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The Application of the Analytic Hierarchy Process and a New Correlation Algorithm to Urban Construction and Supervision Using Multi-Source Government Data in Tianjin

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Tianjin Institute of Surveying and Mapping, Tianjin 300381, China
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School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China
3
Key Laboratory of Geographic Information Systems, Ministry of Education, Wuhan University, Luoyu Road 129, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2018, 7(2), 50; https://doi.org/10.3390/ijgi7020050
Received: 1 December 2017 / Revised: 15 January 2018 / Accepted: 1 February 2018 / Published: 5 February 2018
(This article belongs to the Special Issue Geospatial Big Data and Urban Studies)
As the era of big data approaches, big data has attracted increasing amounts of attention from researchers. Various types of studies have been conducted and these studies have focused particularly on the management, organization, and correlation of data and calculations using data. Most studies involving big data address applications in scientific, commercial, and ecological fields. However, the application of big data to government management is also needed. This paper examines the application of multi-source government data to urban construction and supervision in Tianjin, China. The analytic hierarchy process and a new approach called the correlation degree algorithm are introduced to calculate the degree of correlation between different approval items in one construction project and between different construction projects. The results show that more than 75% of the construction projects and their approval items are highly correlated. The results of this study suggest that most of the examined construction projects are well supervised, have relatively high probabilities of satisfying the relevant legal requirements, and observe their initial planning schemes. View Full-Text
Keywords: analytical hierarchy process; correlation algorithm; construction and supervision; multi-source government data; multi-criteria decision aiding analytical hierarchy process; correlation algorithm; construction and supervision; multi-source government data; multi-criteria decision aiding
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Wang, S.; Sheng, Z.; Xi, Y.; Ma, X.; Zhang, H.; Kang, M.; Ren, F.; Du, Q.; Hu, K.; Han, Z. The Application of the Analytic Hierarchy Process and a New Correlation Algorithm to Urban Construction and Supervision Using Multi-Source Government Data in Tianjin. ISPRS Int. J. Geo-Inf. 2018, 7, 50.

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ISPRS Int. J. Geo-Inf., EISSN 2220-9964, Published by MDPI AG
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