Research on the Renewal of Urban Old Industrial Lots Based on Big Data —— Take the Dongfeng Street Area of Daqing City as an Example

Liu Guang; Li Jingwei

doi:doi:10.11648/j.sd.20231106.18

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Research on the Renewal of Urban Old Industrial Lots Based on Big Data —— Take the Dongfeng Street Area of Daqing City as an Example

Liu Guang, Li Jingwei

Published in Science Discovery (Volume 11, Issue 6)

Received: 19 November 2023 Accepted: 5 December 2023 Published: 8 December 2023

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Abstract

With the acceleration of urban development and the transformation of industrial structure, the old industrial lot has become the focus of urban stock planning. However, the gradient of industrialization development in different regions of China is quite different, and there are many influencing factors. It is difficult to propose suitable renewal strategies for the renewal of old industrial lots in different cities because of the lack of scientific analysis methods. In recent years, with the rapid development of big data technology, the application of big data in urban planning is gradually mature, and it has become an effective means to analyze the law of social activities of urban residents and the characteristics of urban spatial aggregation. This paper creatively introduces big data analysis technology into the analysis of the spatial environment of the old industrial lot in the city, carries out visual analysis on the block vitality, traffic organization, functional formats and leisure space of the old industrial lot in Dongfeng Street, Daqing City, and finds the internal correlation between crowd flow and urban spatial vitality. In order to realize the sustainable renewal of the old industrial lot, the paper puts forward the renewal strategy of adjusting the nature of land use, optimizing service facilities, perfecting traffic organization and creating good places.

Published in	Science Discovery (Volume 11, Issue 6)
DOI	10.11648/j.sd.20231106.18
Page(s)	243-260
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Big Data, Old Industrial Area, ArcGIS, Quantitative Analysis, Update

References

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APA Style

Guang, L., Jingwei, L. (2023). Research on the Renewal of Urban Old Industrial Lots Based on Big Data —— Take the Dongfeng Street Area of Daqing City as an Example. Science Discovery, 11(6), 243-260. https://doi.org/10.11648/j.sd.20231106.18

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ACS Style

Guang, L.; Jingwei, L. Research on the Renewal of Urban Old Industrial Lots Based on Big Data —— Take the Dongfeng Street Area of Daqing City as an Example. Sci. Discov. 2023, 11(6), 243-260. doi: 10.11648/j.sd.20231106.18

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AMA Style

Guang L, Jingwei L. Research on the Renewal of Urban Old Industrial Lots Based on Big Data —— Take the Dongfeng Street Area of Daqing City as an Example. Sci Discov. 2023;11(6):243-260. doi: 10.11648/j.sd.20231106.18

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@article{10.11648/j.sd.20231106.18,
  author = {Liu Guang and Li Jingwei},
  title = {Research on the Renewal of Urban Old Industrial Lots Based on Big Data —— Take the Dongfeng Street Area of Daqing City as an Example},
  journal = {Science Discovery},
  volume = {11},
  number = {6},
  pages = {243-260},
  doi = {10.11648/j.sd.20231106.18},
  url = {https://doi.org/10.11648/j.sd.20231106.18},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20231106.18},
  abstract = {With the acceleration of urban development and the transformation of industrial structure, the old industrial lot has become the focus of urban stock planning. However, the gradient of industrialization development in different regions of China is quite different, and there are many influencing factors. It is difficult to propose suitable renewal strategies for the renewal of old industrial lots in different cities because of the lack of scientific analysis methods. In recent years, with the rapid development of big data technology, the application of big data in urban planning is gradually mature, and it has become an effective means to analyze the law of social activities of urban residents and the characteristics of urban spatial aggregation. This paper creatively introduces big data analysis technology into the analysis of the spatial environment of the old industrial lot in the city, carries out visual analysis on the block vitality, traffic organization, functional formats and leisure space of the old industrial lot in Dongfeng Street, Daqing City, and finds the internal correlation between crowd flow and urban spatial vitality. In order to realize the sustainable renewal of the old industrial lot, the paper puts forward the renewal strategy of adjusting the nature of land use, optimizing service facilities, perfecting traffic organization and creating good places.
},
 year = {2023}
}

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TY  - JOUR
T1  - Research on the Renewal of Urban Old Industrial Lots Based on Big Data —— Take the Dongfeng Street Area of Daqing City as an Example
AU  - Liu Guang
AU  - Li Jingwei
Y1  - 2023/12/08
PY  - 2023
N1  - https://doi.org/10.11648/j.sd.20231106.18
DO  - 10.11648/j.sd.20231106.18
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 243
EP  - 260
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20231106.18
AB  - With the acceleration of urban development and the transformation of industrial structure, the old industrial lot has become the focus of urban stock planning. However, the gradient of industrialization development in different regions of China is quite different, and there are many influencing factors. It is difficult to propose suitable renewal strategies for the renewal of old industrial lots in different cities because of the lack of scientific analysis methods. In recent years, with the rapid development of big data technology, the application of big data in urban planning is gradually mature, and it has become an effective means to analyze the law of social activities of urban residents and the characteristics of urban spatial aggregation. This paper creatively introduces big data analysis technology into the analysis of the spatial environment of the old industrial lot in the city, carries out visual analysis on the block vitality, traffic organization, functional formats and leisure space of the old industrial lot in Dongfeng Street, Daqing City, and finds the internal correlation between crowd flow and urban spatial vitality. In order to realize the sustainable renewal of the old industrial lot, the paper puts forward the renewal strategy of adjusting the nature of land use, optimizing service facilities, perfecting traffic organization and creating good places.

VL  - 11
IS  - 6
ER  -

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Author Information

Liu Guang

MCC Huatian Engineering Technology Co., Ltd., Nanjing, China

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Li Jingwei

College of Civil Engineering and Architecture, Northeast Petroleum University, Daqing, China

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Plain Text BibTeX RIS

APA Style

Guang, L., Jingwei, L. (2023). Research on the Renewal of Urban Old Industrial Lots Based on Big Data —— Take the Dongfeng Street Area of Daqing City as an Example. Science Discovery, 11(6), 243-260. https://doi.org/10.11648/j.sd.20231106.18

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ACS Style

Guang, L.; Jingwei, L. Research on the Renewal of Urban Old Industrial Lots Based on Big Data —— Take the Dongfeng Street Area of Daqing City as an Example. Sci. Discov. 2023, 11(6), 243-260. doi: 10.11648/j.sd.20231106.18

Copy | Download

AMA Style

Guang L, Jingwei L. Research on the Renewal of Urban Old Industrial Lots Based on Big Data —— Take the Dongfeng Street Area of Daqing City as an Example. Sci Discov. 2023;11(6):243-260. doi: 10.11648/j.sd.20231106.18

Copy | Download

@article{10.11648/j.sd.20231106.18,
  author = {Liu Guang and Li Jingwei},
  title = {Research on the Renewal of Urban Old Industrial Lots Based on Big Data —— Take the Dongfeng Street Area of Daqing City as an Example},
  journal = {Science Discovery},
  volume = {11},
  number = {6},
  pages = {243-260},
  doi = {10.11648/j.sd.20231106.18},
  url = {https://doi.org/10.11648/j.sd.20231106.18},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20231106.18},
  abstract = {With the acceleration of urban development and the transformation of industrial structure, the old industrial lot has become the focus of urban stock planning. However, the gradient of industrialization development in different regions of China is quite different, and there are many influencing factors. It is difficult to propose suitable renewal strategies for the renewal of old industrial lots in different cities because of the lack of scientific analysis methods. In recent years, with the rapid development of big data technology, the application of big data in urban planning is gradually mature, and it has become an effective means to analyze the law of social activities of urban residents and the characteristics of urban spatial aggregation. This paper creatively introduces big data analysis technology into the analysis of the spatial environment of the old industrial lot in the city, carries out visual analysis on the block vitality, traffic organization, functional formats and leisure space of the old industrial lot in Dongfeng Street, Daqing City, and finds the internal correlation between crowd flow and urban spatial vitality. In order to realize the sustainable renewal of the old industrial lot, the paper puts forward the renewal strategy of adjusting the nature of land use, optimizing service facilities, perfecting traffic organization and creating good places.
},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Research on the Renewal of Urban Old Industrial Lots Based on Big Data —— Take the Dongfeng Street Area of Daqing City as an Example
AU  - Liu Guang
AU  - Li Jingwei
Y1  - 2023/12/08
PY  - 2023
N1  - https://doi.org/10.11648/j.sd.20231106.18
DO  - 10.11648/j.sd.20231106.18
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 243
EP  - 260
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20231106.18
AB  - With the acceleration of urban development and the transformation of industrial structure, the old industrial lot has become the focus of urban stock planning. However, the gradient of industrialization development in different regions of China is quite different, and there are many influencing factors. It is difficult to propose suitable renewal strategies for the renewal of old industrial lots in different cities because of the lack of scientific analysis methods. In recent years, with the rapid development of big data technology, the application of big data in urban planning is gradually mature, and it has become an effective means to analyze the law of social activities of urban residents and the characteristics of urban spatial aggregation. This paper creatively introduces big data analysis technology into the analysis of the spatial environment of the old industrial lot in the city, carries out visual analysis on the block vitality, traffic organization, functional formats and leisure space of the old industrial lot in Dongfeng Street, Daqing City, and finds the internal correlation between crowd flow and urban spatial vitality. In order to realize the sustainable renewal of the old industrial lot, the paper puts forward the renewal strategy of adjusting the nature of land use, optimizing service facilities, perfecting traffic organization and creating good places.

VL  - 11
IS  - 6
ER  -

Copy | Download