A bibliometric review of urban energy metabolism: Evolutionary trends and the application of network analytical methods
A bibliometric review of urban energy metabolism: Evolutionary trends and the application of network analytical methods
复制标题
城市能量代谢的文献计量综述:演化趋势与网络分析方法的应用
DOI:
10.1016/j.jclepro.2020.123403
复制
发表时间:
2021-01
影响因子:
11.1
通讯作者:
Geoffrey Qiping Shen
中科院分区:
文献类型:
--
作者:
Miaohan Tang;Jingke Hong;Shan Guo;Guiwen Liu;Geoffrey Qiping Shen
Urban energy metabolism reflects the energy transmission and exchange process to uncover the structure and functionality of urban activities. The literature on urban energy metabolism is overwhelming and still growing. However, few publications have attempted to provide a specific literature review of urban energy metabolism. Therefore, this study conducted a systematic bibliometric analysis on urban energy metabolism publications to explore research status and emerging trends. Results showed that the amount of co-cited literature on urban metabolism displayed an upward trend during the study period. After 2006, the number of urban metabolism publications implied an upsurge. Based on the co-word analysis of keywords, “energy” occupied much of the attention of urban metabolism research. The high citation keywords relating to network analytical methods in urban energy metabolism publications were analyzed via the co-word network, including ecological network analysis, input-output analysis, and the complex network. The combination of input-output analysis and ecological network analysis has been widely applied to urban energy metabolism studies worldwide, especially in the context of China. Consequently, future research opportunities were suggested from the following aspects: (1) the inclusion of both spatial and temporal dimensions of energy metabolic systems, and (2) the ability to unravel the interactions of components in a dynamic manner. The findings of this study were not only beneficial for scholars to detail a holistic picture of current research progress, remained questions and emerging research methods, but also valuable to assist practitioners to evaluate and monitor the urban energy metabolic performance with suitable network methods.
登录
查看更多内容
影响因子:
5.9
作者:
Hongmei Zheng;B. Fath;Yan Zhang
通讯作者:
Hongmei Zheng;B. Fath;Yan Zhang
影响因子:
12.8
作者:
G. Venkatesh;S. Sægrov;H. Brattebø
通讯作者:
G. Venkatesh;S. Sægrov;H. Brattebø
影响因子:
3.1
作者:
Chun-Lin Lee;Shu-li Huang;Shih-Liang Chan
通讯作者:
Chun-Lin Lee;Shu-li Huang;Shih-Liang Chan
影响因子:
6.9
作者:
Simone Maranghi;M. Parisi;A. Facchini;A. Rubino;O. Kordas;R. Basosi
通讯作者:
Simone Maranghi;M. Parisi;A. Facchini;A. Rubino;O. Kordas;R. Basosi
影响因子:
9
作者:
N. U. Ukidwe;B. Bakshi
通讯作者:
N. U. Ukidwe;B. Bakshi