Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)

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Spatial-Temporal Analysis of Street Patrol Cases in Zhengzhou, China, Using Getis-Ord Gi* and Space-Time Cube

Authors
Yirui Jiang1, 2, Shan Zhao2, *, Hongwei Li2, Juan Lei2, Linqing He2, Ge Zhu2, Jiatian Bu3
1School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, 450001, China
2School of Geoscience and Technology, Zhengzhou University, Zhengzhou, 450001, China
3Pearl River Development Planning Institute, Guangzhou, 510000, China
*Corresponding author. Email: zhaoshan4geo@zzu.edu.cn
Corresponding Author
Shan Zhao
Available Online 26 July 2023.
DOI
10.2991/978-94-6463-200-2_67How to use a DOI?
Keywords
Street patrol cases; Spatial-temporal analysis; Getis-Ord Gi*; Space-time cube
Abstract

Urban management is an important content of social management, which is related to people's livelihood and social harmony. With the rapid advancement of urbanization and the continuous expansion of urban scale, urban management faces greater challenges, and it is very important to complete urban management efficiently and effectively. The purpose of this study is to analyse the spatiotemporal characteristics of street patrol cases in Zhengzhou, China. A statistical approach is used for overall analysis, then analysis method of Getis-Ord Gi* and space-time cube are used. Focusing on smart city management work in the central city of Zhengzhou, the study examines street patrol cases in the categories of urban environment and street order. The main findings are as follows: The analysis by the space-time cube model shows that street order case hotspots have seasonal characteristics on monthly data. The urban environment cases have a wider distribution and higher density during winter near the Chinese New Year.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
26 July 2023
ISBN
978-94-6463-200-2
ISSN
2589-4919
DOI
10.2991/978-94-6463-200-2_67How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yirui Jiang
AU  - Shan Zhao
AU  - Hongwei Li
AU  - Juan Lei
AU  - Linqing He
AU  - Ge Zhu
AU  - Jiatian Bu
PY  - 2023
DA  - 2023/07/26
TI  - Spatial-Temporal Analysis of Street Patrol Cases in Zhengzhou, China, Using Getis-Ord Gi* and Space-Time Cube
BT  - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
PB  - Atlantis Press
SP  - 648
EP  - 654
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-200-2_67
DO  - 10.2991/978-94-6463-200-2_67
ID  - Jiang2023
ER  -