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Analysis of Three-Dimensional Space Expansion Characteristics in Old Industrial Area Renewal Using GIS and Barista: A Case Study of Tiexi District, Shenyang, China

Author

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  • Yanyan Xu

    (CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, No.72 Wenhua Road, Shenyang 110016, China
    School of Architecture, Tianjin Chengjian University, No.26 Jinjing Road, Tianjin 300384, China
    University of Chinese Academy of Sciences, No. 19 Yuquan Road, Beijing 100049, China)

  • Miao Liu

    (CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, No.72 Wenhua Road, Shenyang 110016, China)

  • Yuanman Hu

    (CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, No.72 Wenhua Road, Shenyang 110016, China)

  • Chunlin Li

    (CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, No.72 Wenhua Road, Shenyang 110016, China)

  • Zaiping Xiong

    (CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, No.72 Wenhua Road, Shenyang 110016, China)

Abstract

With rapid urban development in China in the last two decades, 3D characteristics have been the main feature of urban morphology. Nevertheless, the vast majority of urban growth research has only focused on area expansion horizontally, with few studies conducted in a 3D perspective. In this paper, the characteristics of 3D expansion that occurred in Tiexi from 1997 to 2011 were evaluated based on geographic information system (GIS) tools, remote-sensing images, and Barista software. Landscape index, the spatiotemporal distribution of changes in buildings’ renewal modes and variations in city skylines as well as the relationship between number and size of high-rise buildings are the specific phenomena and data utilized to quantify the 3D urban expansion. The results showed that the average height of Tiexi increased by 0.69 m annually, the average urban capacity increased by 490.15 m 3 annually, and space congestion degree increased by 0.11% annually. The average annual increase of the building evenness index was 36.43. The renewal area occupied up to 75.38% of the total area. The change of the skyline was more consistent with the east–west direction. The change in the south direction was significant, while in the north direction it was relatively slow. The overall shape of the city was that of a weak pyramid, with the angle of the top of the pyramid gradually becoming larger. The methods proposed in this paper laid a foundation for a wide range of study of 3D urban morphology changes.

Suggested Citation

  • Yanyan Xu & Miao Liu & Yuanman Hu & Chunlin Li & Zaiping Xiong, 2019. "Analysis of Three-Dimensional Space Expansion Characteristics in Old Industrial Area Renewal Using GIS and Barista: A Case Study of Tiexi District, Shenyang, China," Sustainability, MDPI, vol. 11(7), pages 1-22, March.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:7:p:1860-:d:217806
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    References listed on IDEAS

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    2. Naai-Jung Shih & Wen-Tse Hsu & Pei-Huang Diao, 2019. "Point Cloud-Oriented Inspection of Old Street’s Sustainable Transformation from the Ceramic Industry to Cultural Tourism: A Case Study of Yingge, a Ceramic Town in Taiwan," Sustainability, MDPI, vol. 11(17), pages 1-25, August.
    3. Jing Guo & Tomer Fishman & Yao Wang & Alessio Miatto & Wendy Wuyts & Licheng Zheng & Heming Wang & Hiroki Tanikawa, 2021. "Urban development and sustainability challenges chronicled by a century of construction material flows and stocks in Tiexi, China," Journal of Industrial Ecology, Yale University, vol. 25(1), pages 162-175, February.
    4. Wenbo Chen & Fuqing Zhang & Saiwei Luo & Taojie Lu & Jiao Zheng & Lei He, 2022. "Three-Dimensional Landscape Pattern Characteristics of Land Function Zones and Their Influence on PM 2.5 Based on LUR Model in the Central Urban Area of Nanchang City, China," IJERPH, MDPI, vol. 19(18), pages 1-18, September.
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    6. Lin, Jinyao & Lu, Siyan & He, Xiaoyu & Wang, Fang, 2021. "Analyzing the impact of three-dimensional building structure on CO2 emissions based on random forest regression," Energy, Elsevier, vol. 236(C).

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