A study of a low-carbon and intelligent city index system

Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/120618

DC Field	Value	Language
dc.contributor	地政系
dc.creator	Shen, Yu-Sheng
dc.creator	劉小蘭
dc.creator	Liu, Hsiao-Lan
dc.date	2016-11
dc.date.accessioned	2018-10-17T09:46:35Z	-
dc.date.available	2018-10-17T09:46:35Z	-
dc.date.issued	2018-10-17T09:46:35Z	-
dc.identifier.uri	http://nccur.lib.nccu.edu.tw/handle/140.119/120618	-
dc.description.abstract	Because the past studies lack operational framework, this study proposes the analytical framework, which includes seven steps (Figure 1). In addition to an analytical framework for this paper, it also can apply to other cities in different regions and countries due to its general rule.	en_US
dc.format.extent	115 bytes	-
dc.format.mimetype	text/html	-
dc.relation	Civil, Architecture and Environmental Engineering: Proceedings of the International Conference ICCAE, Taipei, Taiwan, November 4-6, 2016
dc.relation	VOLUME 2 : Environmental science and environmental engineering
dc.title	A study of a low-carbon and intelligent city index system	en_US
dc.type	conference
item.fulltext	With Fulltext	-
item.openairecristype	http://purl.org/coar/resource_type/c_18cf	-
item.grantfulltext	open	-
item.openairetype	conference	-
item.cerifentitytype	Publications	-
Appears in Collections:	會議論文

File	Description	Size	Format
index.html		115 B	HTML2	View/Open

Check