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Analysis of optimal timing of tourism demand recovery policies from natural disaster using the contingent behavior method

机译:运用偶然行为法分析自然灾害中旅游需求恢复策略的最优时机。

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This paper examines the applicability of contingent behavior (hereafter, CB) method for analyzing dynamic processes and efficient policies in tourism demand recovery. The CB questionnaires used for this study used a hypothetical disaster situation of bird flu in Kyoto, Japan. Safety, event, visitor information, and price discounting policies were designed accordingly. Respondents were then asked about their willingness to travel time. The results showed the optimal timing for devising pertinent policies during the year. We found that the first step requires a safety information announcement, within one week, immediately after disaster site decontamination. The second step is the implementation of event information policy within 24th to 36th week after the disaster. The third step constitutes announcing visitor information within the 37th to 52nd week after the second step. The final step is the implementation of price discounting policy, until the 52nd week, immediately after the third step. (C) 2017 Elsevier Ltd. All rights reserved.
机译:本文探讨了偶然性行为(以下简称CB)方法在分析旅游需求恢复中的动态过程和有效政策时的适用性。这项研究使用的CB问卷使用的是日本京都市假设的禽流感灾害情况。相应地设计了安全性,事件,访客信息和价格折扣政策。然后,受访者被问及他们是否愿意花时间旅行。结果表明,该年度制定相关政策的最佳时机。我们发现第一步是在灾难现场净化后的一周内要求发布安全信息。第二步是在灾难发生后的24至36周内实施事件信息政策。第三步是在第二步之后的第37至52周内宣布访客信息。最后一步是实施价格折扣政策,直到第三步之后的第52周为止。 (C)2017 Elsevier Ltd.保留所有权利。

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