavioural intentions. We find that the conative dimension of experience elicits the highest experience scores from visitors, but affective experiences are more significant in distinguishing between different experience contexts and visitor groups. The strongest experiences were attributed to event contexts, followed by tours, and finally permanent attractions. The experience is also enhanced when various sites are combined by visitors to provide a ‘destination journey’.
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Purpose: Whereas investments in new attractions continue to rise within the theme park industry, knowledge regarding the effects of new attractions on theme park performance and attendance remains scarce. In order to isolate these effects, the purpose of this paper is to present the results of an econometric study explaining the variance in theme park visitor numbers and quantifying the effects of new attractions on theme park attendance. Design/methodology/approach: The paper is based on an econometric study, in which models were produced for four European theme parks. No pooled modelling was used, meaning that four different models were created; one for each participating theme park. Various variables affecting theme park attendance were identified and quantified, and subsequently the effects of new attractions on visitor numbers were isolated. Findings: Findings indicate that all new attractions opened at Park D during the research period have had a positive long-term influence on attendance. This positive influence lasted for no more than two years. No significant short-term influence was found. There were significant differences in effect between new attractions which could not yet be explained. Research limitations/implications: The research by design only takes into account the economic effects of new attractions and disregards all environmental and socio-cultural effects. Even though the research provides an accurate approximation of the effects of new attractions on attendance, this effect should, according to the author, not be perceived as a stand-alone effect yet as a part of a complex system. A situational approach taking into account several other situational as well as qualitative factors would do the complex reality more justice than a, even though effective, simplified and general approach. Practical implications: Industry operators can now use the econometric model presented in this paper to determine the effects of new attractions on their theme park's attendance and use this knowledge to further fine-tune their investment policy. Originality/value: The paper presents the first econometric model successful at isolating and quantifying a new attraction's effect on theme park attendance and can thus be a valuable tool in perfecting one's investment policy. The paper furthermore includes a brief introduction to a situational approach of determining a new attraction's effects on theme park performance.
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Whereas investments in new attractions continue to rise within the theme park industry, knowledge regarding the effects of new attractions on theme park performance and attendance remains scarce. In this article results from a research amongst general managers of theme parks in Europe will be presented. Different methods were used to investigate what the impact of adding a new attraction on the number of visitors to a theme park would be, according to the general management. The managers first responded to a written survey and then answered some detailed, elaborative questions by email or telephone. The majority of managers also participated in an in-depth interview. Results show that investing in new attractions is considered to be the most important (controllable) factor on the number of visitors in both the short and long run. Most theme parks in Europe invest in major new attractions once every three years, combining it with a minor investment every year. Large differences in effects were found between parks. Parks that invest once every three years showed the highest effect on number of visitors for their latest new attraction.
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PBL is the initiator of the Work Programme Monitoring and Management Circular Economy 2019-2023, a collaboration between CBS, CML, CPB, RIVM, TNO, UU. Holidays and mobility are part of the consumption domains that PBL researches, and this project aims to calculate the environmental gains per person per year of the various circular behavioural options for both holiday behaviour and daily mobility. For both behaviours, a range of typical (default) trips are defined and for each several circular option explored for CO2 emissions, Global warming potential and land use. The holiday part is supplied by the Centre for Sustainability, Tourism and Transport (CSTT) of the BUas Academy of Tourism (AfT). The mobility part is carried out by the Urban Intelligence professorship of the Academy for Built Environment and Logistics (ABEL).The research question is “what is the environmental impact of various circular (behavioural) options around 1) holidays and 2) passenger mobility?” The consumer perspective is demarcated as follows:For holidays, transportation and accommodation are included, but not food, attractions visited and holiday activitiesFor mobility, it concerns only the circular options of passenger transport and private means of transport (i.e. freight transport, business travel and commuting are excluded). Not only some typical trips will be evaluated, but also the possession of a car and its alternatives.For the calculations, we make use of public databases, our own models and the EAP (Environmental Analysis Program) model developed by the University of Groningen. BUAs projectmembers: Centre for Sustainability, Tourism and Transport (AT), Urban Intelligence (ABEL).
Former military fortifications are often repurposed for tourism and recreation. While some of over 100 Dutch forts are recognized as UNESCO World Heritage sites, a substantial number are currently underdeveloped, putting their cultural and natural heritage at risk. Developing these forts in a conscious and collaborative way promises to not only preserve their heritage value, but also facilitate enjoyable and healthy experiences for visitors. Moreover, under-developed forts provide an opportunity to solve another pressing challenge, namely overtourism. Visitor pressure at tourist attractions has led the Netherlands Board of Tourism and Conventions to call for spreading visitors to lesser-known areas. Less-developed forts are among the most promising of these. Development initiatives depend on a transition from isolation to cooperation across sites. However, for cooperation to be effective, agencies managing these forts have indicated an urgent need for data on visitor characteristics and experiences. The purpose of the present project is to measure and analyze visitor demographics, motivations, and experiences at less-developed forts, and to develop a toolkit to inspire, support, and monitor development of these forts for natural and cultural heritage preservation and improved visitor experience. This proposal builds on the previous project, “Experiencing Nature” which utilized Breda Experience Lab technologies to measure visitor experiences at Fort de Roovere. We now aim to broaden this proven approach to a broader variety of forts, and to translate visitor data into actionable advice. The consortium includes a changemaking network of the Alliantie Zuiderwaterlinie (NL), Regionale Landschappen (VL), and Agentschap Natuur en Bos (VL). This Dutch-Flemish network aims to connect formerly isolated forts to one another, and represents a broad diversity of fortified sites, each with unique challenges. The project will thus facilitate interregional collaboration, especially toward coming Interreg EU proposals, and inform interregional marketing campaigns and planning for management and conservation.
The Next Tourism Generation Alliance (NTG) is the first European partnership for building and improving a collaborative relationship between education and industry with regard to skills development in the fields of digital, green, and social skills. The NTG Alliance will provide employees, employers, entrepreneurs, teachers, trainers and students with a set of core modules in digital, green and social skills.Project Scope:a) To establish a Blueprint Strategy for Sectoral Skills Development in Tourism to respond to the fast changing and increasing skills gaps in digital, green and social skills sets.b) To define a scalable mechanism and model for sustainable and digital curricula between the industry and education providers at regional, national and European level.c) To create transformative cooperation in five key tourism sub-sectors: hospitality, food and beverage operations, travel agencies and tour operators, visitor attractions and destination management.d) To develop, deliver and test Next Tourism Generation (NTG) Skills Products for professionals, trainers, students, university tourism departments, local authorities, companies to respond to the fast changing and increasing skills gaps in digital, green and social skills sets
