中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2023, Vol. 42 ›› Issue (9): 99-105.DOI: 10.3969/j.issn.1674-0696.2023.09.14

• 交通基础设施工程 • 上一篇    

疫情防控常态化下多目标旅游路线规划

王维莉,邹雪儿   

  1. (上海海事大学 物流科学与工程研究院,上海 201306)
  • 收稿日期:2022-03-21 修回日期:2022-11-06 发布日期:2023-10-16
  • 作者简介:王维莉(1987—),女,湖北武汉人,副教授,博士,主要从事综合运输与物流工程方面的研究。E-mail:wlwang@shmtu.edu.cn 通信作者:邹雪儿(1998—),女,湖北孝感人,硕士研究生,主要从事综合运输与物流工程方面的研究。E-mail:Neige98@163.com
  • 基金资助:
    上海市科技创新行动计划项目(19DZ1209600);国家自然科学基金项目(71904116)

Multi-objective Tourism Route Planning under Regular Epidemic Prevention and Control

WANG Weili, ZOU Xueer   

  1. (Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai 201306, China)
  • Received:2022-03-21 Revised:2022-11-06 Published:2023-10-16

摘要: 在疫情防控常态化下,热门旅游景点应遵循“限量、预约、错峰”的要求;同时各地散发的疫情可能会导致部分景区临时关闭,游客需要随时关注相关信息并及时调整旅游路线。综合考虑疫情防控因素,提出了一种面向游客个性化体验的旅游路线规划方法。通过获取景点信息和用户对景点的评论,考虑景点热度和景点开放时长对游客出行体验的影响设计了景点评分机制,建立以时间最短与费用最少为目标函数的旅游路线规划模型;然后通过高德地图开放平台获取路网数据,并设计改进的蚁群算法进行求解;并以上海市旅游景点为例,构建了疫情防控常态化下的多种出游情境,获得各情境下最优的旅游路线。研究结果表明:所提出的旅游路线规划方法考虑了疫情防控相关影响,能有效减少用户的旅行时间和旅行成本,具有较好的实用性,为相关旅游产品的规划提供借鉴与参考。

关键词: 交通工程;旅游路线规划;个性化体验;景点评分;蚁群算法;疫情

Abstract: Under regular epidemic prevention and control, reservation policies at popular scenic spots are subject to the requirements of “limited quantity, reservation and staggered peak”. At the same time, the sporadic outbreaks throughout the country may cause the temporary closure of some scenic spots. Tourists need to pay attention to relevant information and adjust their tourism routes in time. Therefore, a personalized tourism route planning method for tourists was proposed, comprehensively considering the factors of epidemic prevention and control. Firstly, by obtaining information about tourist attractions and user comments on them, a rating mechanism for tourist attractions was designed considering the impact of attraction popularity and its opening time on tourist travel experience, a tourism route planning model with the objective function of minimizing time and cost was established. Then, the road network data was obtained through the Gaode Map open platform and an improved ant colony algorithm was designed for solution. Finally, taking the scenic spots in Shanghai as an example, a variety of travel scenarios under regular epidemic prevention and control were built, and the optimal travel routes in each scenario was obtained. Research results demonstrate that the proposed tourism route planning method takes into account the impact of epidemic prevention and control, which can effectively reduce users travel time and travel cost. The proposed method has good practicability, which can provide reference for the planning of relevant tourism products.

Key words: traffic engineering; tourism route planning; personalized experience; attraction rating; ant colony algorithm; epidemic

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