基于CiteSpace的纺织服装足迹类文献计量分析

doi:10.19398/j.att.20201100

摘要/Abstract

摘要：

为研究纺织服装领域足迹类文献研究进展,总结其研究趋势,选择CNKI数据库和WEB OF SCIENCE数据库,以2011-2020年纺织服装足迹类研究的期刊论文作为数据源,利用CiteSpace可视化文献分析工具,从关键词频次、时区视图、聚类图、时间线视图、突现词等几个角度对纺织服装领域关于足迹的研究进行分析。研究发现:纺织服装领域足迹类研究在碳足迹、水足迹的核算方法、核算数据、案例示范等方面开展了较为全面的研究,形成较为完善的研究网络;针对化学品足迹的研究起步相对较晚,相关研究正在进一步深入和完善;纺织服装足迹类研究的中文文献较多聚焦于工业生产阶段的碳足迹、水足迹核算、评价与应用示范;纺织服装足迹类研究的英文文献侧重于全生命周期视角和全球化产业链视角,量化与评价纺织服装碳足迹和水足迹,并探讨产业可持续发展与资源消耗、环境污染之间的相互关系。

关键词: 纺织服装, 足迹, CiteSpace, 知识图谱

Abstract:

In order to study the current status and trends of literatures on textile and clothing footprints, this paper selected CNKI database and WEB OF SCIENCE database, and took journal articles on textile and clothing footprints between 2011 and 2020 as the data source. CiteSpace visual literature analysis tool was employed to analyze the keyword frequency, time zone view, cluster diagram, timeline view and burst terms, etc. of research on footprint in the field of textile and clothing. The results showed that: There were abundant studies on the accounting method, accounting data, case demonstration and other aspects of carbon footprint and water footprint, forming a relatively sound research network; research on chemical footprint started late and relevant studies are being further deepened and refined; Chinese literatures on textile and clothing footprints mainly focused on the accounting, assessment and application demonstration in the stage of industrial production; English literatures mainly focused on the perspectives of full life cycle and global industrial chain, quantifying and evaluating the carbon footprint and water footprint of textile and clothing. The relationship between the sustainable development of the industry, resource consumption and environmental pollution were also well investigated.

Key words: textile and clothing, footprint, CiteSpace, knowledge graph

中图分类号:

TS101.8

丰翔, 王晓蓬, 邱笑笑, 王来力. 基于CiteSpace的纺织服装足迹类文献计量分析[J]. 现代纺织技术, 2022, 30(1): 9-17.

FENG Xiang, WANG Xiaopeng, QIU Xiaoxiao, WANG Laili. Bibliometric analysis of literatures on textile and clothing footprint based on CiteSpace[J]. Advanced Textile Technology, 2022, 30(1): 9-17.

图/表 10

图1 2011—2020年纺织服装足迹类研究中文文献关键词词频图谱

Fig.1 The frequency map of key words in Chinese literatures of textile and clothing footprint research between 2011 and 2020

图2 2011—2020年纺织服装足迹类研究英文文献关键词词频图谱

Fig.2 The frequency map of key words in English literatures of textile and clothing footprint research between 2011 and 2020

图3 2011—2020年纺织服装足迹类研究中文文献关键词时区视图

Fig.3 Time-zone view of key words in Chinese literatures of textile and clothing footprint research between 2011 and 2020

图4 2011—2020年纺织服装足迹类研究英文文献关键词时区视图

Fig.4 Time-zone view of key words in English literatures of textile and clothing footprint research between 2011 and 2020

图5 2011—2020年纺织服装足迹类研究中文文献关键词聚类图谱

Fig.5 Cluster visualization map of key words in Chinese literatures of textile and clothing footprintresearch between 2011 and 2020

图6 2011—2020年纺织服装足迹类研究英文文献关键词聚类图谱

Fig.6 Cluster visualization map of key words in English literatures of textile and clothing footprint research between 2011 and 2020

图7 2011—2020年纺织服装足迹类研究中文文献关键词聚类时间线视图

Fig.7 Timelines view of key words in Chinese literatures of textile and clothing footprint research between 2011 and 2020

图8 2011—2020年纺织服装足迹类研究英文文献关键词聚类时间线视图

Fig.8 Timelines view of key words in English literatures of textile and clothing footprint research between 2011 and 2020

图9 2011—2020年纺织服装足迹类研究中文文献突现词图谱

Fig.9 The map of burst terms in Chinese literatures of textile and clothing footprint research between 2011 and 2020

图10 2011—2020年纺织服装足迹类研究英文文献突现词图谱

Fig.10 The map of burst terms in English literatures of textile and clothing footprint research between 2011 and 2020

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