The impacts of natural hazards on Taiwan’s tourism industry
ABSTRACT Typhoon Morakot hit Taiwan in 2009, severely damaging the Alishan National Forest Recreation Area, a famous tourist resort in Taiwan. The only highway to this area was under repair for 10 months after the typhoon. Consequently, Alishan’s tourism industry suffered losses estimated at NT$1 billion. This work investigates the impacts of natural hazards on Taiwan’s tourism industry. First, government, university, and industry experts were invited to a focus-group interview to update criteria for tourism development in Taiwan. Next, the Analytic Hierarchy Process (AHP) was applied to rank the proposed criteria. Last, two tourist attractions, one urban and one rural, are discussed in detail. This work proposes three novel dimensions for Taiwan’s tourism development—destination attraction, destination arrangement, and contingency planning for natural hazards—which comprise nine criteria. Analytical results will provide Taiwan’s tourism industry with references for future policy-making and sustainable development.
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ABSTRACT: The Analytical Hierarchy Process (AHP) is a classic and powerful decision support tool. However, the conventional AHP has some disadvantages originating in the expert decision-making process. To minimize the disadvantages of the conventional AHP, a modified analytical hierarchy process (M-AHP), is suggested in this study. This study is conducted in three stages: (i) the theoretical background for the conventional AHP is introduced, (ii) essentials for the proposed M-AHP technique are given with an example solution for the evaluation of snow avalanche source susceptibility, and (iii) a computer code named M-AHP is presented. By applying the methodology suggested in this study, the consistency ratio value for the comparison matrix and the weight vector never exceeds 0.10. The M-AHP program is a complementary tool for natural hazard, natural resource, or nature preservation researchers who apply the M-AHP technique to their decision support problem.Computers & Geosciences 09/2013; 59:1–8. DOI:10.1016/j.cageo.2013.05.010 · 1.56 Impact Factor
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ABSTRACT: This study applies fuzzy set theory in attempting to evaluate important attributes of the tourism and gourmet business environment in Taiwan. This business environment is composed of various attributes that are difficult to measure. To overcome these challenges, we integrated the fuzzy Delphi method, the decision-making trial and evaluation laboratory method, and the analytic network process to evaluate the business environment. We found that the most significant aspect of the tourism and gourmet business environment is human resources and that the least significant aspect of this industry is market development. The most significant criteria are enhanced industry competitiveness and opportunities to develop the industry.Asia Pacific Journal of Tourism Research 09/2014; 19(9). DOI:10.1080/10941665.2013.837399 · 0.30 Impact Factor
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ABSTRACT: Islands are known to be vulnerable to natural hazards, resulting in substantial risks for their tourism industries. To facilitate the systematic analysis of the underlying vulnerability drivers, a tourism disaster vulnerability framework was developed. The conceptual model then guided qualitative empirical research in three regions: the Caribbean, the South Pacific, and the Indian Ocean. The results from 73 interviews highlight common, as well as idiosyncratic, factors that shape the islands’ hazardscapes and vulnerabilities. Key vulnerabilities included social, economic, political, and environmental dimensions. Probably, the most critical vulnerability driver is the lack of private sector investment in disaster risk reduction. This is interrelated with deficient planning processes, on-going demand for coastal products, lack of political will, and poor environmental conditions. Notwithstanding many barriers, some businesses and organisations engage proactively in addressing disaster risk. The paper’s empirical evidence supports the validity of the framework, and suggestions for further research are made.Natural Hazards 03/2013; 71(1). DOI:10.1007/s11069-013-0946-x · 1.96 Impact Factor