Residents' support for tourism development: The role of residents' place image and perceived tourism impacts

Drawing on the triple bottom line approach for tourism impacts (economic, socio-cultural and environmental) and adopting a non-forced approach for measuring residents' perception of these impacts, this study explores the role of residents' place image in shaping their support for tourism development. The tested model proposes that residents' place image affects their perceptions of tourism impacts and in turn their support for tourism development. The results stress the need for a more flexible and resident-oriented measurement of tourism impacts, revealing that more favorable perceptions of the economic, socio-cultural and environmental impacts lead to greater support. Moreover, while residents' place image has been largely neglected by tourism development studies, the findings of this study reveal its significance in shaping residents' perception of tourism impacts as well as their level of support. The practical implications of the findings for tourism planning and development are also discussed.     

Strategic foresight for (coastal) urban tourism market complexity: The case of Bournemouth

This paper discusses an approach to evaluate and analyse strategic planning in multi-functional complexities of coastal urban areas with conflicts regarding leisure space which restricts the diversity of tourism segments using an urban locale. The paper proposes a holistic and multi-faceted systems approach to analysing such multi-purpose use of urban spaces with a case study of Bournemouth where the needs of overseas language students and high spending tourists can present an interesting challenge to urban planners. The systems approach advocates integration and alliances in investment incentives to help identify alternative urban use strategies in tourism and leisure contexts which allows for re-branding of an urban area whilst extending the product offer.     

The establishment of a rapid natural disaster risk assessment model for the tourism industry

At the current time, the Taiwan government is aggressively promoting projects, such as the so-called “Double Tourist Plan”, designed to encourage the development of the sightseeing related business. Operators in the tourist industry hope to construct facilities at or near scenic areas, which, given their special geography, are often adjacent to the mountains or the ocean. Unfortunately these are also the areas that most often experience natural disasters. This has a negative impact on the tourism industry. The centralization of tourist facilities, leading to the gathering of large numbers of visitors during the holiday seasons, can place people in danger. In other words, tourism operators in the Taiwan region face a high risk of natural disasters. It is difficult to assess such risks. Most of the existing models for catastrophe risk assessment consume huge amounts of time and are costly to use, so are more commonly applied for assessment at high-value facilities (such science-based industrial parks), rather than by the tourism industry, where economic factors are of greater concern. It is necessary to develop a simple and rapid assessment method that will allow ordinary business owners to carry out comprehensive risk analysis of tourist facilities. Thus, in this study, we explore various theories related to different kinds of natural disaster risk analysis mechanisms, with the goal of establishing a rapid risk assessment model suited to the tourism industry that can be used to quickly analyze disaster-forming characteristics and risk weaknesses in local regions. Furthermore, we incorporate an expert weighting process for assigning weightings for natural disaster risk index assessment. This method can help tourism asset owners prepare for the worst, and be capable of responding appropriately if and when such an event occurs. Good planning can effectively reduce the loss and risks associated with natural disasters and allow recovery work to commence sooner.     

Fuzzy Rasch model in TOPSIS: A new approach for generating fuzzy numbers to assess the competitiveness of the tourism industries in Asian countries

This study proposes a novel approach, the Fuzzy Rasch model, which combines Item Response Theory (IRT) and fuzzy set theory. This paper applies the Fuzzy Rasch model in Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to analyse the Tourism Destination Competitiveness (TDC) of nine Asian countries: China, Hong Kong, Japan, Korea, Malaysia, Singapore, Taiwan, Thailand and the Philippines. The study was conducted in 2009 using 6 criteria and 15 indices. The results demonstrate the feasibility of applying the Fuzzy Rasch model in TOPSIS to analyse TDC in Asian countries. In addition, the proposed model also provides an effective means of applying the MCDM method to study TDC. Furthermore, in 2009, the Asian countries were ranked from most to least competitive as follows: China, Japan, Hong Kong, Malaysia, Thailand, Singapore, Taiwan, Korea and the Philippines.