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基于图论模型的安徽省高校红色旅游路径优化研究--以安徽工程大学为例 被引量:1

Research on the Route Optimization of Red Tourism for Universities in Anhui Province Based on Graph-Theoretic Model:Taking Anhui Polytechnic University as an Example
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摘要 党史学习教育已经成为大学生思想政治教育的重点课题,众多高校组织学生参观红色历史文化景点,以强化对大学生的党史学习教育。文章以安徽工程大学为调查地点,采用调查问卷的方式,调查大学生对红色旅游的态度,对红色旅游的景点类型、出行方式偏好以及可接受费用等情况,并对数据进行描述性统计及多重响应分析。结合上述分析结果,利用图论模型对安徽省众多红色文化景点进行评估,从中甄选更具影响力、更值得参观学习的景点,并规划最优的景点参观路线,为有需求的高校提供相关游学方案。 Party history learning and education have become a key topic of ideological and political education of college and university students.Many colleges and universities organize students to visit red historical and cultural attractions to enhance their party history learning and education.In this paper,with Anhui Polytechnic University as the investigation site,the method of the questionnaire is used to investigate the students'attitudes towards red tourism,preferences for attraction types and travel modes,and acceptable expenses.Then,descriptive statistics and multiple response analysis are conducted on the data.Combined with the above analysis results,the graph-theoretic model is used to assess many red cultural attractions in Anhui Province to select more influential attractions that are more worth visiting,and the optimal route to visit the attractions is planned,so as to provide relevant study tour schemes for colleges and universities in need.
作者 王立伟 孙羽驰 WANG Li-wei;SUN Yu-chi(Anhui Polytechnic University,Wuhu Anhui 241000,China)
机构地区 安徽工程大学
出处 《铜陵学院学报》 2023年第2期73-77,共5页 Journal of Tongling University
基金 国家级大学生创新训练项目“基于图论模型的安徽省红色文化景点旅游路线分析”(202110363104)。
关键词 多重响应分析 图论模型 遗传算法 multiple response analysis graph-theoretic model genetic algorithm
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