Spatio-temporal Evolution of Land Use in Guangdong-Hong Kong-Macao Greater Bay Economic Area, 1985-2022 and Analysis of Influencing Factors

Authors

  • Keding Sheng
  • Xingshuai Mei
  • Xitong Yang

DOI:

https://doi.org/10.54097/g7xpqm70

Keywords:

Guangdong-Hong Kong-Macao Greater Bay Economic Area, Land Use Change, Spatially Coupled Feature Model, Land Use Dynamic Degree.

Abstract

This research employs GIS and remote sensing technology, along with time-series Land cover data, to examine the evolving patterns of various land use categories (such as forest land, cultivated land, and impervious surfaces) within the Guangdong-Hong Kong-Macao Greater Bay Area. The results indicate that the predominant spatial configuration of land use in this region follows a sequence of "forest land-cultivated land-impervious land." Notably, the key transformation observed involves the conversion of cultivated land to impervious surfaces, resulting in a cumulative expansion of impervious areas by 3,346,985 hectares between 1985 and 2022. Moreover, the level of spatial integration among land use types in the Greater Bay Area is progressively standardizing, with notable advancements in scientific, technological, economic, and transportation sectors leading to a high degree of synergy. The system as a whole demonstrates effective coordination and operational efficiency. The methodology section outlines the data sources and analytical techniques employed, encompassing the utilization of the land use transfer matrix, individual land use degree assessment, and spatial coupling function model. Through these methodologies, the study identifies urban economic development as the primary driver behind the proliferation of impervious surfaces, offering valuable insights to inform regional development strategies and environmental governance policies.

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References

[1] Wu L, Zhou Z F, Zhang L, et al. Response of landscape pattern change to habitat quality in karst area [J]. Environmental Science & Technology, 2023, 46(9): 206-217.

[2] Zhang S L. The construction of Guangdong-Hong kong-Macao Greater Bay Area: Theoretical asis, current problems and enlightenment from international Experience [J]. Journal of Lanzhou University of Finance and Economics, 2018, 34(5): 12-21.

[3] Luo Z Q, Zhang H B. Necessity and feasibility of tax co-operation among Guangdong Province, Hong Kong and Macao [J]. Foreign Taxation, 2012, (12): 64-67

[4] Zhiyong Chen, Yaowei Wu, Gangte Lin, Jianzhou Gong. Spatial Relationship between Ecological Environmental Quality and Land Use Change in the Guangdong-Hong Kong-Macao Region Based on Remote Sensing Ecological Index [J/OL] .Environmental Science, 1-21.2023-10-27

[5] Jie Zhang, Qingquan Li, Xiangyin Wu, Chenchen Zhang, Jingzhe Wang, Guofeng Wu. Analysis of the Evolution of Ecosystem Service Value and Carrying Capacity in the Guangdong-Hong Kong-Macao Greater Bay Area Based on Land Use. Acta Ecologica Sinica, 2021, 41(21): 8375-8386.

[6] YIN Nannan, TANG Jun, YANG Yuanwei, et al. Variations of shoreline and land use in Guangdong-Hong Kong-Macao Greater Bay Area from 1989 to 2021[J]. Marine Geology Frontiers, 2023, 39(5): 1-11. DOI: 10.16028/j.1009-2722.2022.158

[7] LIU Zhitao, WANG Shaojian, FANG Chuanglin. Spatiotemporal evolution and influencing mechanism of ecosystem service value in the Guangdong-Hong Kong-Macao Greater Bay Area. Acta Geographica Sinice, 2021, 76(11): 2797-2813 doi:10.11821/dlxb202111014

[8] Haojian DENG, Hengkai LI, Yongzhu XIONG, Chunyan ZHEN, Yingshuang LI. Temporal-spatial evolution of urban agglomeration in Guangdong-HongKong-Macao Greater Bay Area in recent 20 years[J]. World Regional Studies, 2020, 29(6): 1181-1189.

[9] Zhang, X., Zhao, T., Xu, H., Liu, W., Wang, J., Chen, X., and Liu, L.: GLC_FCS30D: the first global 30 m land-cover dynamics monitoring product with a fine classification system for the period from 1985 to 2022 generated using dense-time-series Landsat imagery and the continuous change-detection method, Earth Syst. Sci. Data, 16, 1353–1381, https://doi.org/10.5194/essd-16-1353-2024, 2024.

[10] Yongyong Song, Dongqian Xue, Lanhai Dai, et al. Land Use Change and Ecological Response in the Typical Fossil Energy Development Area in Shanxi, Shaanxi, and Inner Mongolia. Arid Zone Research, 2018, 35(5): 1199-1207.

[11] Yang Z W, Chen Y B, Wu Z F, et al. The coupling between construction land expansion and urban heat island expansion in Guangdong-Hong KongMacao Greater Bay [J]. Journal of Geo- information Science, 2018, 20(11): 1592-1603.

[12] Ding M M, Cao W D, Zhang D P, et al. Study on the measurement and coordination of road traffic and economic development in Anhui Province [J]Resources and Environment in the Yangtze Basin, 2018, 27(3): 503-513.

[13] Zhang Y, Cao W D, Liang S B, et al. A comparative study on the evolution process of urbanization and industrialization in the underdeveloped areas of western China: a case study of Qinghai Province [J]. Economic Geography, 2017, 37(2): 61-67.

[14] Zhou Jun, Ma Shipeng. SPSSAU Research Data Analysis Methods and Applications. 1st Edition [M]. Electronics Industry Press, 2024.

[15] Guangdong Yearbook Compilation Committee. Guangdong Statistical Yearbook 2010 (Electronic Edition) [M]. Beijing: China Statistics Press, 2010.

[16] Guangdong Yearbook Compilation Committee. Guangdong Statistical Yearbook 2005(Electronic Edition) [M]. Beijing: China Statistics Press, 2005.

[17] Guangdong Yearbook Compilation Committee. Guangdong Statistical Yearbook 2010 (Electronic Edition) [M]. Beijing: China Statistics Press, 2010.

[18] Guangdong Yearbook Compilation Committee. Guangdong Statistical Yearbook 2015(Electronic Edition) [M]. Beijing: China Statistics Press, 2015.

[19] Guangdong Yearbook Compilation Committee. Guangdong Statistical Yearbook 2020 (Electronic Edition) [M]. Beijing: China Statistics Press, 2020.

[20] Guangdong Yearbook Compilation Committee. Guangdong Statistical Yearbook 2021 (Electronic Edition) [M]. Beijing: China Statistics Press, 2021.

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Published

08-10-2024

How to Cite

Sheng, K., Mei, X., & Yang, X. (2024). Spatio-temporal Evolution of Land Use in Guangdong-Hong Kong-Macao Greater Bay Economic Area, 1985-2022 and Analysis of Influencing Factors. Highlights in Science, Engineering and Technology, 113, 143-152. https://doi.org/10.54097/g7xpqm70