Prediction of Underground Space Development Function of Existing Industrial District in City Based on CA-Markov Model

Xiaochun Hong; Xiang Ji

doi:10.1051/e3sconf/202123704019

All issues

Volume 237 (2021)

E3S Web Conf., 237 (2021) 04019

References

Open Access

Issue		E3S Web Conf. Volume 237, 2021 3^rd International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2020)


Article Number		04019
Number of page(s)		5
Section		Ecological Environment, Urban Planning and Construction
DOI		https://doi.org/10.1051/e3sconf/202123704019
Published online		09 February 2021

Huang Leilei, Cao Yuna. Development and Utilization of Underground Space in Old City Industrial Heritage Area[J]. Tianjin Construction Technology, 2010, 20(2):18-19. [Google Scholar]
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Xia Jian, Wang Yong. Research on the integrated development of underground space in the industrial heritage area of the old city based on overall protection[J]. Huazhong Architecture, 2016, 34. (4):17-20. [Google Scholar]
Liu Jieyi, Xia Jian, Shen Qing. Discussion on the protection of industrial cultural heritage combined with the development of underground space[J]. Chinese Journal of Underground Space and Engineering, 2012(2):5-10+17. [Google Scholar]
Zhao Yi. Research on the renewal strategy of Ningbo urban center from the perspective of inventory planning[D]. Hangzhou: Zhejiang University, 2015. [Google Scholar]
Xue B, Xiao X, Li J. Identification method and empirical study of urban industrial spatial relationship based on POI big data: a case of Shenyang City, China[J]. Geography and Sustainability, 2020, 1(2): 152-162. [Google Scholar]
Adhikari S, Southworth J. Simulating forest cover changes of Bannerghatta National Park based on a CA-Markov model: a remote sensing approach[J]. Remote Sensing, 2012, 4(10): 3215-3243. [Google Scholar]
Fu X, Wang X, Yang Y J. Deriving suitability factors for CA-Markov land use simulation model based on local historical data[J]. Journal of environmental management, 2018, 206: 10-19. [PubMed] [Google Scholar]
Hong Xiaochun. Historical evolution, current situation and development trend of space planning [J]. Journal of xi ’an university of architecture and technology (social science edition), 2020, 39(02):20-30. [Google Scholar]

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[1] Huang Leilei, Cao Yuna. Development and Utilization of Underground Space in Old City Industrial Heritage Area[J]. Tianjin Construction Technology, 2010, 20(2):18-19. [Google Scholar]

[2] Zhang Yue. Research on the Development and Utilization of Underground Space in Beijing Old City Historical and Cultural Protection Area[D]. Beijing: Beijing University of Technology, 2005. [Google Scholar]

[3] Huang Leilei. Research on the Development and Utilization of Underground Space in Old City Industrial Heritage Area[D]. Suzhou: Suzhou Institute of Science and Technology. 2010. [Google Scholar]

[4] Xia Jian, Wang Yong, Huang Leilei. Research on Underground Space Development Planning Strategies of Old City Industrial Heritage in the Context of Protection[J]. Journal of Suzhou University of Science and Technology: Engineering and Technology Edition, 2015, 28(3): 65-69. [Google Scholar]

[5] Xia Jian, Wang Yong. Research on the integrated development of underground space in the industrial heritage area of the old city based on overall protection[J]. Huazhong Architecture, 2016, 34. (4):17-20. [Google Scholar]

[6] Liu Jieyi, Xia Jian, Shen Qing. Discussion on the protection of industrial cultural heritage combined with the development of underground space[J]. Chinese Journal of Underground Space and Engineering, 2012(2):5-10+17. [Google Scholar]

[7] Zhao Yi. Research on the renewal strategy of Ningbo urban center from the perspective of inventory planning[D]. Hangzhou: Zhejiang University, 2015. [Google Scholar]

[8] Xue B, Xiao X, Li J. Identification method and empirical study of urban industrial spatial relationship based on POI big data: a case of Shenyang City, China[J]. Geography and Sustainability, 2020, 1(2): 152-162. [Google Scholar]

[9] Adhikari S, Southworth J. Simulating forest cover changes of Bannerghatta National Park based on a CA-Markov model: a remote sensing approach[J]. Remote Sensing, 2012, 4(10): 3215-3243. [Google Scholar]

[10] Fu X, Wang X, Yang Y J. Deriving suitability factors for CA-Markov land use simulation model based on local historical data[J]. Journal of environmental management, 2018, 206: 10-19. [PubMed] [Google Scholar]

[11] Hong Xiaochun. Historical evolution, current situation and development trend of space planning [J]. Journal of xi ’an university of architecture and technology (social science edition), 2020, 39(02):20-30. [Google Scholar]