全国5A级景区旅游路线规划问题研究  

Research on the National 5A Level Scenic Tourist Route Planning

作　　者：杨云鹏[1] 袁光辉 金阳[1] 樊重俊[1] 张卫国[3] 杨坚争[1] 

机构地区：[1]上海理工大学管理学院,上海200093 [2]上海财经大学信息管理与工程学院,上海200433 [3]上海理工大学理学院,上海200093

出　　处：《数学的实践与认识》2016年第15期74-80,共7页Mathematics in Practice and Theory

基　　金：上海市教育委员会科研创新重点项目(14ZZ131);上海市教育委员会科研创新重点项目(14ZZ131);国家自然科学基金项目(70973079);国家社科基金重大项目(13ZD178);教育部人文社科基金(13YJAZH019);上海市一流学科资助项目(S1205YLXK);上海市自然科学基金(13ZR1458200);上海市社科规划青年课题(2014EGL007);沪江基金(A14006);沪江基金研究基地专项"电子商务智库"(D14008);上海市研究生创新基金项目(JWCXSL1401)

摘　　要：以自驾游为代表的旅游活动正在成为全球经济发展的重要动力之一,如何优化旅游路线以便为广大旅客提供更加舒适的自驾体验日益重要.主要研究全国5A景区旅游路线规划问题.首先分析当前城市居民的假期次数与时间要求,综合时间、路程和费用最优建立综合模型.然后收集景区、路况和费用数据基于遗传算法和Matlab2011a编程求解,得出全国多个城市出发的全国5A景区旅游路线规划图和详细行程.最后根据研究结果,提出建立旅游可持续发展评价指标体系,对旅游爱好者提供旅游建议,对旅游相关部门给出政策建议.As a representative of the tourism activities,Self-Driving Tours is becoming one of the important driving force of global economic development,how to optimize the tourism routes for the majority of visitors to provide a more comfortable driving experience is becoming more and more important.This paper mainly studies the national 5A scenic tourist route planning problem.Firstly,we analyze the current city residents vacation times and time requirements,establish a comprehensive model of time,distance and cost.Then,we collect the data of area,road conditions and cost,solve the model by genetic algorithm and Matlab2009 programming,get the national 5A scenic tourist route planning map and a detailed itinerary of the city.Finally,according to the results of this study,we put forward to establish the evaluation index system of sustainable development of tourism,which provides suggestions for travel enthusiasts,gives policy suggestions for the tourism relevant departments.

关 键 词：自驾游 路线规划 遗传算法 指标体系 旅游可持续 

分 类 号：F224[经济管理—国民经济] F592