DocumentCode :
3439055
Title :
Research on Warning for urban management issues based on hotline data
Author :
Jiang, Guorui ; Jia, Ce
Author_Institution :
Sch. of Econ. & Manage., Beijing Univ. of Technol., Beijing, China
Volume :
3
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
725
Lastpage :
730
Abstract :
For the “Passive and Rushing” work pattern issues in the urban management, this paper establishes a prediction model and a warning model for the urban management issues using prediction and warning theories, which based on the warning index system. The prediction model is constructed on the basis of urban management hotline data with the occurrence frequency features of the urban management issues. The paper has considerable results with the quadratic curve smoothing method and optimal search for smoothing parameters with 0.618 optimization method. Furthermore, by analyzing the generation factors and characters of urban management issues, it also establishes a warning model to promote urban management assistance. Practical instances show that the presented method in this paper has accurate prediction for the frequency of urban management issues. It will provide reliable evidences for the managers to handle the urban management issues more effectively and change the negative mode of “After Management” to be a more positive one. It also brings a referential idea for the innovations of urban management patterns.
Keywords :
alarm systems; optimisation; prediction theory; smoothing methods; town and country planning; hotline data; optimal search; optimization; prediction model; quadratic curve smoothing method; smoothing parameters; urban management issues; warning index system; warning model; work pattern issues; Ions; Urban Management Issues; Warning Index system; Warning Model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6582-8
Type :
conf
DOI :
10.1109/ICICISYS.2010.5658264
Filename :
5658264
Link To Document :
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