The integration of film‐induced tourism and destination branding in Yorkshire,UK

This paper identifies the integration of film induced tourism and destination branding on destinations featured in television series' such as Yorkshire, which is the film location for many popular English television series'. The review of the existing literature identified a gap in previous investigations and in response, a tourist survey and strategic conversations with the key stakeholders were an initial attempt to fill this gap. The issues which arose from these and the literature review highlighted some implications for the future development of these destinations, namely the use of destination branding in the promotion of a film location. Copyright © 2008 John Wiley & Sons, Ltd.     

Cultural tourism behaviour and preferences among the live‐performing arts audience: an application of the univorous–omnivorous framework

This study uses the omnivorous–univorous theoretical framework of the arts marketing studies to identify relationships between the live‐performing arts and cultural tourism behaviours and preferences. Patrons of a major performing arts centre were segmented in three groups — sporadic, univores and omnivores — and examined regarding their cultural tourism behaviours and preferences. Statistical analysis revealed significant differences among groups in terms of demographic characteristics, art and culture consumption and cultural tourism behaviour and preferences. Study results add to the body of knowledge of tourism, suggesting that the culture omnivorous consumption behaviour reported in art marketing studies is also relevant to cultural tourism. Results suggest the existence of omnivorous cultural tourists seeking a wide variety of cultural products and experiences. The identification of a group of individuals with little interest and consumption of culture, including cultural travel destinations, also emerges from this study. Copyright © 2009 John Wiley & Sons, Ltd.     

A Comparative Analysis of Three Types of Tourism Demand Forecasting Models: Individual,Linear Combination and Non‐linear Combination

This paper investigates the combination of individual forecasting models and their roles in improving forecasting accuracy and proposes two non‐linear combination forecasting models using Radial Basis Function and Support Vector Regression neural networks. These two non‐linear combination models plus the standard Multi‐layer Perceptron neural network‐based non‐linear combination model are examined and compared with the linear combination models. The UK inbound tourism quarterly arrival data is used and the empirical results demonstrate that the proposed non‐linear combination models are robust and outperform the linear combination models that currently dominate in the tourism forecasting literature. Copyright © 2013 John Wiley & Sons, Ltd.