Application of Monte Carlo AHP in ranking coastal tourism environmental carrying capacity factors

被引:9
|
作者
Zhu, Jiawei [1 ]
Wang, Erda [2 ]
Sun, Wenzhang [3 ,4 ]
机构
[1] Dongbei Univ Finance & Econ, Int Business Coll, 217 Jianshan St, Dalian 116023, Liaoning, Peoples R China
[2] Dalian Univ Technol, Sch Business Management, Dalian, Peoples R China
[3] Dongbei Univ Finance & Econ, Sch Accounting, Dalian, Peoples R China
[4] China Internal Control Res Ctr, Dalian, Peoples R China
基金
中国国家自然科学基金;
关键词
Coastal tourism; environment carrying capacity; Monte Carlo simulation; analytic hierarchical process; weight ranking; tourists' preference; coastal tourism resource; China coastal tourism; ANALYTIC HIERARCHY PROCESS; MANAGEMENT; SIMULATION; MODEL; RISK; PRICE;
D O I
10.1080/10941665.2019.1611610
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study attempts to develop a novel method to measure the importance of the characteristics closely related to the carrying capacity measurement of coastal parks by using the hierarchical method with the Monte Carlo simulation approach. One big advantage of MCAHP approach is able to effectively avoid the subjectivity of survey responses in the data collection process, leading to more reliable assessment results. Empirical results indicate the newly developed method provides a better framework for identifying the significance of the concerned factors and also produces a significant cost-saving and revenue-increasing outcome for coastal park resource uses and yet enhance tourists' satisfaction.
引用
收藏
页码:644 / 657
页数:14
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