DocumentCode
1791219
Title
Citizens´ Perception of Civil Engineering Quality Based on Data Mining
Author
Li Han
Author_Institution
Wuhan Univ., Wuhan, China
fYear
2014
fDate
25-26 Oct. 2014
Firstpage
932
Lastpage
935
Abstract
Quality of the civil engineering in a city can demonstrate the level of economic development, city image and the ability of governance of this specific area. Utilizing data mining method and algorithm, as well as the quality index of the civil engineering constructed from a large scale consumer survey, the results revealed that, as a whole, the quality of civil engineering in China is not quite good. The quality scores of Public Square, theatre, municipal pipeline, and so on, are fall behind the scores of some industry products. Moreover, there is big discrepancy existing in the results collected from different residents and different regions. The quality score of civil engineering in urban area is higher than that of rural area, same result applies from big city, medium city, and to small city as well. Marketization level, economic duality and government governance ability can be the reasons lead to diversity. So, government should reform the mechanism of quality regulation, adopt new strategy of governance to deal with the quality issues in civil engineering.
Keywords
civil engineering computing; data mining; human factors; China; Public Square; big city; citizen perception; city image; civil engineering quality; data mining; economic development; economic duality; governance ability; government governance ability; marketization level; medium city; municipal pipeline; quality index; quality regulation; quality scores; rural area; small city; theatres; urban area; Cities and towns; Civil engineering; Educational institutions; Government; Industries; Product design; Quality assessment; Civil Engineering; Consumer Survey; Data mining; Empirical Investigation; Quality;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4799-6635-6
Type
conf
DOI
10.1109/ICICTA.2014.224
Filename
7003687
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