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| 基于层次分析法的绵山旅游资源评价与可持续发展对策 | |
| 引用本文： | 刘勇,韩泰凡,曲新谱,孔富安.基于层次分析法的绵山旅游资源评价与可持续发展对策[J].经济地理,2006,26(2):346-348,352. |
| 作者姓名： | 刘勇 韩泰凡 曲新谱 孔富安 |
| 作者单位： | 1. 山西大学,中国山西,太原,030006 2. 山西省旅游局,中国山西,太原,030012 3. 山西省发改委,中国山西,太原,030001 |
| 基金项目： | 山西省留学归国基金项目(编号:0405512)资助 |
| 摘 要： | 绵山风景区以民营企业家开发为特点凸显其独特的魅力,民营企业机制灵活,管理理念新,近几年发展相当迅速,但是如何在激烈竞争的旅游市场中处于常胜之地,对景区资源进行系统客观的评价以达到“知己知彼”就尤为重要。文章采用层次分析法定量地对绵山风景区旅游资源进行了系统评价,结果表明,绵山风景区旅游资源观赏价值所占分值最大,休闲性、文化价值和可达性次之,服务人员素质、管理水平较小。根据评价结果,提出了绵山风景区持续发展的调控对策。 |
| 关 键 词： | 绵山风景区 旅游资源 层次分析法 发展对策 |
| 文章编号： | 1000-8462（2006）02-0346-03 |
| 收稿时间： | 2005-09-12 |
| 修稿时间： | 2005-09-122005-12-23 |
ASSESSMENT OF TOURISM RESOURCE AND SUSTAINABLE COUNTERMEASURES BASED ON AHP METHOD IN MIANSHAN RESORT |
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| LIU Yong,HAN Tai-fan,QU Xin-pu,KONG Fu-an.ASSESSMENT OF TOURISM RESOURCE AND SUSTAINABLE COUNTERMEASURES BASED ON AHP METHOD IN MIANSHAN RESORT[J].Economic Geography,2006,26(2):346-348,352. | |
| Authors: | LIU Yong HAN Tai-fan QU Xin-pu KONG Fu-an |
| Institution: | 1. Shanxi University, Taiyuan 030036, Shanxi, China; 2. Tourism Bureau of Shanxi Province, Taiyuan 030012, Shanxi, Chinas 3. Development and Innovation Committee of Shanxi Province, Taiyuan 030001, Shanxi, China |
| Abstract: | Mianshan resort,located in Shanxi province,is a famous tourism site, which developed and run by local enterpriser.In recent years,tourism of Mianshan resort has developed rapidly and makes a great success.In this paper,Analytical Hierarchy Process method(AHP) was used to study the advantage and disadvantage of Mianshan tourism resource.The results showed that tourism resource of Mianshan resort takes the most important role in all the factors,which have influences on the tourism development.Culture and accessibility take the second and the third role individually.Service,management and tourism trade take less important role.Based on the assessment,some countermeasures for sustainable development of Mianshan resort were presented. |
| Keywords: | Mianshan resort tourism resource AHP method countermeasures |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |