The Visual Representation of Border Tourism: Demilitarized Zone (DMZ) and Dokdo in South Korea

The demilitarized zone (DMZ) and Dokdo mark South Korea borders with North Korea and Japan respectively. Each borderland is a socially constructed symbolic cultural landscape shaped in part by tourism. In this study, a sample of 2202 online images was inspected using content‐semiotic analysis to understand how visual representation of border tourism works. It was found that visitors via social media and government censorship play major roles in constructing representations of (i) alienated borders with iconic war heritage attractions at the DMZ and (ii) an alienated and isolated Dokdo. Both borders highlight patriotic/nationalistic ‘flagging’ and the gaze across. Copyright © 2013 John Wiley & Sons, Ltd.     

Crowding standards at Petra Archaeological Park: a comparative study of McKercher's five types of heritage tourists

To achieve sustainability in heritage tourism, tourists should be placed at the heart of the management and planning processes. Indicators and standards-based frameworks were developed in the field of outdoor recreation management to manage and measure crowding and other problematic issues in parks and related areas. Using normative theory and visual research methods, this article aims to examine crowding standards of tourists at Petra Archaeological Park, and compare these standards between the types of heritage tourists suggested by a model developed by Bob McKercher. Results showed that tourists’ acceptability levels go down with an increasing number of tourists, and tourists who are highly motivated to visit heritage sites (i.e. purposeful and sightseeing heritage tourists) had the most restrictive acceptable number of tourists at the park. The normative standards formulated in this article provided a guidance to manage crowding at Petra.     

Examining the efficacy of self-classification approach in segmenting special-interest tourists: food tourism case

Self-classification is used as an a priori approach to tourist typology and market segmentation. However, skepticism still surrounds its ability to incorporate the multidimensionality of tourist behavior. This study seeks to empirically verify the efficacy of a single-item self-classification approach. The robustness of this self-classification measure is examined by comparing it to a data-driven multidimensional psychographic approach in terms of its ability to predict the behaviors of tourists toward food-related destination consumption. Results suggest that the single-item self-classification approach performs equally well as the psychographic approach in segmenting food-related consumption behaviors. The implications and limitations of this study are also discussed.