Exploring Temporal Patterns of Urban Management Cases Based on Functional Principal Component Data Analysis. Issue 1 (1st June 2022)

• Record Type: Journal Article
• Authors: Cao, Xinyue; Liu, Fan
• Is Part Of: Journal of physics. Volume 2202:Issue 1(2022)
• Publication Date: 2022-06-01
• Subjects: Smart City -- functional principal component analysis (FPCA) -- urban management cases (UMCs) -- time variability patterns; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2202/1/012037
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: This paper indentifies temporal patterns of urban management cases (UMCs) to facilitate relevant administrations finding UMCs from passive to active in a timely and effective way by employing functional principal component analysis (FPCA). Finally, this work obtains temporal patterns of UMCs which are different variability modes of case time series globally, providing practical decision making supports to build up precaution against cases and efficiency quality of related administrations. Furthermore, this work will contribute to the development of Smart City with social harmony greatly. Besides, the study also enriches research in related fields and has a specific academic value.