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Research on the Slope Gradient Effect and Driving Factors of Construction Land in Urban Agglomerations in the Upper Yellow River: A Case Study of the Lanzhou–Xining Urban Agglomerations

Author

Listed:
  • Hanxuan Zhang

    (School of Civil Engineering, Qinghai University, Xining 810016, China)

  • Xiangjuan Zhao

    (School of Civil Engineering, Qinghai University, Xining 810016, China)

  • Jun Ren

    (School of Civil Engineering, Qinghai University, Xining 810016, China
    Graduate School of Qinghai University, Qinghai University, Xining 810016, China)

  • Wenjing Hai

    (School of Civil Engineering, Qinghai University, Xining 810016, China)

  • Jing Guo

    (Research Department of Ecological Civilization, Qinghai Academy of Social Sciences, Xining 810000, China)

  • Chengying Li

    (School of Civil Engineering, Qinghai University, Xining 810016, China)

  • Yapei Gao

    (School of Civil Engineering, Qinghai University, Xining 810016, China)

Abstract

Analyses of the scale and structural characteristics of construction land serve as the basis for optimizing the spatial pattern of territorial planning. Existing studies have focused mainly on the horizontal expansion of urban construction land. Therefore, based on the Google Earth Engine (GEE) platform, in this paper, we use high-precision land-use cover data, DEM data and socioeconomic data to construct the standard dominant comparative advantage index (NRCA) using the geological mapping analysis method and we systematically analyze the horizontal scale, slope spectrum characteristics, gradient effects and driving factors of construction land in the Lanzhou–Xining urban agglomeration (LXUA) from 1990 to 2020 at four scales: the urban agglomeration, provincial area, typical city and county (district) scales. The results of the study show that urban construction land, rural settlement land and other construction land in the LXUA show “linear”, inverted-“U” and “J” growth patterns, respectively. Three types of construction land show different spatial transfer characteristics. The scale and extent of climbing of urban construction land in the LXUA is gradually decreasing over time, and the number of climbing rural settlement lands in 2000–2010 was as high as 34 counties (districts), while the number of counties (districts) with strong climbing degrees of other construction land rose to 12 from 2010 to 2020. The relative hotspots of the slope-climbing phenomenon of the three types of construction land have gradually expanded spatially, with Lanzhou city and Xining city as the center, and the overall spatial characteristics are “more in the east and less in the west”. The population and GDP are the main factors influencing the slope-climbing phenomenon of urban construction land, while rural settlements are influenced mainly by natural conditions, and accessibility is the key factor affecting other construction land.

Suggested Citation

  • Hanxuan Zhang & Xiangjuan Zhao & Jun Ren & Wenjing Hai & Jing Guo & Chengying Li & Yapei Gao, 2023. "Research on the Slope Gradient Effect and Driving Factors of Construction Land in Urban Agglomerations in the Upper Yellow River: A Case Study of the Lanzhou–Xining Urban Agglomerations," Land, MDPI, vol. 12(4), pages 1-31, March.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:4:p:745-:d:1107680
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    References listed on IDEAS

    as
    1. Run Yu & Junning Cai & PingSun Leung, 2009. "The normalized revealed comparative advantage index," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(1), pages 267-282, March.
    2. Jun Ren & Wei Zhou & Xuelu Liu & Liang Zhou & Jing Guo & Yonghao Wang & Yanjun Guan & Jingtian Mao & Yuhan Huang & Rongrong Ma, 2019. "Urban Expansion and Growth Boundaries in an Oasis City in an Arid Region: A Case Study of Jiayuguan City, China," Sustainability, MDPI, vol. 12(1), pages 1-21, December.
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    Cited by:

    1. Yinbing Zhao & Zhongyun Ni & Yang Zhang & Peng Wan & Chuntao Geng & Wenhuan Yu & Yongjun Li & Zhenrui Long, 2024. "Exploring the Spatiotemporal Evolution Patterns and Determinants of Construction Land in Mianning County on the Eastern Edge of the Qinghai–Tibet Plateau," Land, MDPI, vol. 13(7), pages 1-33, July.
    2. Qiang Li & Xueyi Shi & Zhongqiu Zhao & Qingqing Wu, 2024. "Multi-Scenario Simulation of Ecosystems Based on Adaptive Restoration to Promote Human–Nature Harmony: A Case Study of Loess Hills Micro-Watershed," Land, MDPI, vol. 13(2), pages 1-20, February.

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