Performance Indicator Framework for Evaluation of Sustainable Tourism in the Taiwan Coastal Zone

Abstract

Abstract:Surrounded by the ocean, Taiwan has been increasingly developing coastal tourism projects. Concerns that negative impacts might be brought about by prosperous tourism have resulted in a recent focus on sustainable tourism. Sustainable tourism involves policies that acknowledge the interdependences among the environment, the community, and the economy. The goal of sustainable tourism is to enhance and protect the environment while satisfying basic human requirements, as well as those of the contemporary and future tourism industries to improve quality of life. On the other hand, unsustainable coastal tourism might undermine the natural environment and society, resulting in air, water, and soil pollution, wildlife habitat disruption, and changes of local community cultural characteristics. Therefore, performance evaluation of coastal tourism, using an indicator framework to facilitate sustainable development and enhance the effectiveness of coastal resources exploitation, is critical. Through a literature review and expert surveys using the methods of the fuzzy Delphi method (FDM) and the fuzzy analytic hierarchy process (FAHP), this study builds a performance indicator framework and identifies the key factors affecting the sustainable development of coastal tourism in Taiwan. The results can serve as a reference for the public sector to be used for the sustainable planning and development of coastal tourism.

Fostering Nautical Tourism in the Balearic Islands

“…It is also similar to sample sizes in regional studies of this sort (for example, 12 and 15 experts in two phases [55], 25 interviewees [36]). The sample was expanded using the "snowball" sampling system.…”

Quality Risk Evaluation of the Food Supply Chain Using a Fuzzy Comprehensive Evaluation Model and Failure Mode, Effects, and Criticality Analysis

“…Here, the effective approach to establishing the preliminary indicator framework is to analyze the existing literature and the laws and regulations of food safety regulatory [58]. On this basis, the quality risk evaluation indicator system for the food supply chain can be built by the method which is based on the fuzzy analytic hierarchy process (FAHP) proposed by Wang et al [59], shown as Table 1. According to Table 1, the evaluation objects for quality risk of the food supply chain can be generalized into five categories: raw material supply risk [33][34][35][36][37]; production and processing risk [34,[37][38][39][40][41][42]; logistics, warehousing, and transportation risk [40][41][42][43][44][45][46]; sales and consumption risk [42,[47][48][49][50][51]; and government regulatory risk [52][53][54][55][56][57].…”

Constructing an Evaluation Framework for Eco-Museum Operations-Management Performance, Based on the Case of Jhushan, Taiwan

“…Wang et al, noting an increasing trend in Taiwan for coastal tourism projects, also made use of the FDM and fuzzy analytic hierarchy process (FAHP) methods to build a performance-indicator framework for identifying the key factors affecting the sustainable development of such tourism. Following a similar general approach to those of the studies cited above, the present research will establish performance indicators for the operations management of eco-museums, using FDM for the expert screening of potential indicators, and ANPM for exploring such indicators' interactive influences [20]. Their profiles are provided in Table 1.…”