Planning Tourist Itinerary and Forecasting Tourists arrival in Kinmen-Grey Theory Approach

碩士 === 亞洲大學 === 資訊工程學系碩士在職專班 === 100 === Kinmen is comprehensively expanding tourism industry in order to construct an “international tourist and recreational island”, by promoting the local sceneries, exploring existing tourism resources, and enhancing the quality of hotels. Prediction model for th...

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Main Authors: Cheng,Yu-Wen, 鄭玉雯
Other Authors: Chen,Hsing-Chung
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/19823523664091962316
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spelling ndltd-TW-100THMU13960632015-10-13T21:01:55Z http://ndltd.ncl.edu.tw/handle/19823523664091962316 Planning Tourist Itinerary and Forecasting Tourists arrival in Kinmen-Grey Theory Approach 應用灰色理論於金門地區遊客數量預測與路線規劃之研究 Cheng,Yu-Wen 鄭玉雯 碩士 亞洲大學 資訊工程學系碩士在職專班 100 Kinmen is comprehensively expanding tourism industry in order to construct an “international tourist and recreational island”, by promoting the local sceneries, exploring existing tourism resources, and enhancing the quality of hotels. Prediction model for the tourist population in Kinmen was established by GM(1, 1). The results showed that the accuracy rate is at least 90%. It is predicted that in 2012, the number of tourists in Kinmen will reach 1,341,208, and in 2013, the number will reach 1,867,974. In order to avoid the reduction of tourism quality in popular tourist attractions, this study treated the region of Kinmen as the scope, and estimated that the proper daily loading of tourists is 13,440 person time. Travel agencies can adjust the order of itineraries to avoid gathering too many tourists in the same tourist spot, and solve the problem of overloading in the tourist spots. Chen,Hsing-Chung 陳興忠 2012 學位論文 ; thesis 69 zh-TW
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description 碩士 === 亞洲大學 === 資訊工程學系碩士在職專班 === 100 === Kinmen is comprehensively expanding tourism industry in order to construct an “international tourist and recreational island”, by promoting the local sceneries, exploring existing tourism resources, and enhancing the quality of hotels. Prediction model for the tourist population in Kinmen was established by GM(1, 1). The results showed that the accuracy rate is at least 90%. It is predicted that in 2012, the number of tourists in Kinmen will reach 1,341,208, and in 2013, the number will reach 1,867,974. In order to avoid the reduction of tourism quality in popular tourist attractions, this study treated the region of Kinmen as the scope, and estimated that the proper daily loading of tourists is 13,440 person time. Travel agencies can adjust the order of itineraries to avoid gathering too many tourists in the same tourist spot, and solve the problem of overloading in the tourist spots.
author2 Chen,Hsing-Chung
author_facet Chen,Hsing-Chung
Cheng,Yu-Wen
鄭玉雯
author Cheng,Yu-Wen
鄭玉雯
spellingShingle Cheng,Yu-Wen
鄭玉雯
Planning Tourist Itinerary and Forecasting Tourists arrival in Kinmen-Grey Theory Approach
author_sort Cheng,Yu-Wen
title Planning Tourist Itinerary and Forecasting Tourists arrival in Kinmen-Grey Theory Approach
title_short Planning Tourist Itinerary and Forecasting Tourists arrival in Kinmen-Grey Theory Approach
title_full Planning Tourist Itinerary and Forecasting Tourists arrival in Kinmen-Grey Theory Approach
title_fullStr Planning Tourist Itinerary and Forecasting Tourists arrival in Kinmen-Grey Theory Approach
title_full_unstemmed Planning Tourist Itinerary and Forecasting Tourists arrival in Kinmen-Grey Theory Approach
title_sort planning tourist itinerary and forecasting tourists arrival in kinmen-grey theory approach
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/19823523664091962316
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