基于大数据技术的甘肃智慧旅游系统  

Gansu smart tourism system based on big data

作　　者：郭亮 杨裔[1,2] 秦炳峰 曹建文 李敏 袁威 李彩虹 王军涛[6] GUO Liang;YANG Yi;QIN Bingfeng;CAO Jianwen;LI Min;YUAN Wei;LI Caihong;WANG Juntao(School of Information Science and Engineering,Lanzhou University,Lanzhou 730000,China;Key Laboratory of Tourism Information Fusion Processing and Data Ownership Protection,Ministry of Culture and Tourism,Lanzhou University,Lanzhou 730000,China;Technology Information Department,Gansu Provincial Department of Culture and Tourism,Lanzhou 730000,China;School of Computer and Artificial Intelligence,Lanzhou Polytechnical College,Lanzhou 730050,China;Key Laboratory of Artificial Intelligence and Computing Power Technology,Lanzhou 730000,China;China Telecom WanWei Information Technology Co.,Ltd.,Lanzhou 730000,China)

机构地区：[1]兰州大学信息科学与工程学院,甘肃兰州730000 [2]旅游信息融合处理与数据权属保护文化和旅游部重点实验室,甘肃兰州730000 [3]甘肃省文化和旅游厅科技信息处,甘肃兰州730000 [4]兰州工业学院计算机与人工智能学院,甘肃兰州730050 [5]甘肃省人工智能与算力技术重点实验室,甘肃兰州730000 [6]中电万维信息技术有限责任公司,甘肃兰州730000

出　　处：《大数据》2024年第1期157-169,共13页Big Data Research

基　　金：科技创新2030—“新一代人工智能”重大项目(No.2021ZD0111405)。

摘　　要：随着旅行方式的不断演变,传统旅游管理服务模式的滞后已不再满足现代游客对个性化、品质化出行的需求。为解决该问题,搭建了甘肃省智慧旅游系统。首先对相关研究进行综述,然后详细描述了系统的构成和实现过程,包括甘肃智慧旅游大数据中心的构建和“一部手机游甘肃”综合服务平台的设计。系统通过分层架构和逻辑框架,实现了旅游数据与游客行为的关联映射,并对多元数据进行融合计算。最后,以高速公路自驾车流量预测模型、旅游目的地形象代表的图片选择模型和旅游评论情感影响因素分析模型为例,阐述了综合服务平台面向政府、业态、游客提供的智能化服务。应用成效表明,该系统的实施有效地提高了甘肃地区旅游服务的质量和游客满意度,进一步推动了甘肃智慧旅游的快速发展。With the continuous evolution of tourists'travel preferences,the traditional tourism management and service models are no longer able to satisfy modern tourists'desire for personalized and high-quality travel experiences.To address this issue,the Gansu Province Smart Tourism System has been developed.The relevant research is reviewed firstly,followed by a detailed description of the system's composition and implementation process,including the construction of the Gansu Smart Tourism Big Data Center and the design of the"Explore Gansu with One Mobile App"comprehensive service platform.Using a layered architecture and logical framework,the system achieves the correlated mapping of tourism data and visitor behavior,along with the fusion computation of diverse data.Finally,taking examples such as the highway selfdriving traffic prediction model,the image selection model based on tourism destination impressions,and the analysis model of factors influencing sentiment in tourism reviews,the comprehensive service platform's provision of intelligent services to government,industry,and tourists is elaborated.The application results demonstrate that the system's implementation effectively enhances the quality of tourism services and visitor satisfaction in the Gansu region,further propelling the rapid development of smart tourism in Gansu.

关 键 词：智慧旅游 大数据 系统应用 旅游管理 游客体验 

分 类 号：TP315[自动化与计算机技术—计算机软件与理论]