基于NSGA-II算法的阿拉斯加州朱诺市可持续旅游管理模型研究
Research on sustainable tourism management model in Juneau, Alaska based on NSGA-II algorithm
王雨欣 1张莟悦 1张敏 1王晓明 1李彦儒1
作者信息
- 1. 辽宁工程技术大学,电子与信息工程学院，辽宁省兴城市，125100
- 折叠
摘要
随着旅游业的快速增长，朱诺市面临游客过多、环境压力和基础设施负担加重的问题。本研究旨在通过建立优化模型，平衡游客数量、旅游收入与环境影响，以实现旅游业的可持续发展。目前的研究主要集中于单一因素的分析，如游客流量、碳排放等，但缺乏一个综合模型来平衡经济、环境和社会各方的需求。朱诺市的情况涉及多个相互关联的因素，且这些因素的关系复杂，因此，现有的研究方法在解决这一问题时具有局限性。本文利用遗传算法优化策略，并提出相应的政策建议，为朱诺市和其他类似目的地提供可行的解决方案。Abstract
With the rapid growth of tourism, the city of Juno is facing an overabundance of tourists, environmental pressures, and an increased burden on infrastructure. This study aims to achieve sustainable tourism by establishing an optimization model to balance the number of tourists, tourism revenue, and environmental impact. Current research focuses on the analysis of single factors, such as tourist flows, carbon emissions, etc., but lacks a comprehensive model to balance the needs of economic, environmental and social parties. The case of Juno involves multiple interrelated factors, and the relationship between these factors is complex, so the existing research methods have limitations in addressing this issue. This paper uses genetic algorithms to optimize strategies and put forward corresponding policy recommendations to provide feasible solutions for the city of Juno and other similar destinations. 关键词
环境管理/可持续旅游管理/NSGA-II算法/多目标优化模型/生态经济系统Key words
Environmental management/sustainable tourist management/NSGA-II algorithm/multi-objective optimization model/Department of Ecological Economics引用本文复制引用
王雨欣,张莟悦,张敏,王晓明,李彦儒.基于NSGA-II算法的阿拉斯加州朱诺市可持续旅游管理模型研究[EB/OL].(2025-05-13)[2025-12-13].http://www.paper.edu.cn/releasepaper/content/202505-36.学科分类
旅游经济/环境管理
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