IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v10y2021i11p1167-d669365.html
   My bibliography  Save this article

The Expansion Dynamics and Modes of Impervious Surfaces in the Guangdong-Hong Kong-Macau Bay Area, China

Author

Listed:
  • Shaohua Zhang

    (The Engineering Research Centre of GIS Technology in Western China, Ministry of Education, Yunnan Normal University, Kunming 650500, China)

  • Kun Yang

    (The Engineering Research Centre of GIS Technology in Western China, Ministry of Education, Yunnan Normal University, Kunming 650500, China
    Faculty of Geography, Yunnan Normal University, Kunming 650500, China)

  • Yuling Ma

    (School of Earth Science and Engineering, West Yunnan University of Applied Sciences, Dali 671000, China)

  • Mingchan Li

    (The Engineering Research Centre of GIS Technology in Western China, Ministry of Education, Yunnan Normal University, Kunming 650500, China
    Faculty of Geography, Yunnan Normal University, Kunming 650500, China)

Abstract

Different urban growth patterns have various impact degrees on the urban ecosystem and environment. Impervious surface, a typical artificial construction can be used to reflect urban development. Therefore, this study estimated the spatiotemporal dynamics and expansion patterns of impervious surface area (ISA) in the Guangdong-Hong Kong-Macau (GHM) Bay Area since the establishment of the “Pearl River Delta economic zone” in 1994. Landsat time-series images were used to map the distribution of the ISA based on the combinational biophysical composition index (CBCI) and the bidirectional temporal filtering method (BTFM). The results indicated that the ISA in the GHM Bay Area drastically expanded from 569.23 km 2 in 1994 to 10,200.53 km 2 in 2016. In addition, the aggregation index (AI) value of the high-density area showed a decreasing trend from 1994 to 2004. However, the value of each landscape metric rapidly increased after 2004. Moreover, the mean ratio of the major axis to the minor axis of standard deviational ellipses from 1994 to 2004 was higher than that from 2005 to 2016. The results of landscape metrics and standard deviational ellipses indicated that the ISA growth pattern changed from edge expanding and leapfrogging to infilling and consolidation, with a turning point in 2004. Moreover, the principal sprawl orientation of the ISA was northwest to southeast before 2004. After 2004, the expansion direction of the ISA was less obvious due to the development pattern of infilling and consolidation. The rapid increase of GDP and population are the driving forces of urban expansion. However, topography and ecological protection policies as the limiting factors, which caused the infilling of the inner city and redevelopment of old urban areas.

Suggested Citation

  • Shaohua Zhang & Kun Yang & Yuling Ma & Mingchan Li, 2021. "The Expansion Dynamics and Modes of Impervious Surfaces in the Guangdong-Hong Kong-Macau Bay Area, China," Land, MDPI, vol. 10(11), pages 1-16, October.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:11:p:1167-:d:669365
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/10/11/1167/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/10/11/1167/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gong, Jianzhou & Hu, Zhiren & Chen, Wenli & Liu, Yansui & Wang, Jieyong, 2018. "Urban expansion dynamics and modes in metropolitan Guangzhou, China," Land Use Policy, Elsevier, vol. 72(C), pages 100-109.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sishi Wang & Xin Tan & Fenglei Fan, 2023. "Changes in Impervious Surfaces in Lhasa City, a Historical City on the Qinghai–Tibet Plateau," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    2. Yimin Li & Xue Yang & Bowen Wu & Juanzhen Zhao & Xuanlun Deng, 2023. "Impervious Surface Mapping Based on Remote Sensing and an Optimized Coupled Model: The Dianchi Basin as an Example," Land, MDPI, vol. 12(6), pages 1-26, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Yuanyuan & Bao, Wenkai & Liu, Yansui, 2020. "Scenario simulation of land system change in the Beijing-Tianjin-Hebei region," Land Use Policy, Elsevier, vol. 96(C).
    2. Chen, Yuangong & Chen, Wenli & Gong, Jianzhou & Yuan, Haiwei, 2023. "Uncommonly known change characteristics of land use pattern in Guangdong Province–Hong Kong–Macao, China: Space time pattern, terrain gradient effects and policy implication," Land Use Policy, Elsevier, vol. 125(C).
    3. Liqin Zhang & Ruibo Han & Huhua Cao, 2021. "Understanding Urban Land Growth through a Social-Spatial Perspective," Land, MDPI, vol. 10(4), pages 1-23, March.
    4. Yasi Tian & Junyi Chen, 2022. "Suburban sprawl measurement and landscape analysis of cropland and ecological land: A case study of Jiangsu Province, China," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1282-1305, September.
    5. Zhigao Liu & Jiayi Zhang & Oleg Golubchikov, 2019. "Edge-Urbanization: Land Policy, Development Zones, and Urban Expansion in Tianjin," Sustainability, MDPI, vol. 11(9), pages 1-16, May.
    6. Bao Meng & Xuxi Wang & Zhifeng Zhang & Pei Huang, 2022. "Spatio-Temporal Pattern and Driving Force Evolution of Cultivated Land Occupied by Urban Expansion in the Chengdu Metropolitan Area," Land, MDPI, vol. 11(9), pages 1-17, September.
    7. Kaihuai Liao & Wenyan Huang & Changjian Wang & Rong Wu & Yang Hu, 2022. "Spatio-Temporal Evolution Features and Impact Factors of Urban Expansion in Underdeveloped Cities: A Case Study of Nanchang, China," Land, MDPI, vol. 11(10), pages 1-24, October.
    8. Hassan Mahmoudzadeh & Asghar Abedini & Farshid Aram, 2022. "Urban Growth Modeling and Land-Use/Land-Cover Change Analysis in a Metropolitan Area (Case Study: Tabriz)," Land, MDPI, vol. 11(12), pages 1-17, November.
    9. Zhou, Yang & Li, Xunhuan & Liu, Yansui, 2020. "Land use change and driving factors in rural China during the period 1995-2015," Land Use Policy, Elsevier, vol. 99(C).
    10. Zhou, Yang & Zhong, Zhen & Cheng, Guoqiang, 2023. "Cultivated land loss and construction land expansion in China: Evidence from national land surveys in 1996, 2009 and 2019," Land Use Policy, Elsevier, vol. 125(C).
    11. Rahmat Aris Pratomo & D. Ary A. Samsura & Erwin van der Krabben, 2020. "Transformation of Local People’s Property Rights Induced by New Town Development (Case Studies in Peri-Urban Areas in Indonesia)," Land, MDPI, vol. 9(7), pages 1-24, July.
    12. Huan Lu & Ruiyang Wang & Rong Ye & Jinzhao Fan, 2023. "Monitoring Long-Term Spatiotemporal Dynamics of Urban Expansion Using Multisource Remote Sensing Images and Historical Maps: A Case Study of Hangzhou, China," Land, MDPI, vol. 12(1), pages 1-23, January.
    13. Liu, Guilin & Li, Jingyun & Nie, Peng, 2022. "Tracking the history of urban expansion in Guangzhou (China) during 1665–2017: Evidence from historical maps and remote sensing images," Land Use Policy, Elsevier, vol. 112(C).
    14. Yuantong Jiang & Shoukai Sun & Shuanning Zheng, 2019. "Exploring Urban Expansion and Socioeconomic Vitality Using NPP-VIIRS Data in Xia-Zhang-Quan, China," Sustainability, MDPI, vol. 11(6), pages 1-21, March.
    15. Zhongwu Zhang & Yuanfang Liu, 2022. "Spatial Expansion and Correlation of Urban Agglomeration in the Yellow River Basin Based on Multi-Source Nighttime Light Data," Sustainability, MDPI, vol. 14(15), pages 1-16, July.
    16. Dong-jin Lee & Seong Woo Jeon, 2020. "Estimating Changes in Habitat Quality through Land-Use Predictions: Case Study of Roe Deer ( Capreolus pygargus tianschanicus ) in Jeju Island," Sustainability, MDPI, vol. 12(23), pages 1-18, December.
    17. Shuqing Wang & Xinqi Zheng, 2023. "Dominant transition probability: combining CA-Markov model to simulate land use change," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6829-6847, July.
    18. Xu, Gang & Zhou, Zhengzi & Jiao, Limin & Zhao, Rui, 2020. "Compact Urban Form and Expansion Pattern Slow Down the Decline in Urban Densities: A Global Perspective," Land Use Policy, Elsevier, vol. 94(C).
    19. Qu, Shijin & Hu, Shougeng & Li, Weidong & Wang, Hui & Zhang, Chuanrong & Li, Quanfeng, 2020. "Interaction between urban land expansion and land use policy: An analysis using the DPSIR framework," Land Use Policy, Elsevier, vol. 99(C).
    20. Zhou, Yang & Li, Yamei & Xu, Chenchen, 2020. "Land consolidation and rural revitalization in China: Mechanisms and paths," Land Use Policy, Elsevier, vol. 91(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:10:y:2021:i:11:p:1167-:d:669365. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.