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基于CiteSpace的危险品道路运输路径优化研究态势分析

作者:李泽文,张萌萌  发布时间:2023-05-08   编辑:赵玉真   审核人:郎伟锋    浏览次数:

基于CiteSpace的危险品道路运输路径优化研究态势分析

李泽文1,2,张萌萌1,2*

1.山东交通学院 交通与物流工程学院,山东 济南  250357;

2.山东省智慧交通重点实验室(筹),山东 济南  250357

摘要:为分析危险品道路运输路径优化领域的研究态势,筛选2000—2021年Web of Science核心合集数据库和中国知网的文献数据,采用可视化文献分析软件CiteSpace分析国内、外危险品道路运输路径优化领域的科研合作现状、研究热点及演进趋势。结果表明:在科研合作上,中、美等国家注重合作交流,我国在危险品道路运输路径优化领域的影响力弱于美国,高校间合作密切,非高校机构多进行独立研究,国内、外均形成合作较密切且具有一定影响力的科研团队,发文数量与质量均较高;研究热点包括危险品道路运输路径优化模型、求解算法及信息系统应用等3方面;从演进趋势看,国内、外的危险品道路运输路径优化领域的演进趋势较一致,但国内研究相对滞后。建议相关研究人员增进与跨国及机构间的交流与合作,优化模型指标体系,改进求解算法,加强与现代先进信息技术的融合应用。

关键词:研究态势;CiteSpace;危险品运输;路径优化

Analysis of research trend related to routes optimization of dangerous goods trucking by CiteSpace

LI Zewen1,2, ZHANG Mengmeng1,2*

1.School of Transportation and Logistics Engineering, Shandong Jiaotong University, Jinan 250357,China;

2.Shandong Key Laboratory of Smart Transportation(Preparation),Jinan 250357,China

Abstract:In order to analyze the research trend in the field of routes optimization of dangerous goods trucking, the Web of Science core collection and CNKI literature data from the year of 2000 to 2021 are searched. The aspects of scientific research cooperation, research hotpot and research trend are analyzed with the visual literature analysis software of CiteSpace. The results show that: Chinese and American researchers have paid more attention on cooperation and interactions, while China′s influence in the field was inferior to the United States′; the cooperation among universities has close connection; most institutions which has nothing to do with university have conducted independent research; research teams with good cooperation and certain influence have been formed both domestically and intentionally, the numbers of papers are huge and the paper′s level is high. The research hotpots include three aspects: trucking routes optimization model of dangerous goods, the solution algorithm and the using of information system. Regarding the research trends, the trend of routes optimization of dangerous goods trucking is similar both domestically and internationally, the home research is relatively lagging behind. It is suggested that home researchers should enhance the communication and cooperation with foreign institutions, and optimize the model index system, improve the solution algorithm, and strengthen the integration and application of modern advanced information technology.

Keywords: research trends; CiteSpace; dangerous goods trucking; routes optimization

    

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