科研之友
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摘要
Tourism destination competitiveness (TDC) has been a prominent topic toward the tourism industry in global marketplaces. To give a more comprehensive and more objective evaluation of TDC, a multi-hierarchy evaluation model (MHEM) is established. The information entropy-based weighting method is employed for the determination of the weights of all the evaluation aspects. The self-organized mapping neural network is proposed to give a more comprehensive classification of tourism developments. To verify the efficiency of the proposed evaluation model, an empirical study on the 16 cities in the Yangtze River Delta of China is constructed. External and internal uneven development phenomenon of TDCs is observed and analyzed based on the evaluation results, and the core-layers spatial distribution characteristics of the cities in the delta are also well described.
- 出版日期2014-8-3
- 单位南京财经大学
