Spatial Pattern Analysis of Zhuhai Urban Development Based on POI Big Data

Zili Zhao; Xiupeng Zhang; Zhi’ao Zhang; Xintao Peng

doi:10.2991/978-94-6463-064-0_82

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Spatial Pattern Analysis of Zhuhai Urban Development Based on POI Big Data

Authors

Zili Zhao¹, Xiupeng Zhang¹^{, *}, Zhi’ao Zhang¹, Xintao Peng¹

¹Zhuhai Institute of Urban Planning & Design, Zhuhai, Guangdong, China

^*Corresponding author. Email: zhangxp@zhghy.com

Corresponding Author

Xiupeng Zhang

Available Online 27 December 2022.

DOI: 10.2991/978-94-6463-064-0_82 How to use a DOI?
Keywords: POI big data; Baidu Huiyan; spatial pattern; Zhuhai city
Abstract: This study is to obtain accurately the urban development & evolution characteristics and spatial development pattern information of Zhuhai, to analyze its urban development laws by using spatio-temporal big data, to improve its scientific entity and effectiveness of planning, as well as to help its urban construction and development. It makes research to the population density, catering service facilities and spatial distribution characteristics of work and residence in Zhuhai with Baidu Huiyan data and from the time-space macro analysis of the urban development of the whole city to the specific evaluations of people, land and things in the dimensions of districts, counties and streets. It aims to explore the internal texture, spatial pattern and evolution law of Zhuhai urban development. It proves that Baidu Huiyan big data under scientific mining and processing can not only provide a more dynamic perspective and method for urban space research, but also provide a good analysis and expression way for the facility planning and evaluation in the future urban planning.
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 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
Series: Atlantis Highlights in Computer Sciences
Publication Date: 27 December 2022
ISBN: 10.2991/978-94-6463-064-0_82
ISSN: 2589-4900
DOI: 10.2991/978-94-6463-064-0_82 How to use a DOI?
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

ris enw bib

TY  - CONF
AU  - Zili Zhao
AU  - Xiupeng Zhang
AU  - Zhi’ao Zhang
AU  - Xintao Peng
PY  - 2022
DA  - 2022/12/27
TI  - Spatial Pattern Analysis of Zhuhai Urban Development Based on POI Big Data
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 794
EP  - 807
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_82
DO  - 10.2991/978-94-6463-064-0_82
ID  - Zhao2022
ER  -

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