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Agent-based simulation on tourists' congestion control during peak travel period using Logit model

机译:基于Logit模型的基于Agent的高峰旅游期间游客拥堵控制仿真

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During the peak travel period, the high concentration of tourists in a short time results in great negative influence for the scenic areas. Therefore, increasing attention from both scholars and practitioners of tourism has been paid to the tourists shunt management model during peak travel period, however, the traditional shunt strategies may cause the Matthew Effect, a complex system effect. This paper introduces the Logit model on the basis of the preliminary study, to evaluate the performance of the proposed method, two evaluation indexes of tourists balanced distribution including the variance model and the Gini Simpson are introduced. Furthermore, the paper takes Jiuzhaigou as an example and constructs the Jiuzhaigou tourist shunt simulation model based on multi-agent simulation platform of NetLogo. Numerical simulations show that the effects based on Logit model is superior to the preliminary study. (C) 2015 Elsevier Ltd. All rights reserved.
机译:在旅游高峰期,短时间内游客的高度集中对风景区造成很大的负面影响。因此,在旅游高峰时期,旅游分流管理模式越来越受到学者和旅游从业者的重视,但是传统的分流策略可能会引起马太效应,这是一个复杂的系统效应。本文在初步研究的基础上介绍了Logit模型,以评价该方法的性能,介绍了方差模型和Gini Simpson两个游客平衡分布评价指标。并以九寨沟为例,基于NetLogo的多智能体仿真平台,构建了九寨沟旅游分流仿真模型。数值仿真表明,基于Logit模型的效果优于初步研究。 (C)2015 Elsevier Ltd.保留所有权利。

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