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.
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