Competition among European Tourist Cities: A Comparative Analysis with Multidimensional Scaling and Self-Organizing Maps

The tourism researcher's attention is drawn to the neurocomputing methodology of self-organizing maps (SOMs) SOMs can be used to find a radically parsimonious representation of multidimensional profile data. The properties of an SOM network are explored in a case study on the competitive relationships between European cities as tourist destinations. SOM results are compared with a conventional INDSCAL model. The database consists of the guest mix profiles of 26 major tourist cities between 1975 and 1992.

[1]  John G. Taylor,et al.  The temporal Kohönen map , 1993, Neural Networks.

[2]  J. Chang,et al.  Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition , 1970 .

[3]  Diana Rittinghaus-Mayer.  Die Anwendung von neuronalen Netzen in der Marketingforschung , 1993 .

[4]  Luiz Moutinho,et al.  Neural Networks in Marketing: Modelling Consumer Responses to Advertising Stimuli , 1993 .

[5]  Patrick Thiran,et al.  Quantization effects in digitally behaving circuit implementations of Kohonen networks , 1994, IEEE Trans. Neural Networks.

[6]  Harald Hruschka,et al.  Determining market response functions by neural network modeling: A comparison to econometric techniques , 1993 .

[7]  Josef A. Mazanec,et al.  Classifying tourists into market segments: a neural network approach. , 1992 .

[8]  Harald Hruschka,et al.  Analyse von Marktsegmenten mit Hilfe konnexionistischer Modelle , 1992 .

[9]  Alianna J. Maren,et al.  Vector-matching networks , 1990 .

[10]  Amar Mitiche,et al.  Modeling and classification of shape using a Kohonen associative memory with selective multiresolution , 1993, Neural Networks.

[11]  Yoh-Han Pao,et al.  Adaptive pattern recognition and neural networks , 1989 .

[12]  James C. Bezdek,et al.  Generalized clustering networks and Kohonen's self-organizing scheme , 1993, IEEE Trans. Neural Networks.

[13]  J. Lampinen,et al.  Unsupervised Learning for Feature Extraction , 1994 .

[14]  J. Crompton.  STRUCTURE OF VACATION DESTINATION CHOICE SETS , 1992 .

[15]  Stephen I. Gallant,et al.  Neural network learning and expert systems , 1993 .

[16]  Joseph L. Zinnes,et al.  A Probabilistic Model for the Multidimensional Scaling of Proximity and Preference Data , 1986 .

[17]  Stanley C. Ahalt,et al.  Competitive learning algorithms for vector quantization , 1990, Neural Networks.

[18]  David M. Skapura,et al.  Neural networks - algorithms, applications, and programming techniques , 1991, Computation and neural systems series.

[19]  E. R. Peay.  Nonmetric grouping: Clusters and cliques , 1975 .