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Study on the Spatial Pattern Characteristics and Influencing Factors of Inefficient Urban Land Use in the Yellow River Basin

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  • Guoqing Cui

    (Northwest Land and Resource Research Center, Shaanxi Normal University, Xi’an 710119, China
    The First Topographic Surveying Brigade of Ministry of Natural Resource of P.R.C., Xi’an 710054, China)

  • Wenlong Zheng

    (School of Economics and Management, Chang’an University, No. 161, Chang’an Road, Xi’an 710061, China)

  • Siliang Chen

    (School of Architecture, Chang’an University, No. 161, Chang’an Road, Xi’an 710061, China)

  • Yue Dong

    (School of Architecture, Chang’an University, No. 161, Chang’an Road, Xi’an 710061, China)

  • Tingyu Huang

    (School of Architecture, Chang’an University, No. 161, Chang’an Road, Xi’an 710061, China)

Abstract

In order to realize the optimization of urban spatial patterns in the Yellow River Basin, a study on the inefficient use of urban land in the Yellow River Basin was carried out. In this study, Dali County and Hancheng County in Weinan City are selected as the research areas. Firstly, the analytic hierarchy process is used to build a comprehensive evaluation system for the identification of inefficient land in stock; secondly, the standard deviation ellipse method and spatial kernel density estimation method are used to quantitatively analyze the spatial distribution characteristics of inefficient land. Thirdly, the contribution model is used to analyze the influencing factors of inefficient land use. Finally, corresponding redevelopment suggestions are given for each type of inefficient land. The results show that Dali had the smallest area of inefficient land; second is Xincheng Street in Hancheng City; and Longmen Town, Hancheng City has the largest area. The distribution of inefficient land in Dali and Longmen Town in Hancheng City is relatively balanced, while the distribution of all kinds of inefficient land in Xincheng Street in Hancheng City is not concentrated. The density of the road network is the most important contributing factor to inefficient land use in the study area. This paper comprehensively uses the methods of economics and geography to study inefficient land use, quantifies the spatial-temporal characteristics and influencing factors of land use units, explores the spatial patterns of land use and enriches the research into relevant theories.

Suggested Citation

  • Guoqing Cui & Wenlong Zheng & Siliang Chen & Yue Dong & Tingyu Huang, 2022. "Study on the Spatial Pattern Characteristics and Influencing Factors of Inefficient Urban Land Use in the Yellow River Basin," Land, MDPI, vol. 11(9), pages 1-24, September.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:9:p:1562-:d:915030
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    References listed on IDEAS

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    1. Xinhai Lu & Mengcheng Wang & Yifeng Tang, 2021. "The Spatial Changes of Transportation Infrastructure and Its Threshold Effects on Urban Land Use Efficiency: Evidence from China," Land, MDPI, vol. 10(4), pages 1-15, March.
    2. Kun Zhou & Xinyi Wang & Zhihan Wang & Yecui Hu, 2022. "Systematicity and Stability Analysis of Land Use Change—Taking Jinan, China, as an Example," Land, MDPI, vol. 11(7), pages 1-18, July.
    3. Bo Niu & Dazhuan Ge & Rui Yan & Yingyi Ma & Dongqi Sun & Mengqiu Lu & Yuqi Lu, 2021. "The Evolution of the Interactive Relationship between Urbanization and Land-Use Transition: A Case Study of the Yangtze River Delta," Land, MDPI, vol. 10(8), pages 1-21, July.
    4. Yang Bai & Wei Zhou & Yanjun Guan & Xue Li & Baohua Huang & Fengchun Lei & Hong Yang & Wenmin Huo, 2020. "Evolution of Policy Concerning the Readjustment of Inefficient Urban Land Use in China Based on a Content Analysis Method," Sustainability, MDPI, vol. 12(3), pages 1-21, January.
    5. Jinming Yan & Yue Shen & Fangzhou Xia, 2017. "Differentiated Optimization of Sustainable Land Use in Metropolitan Areas: A Demarcation of Functional Units for Land Consolidation," Sustainability, MDPI, vol. 9(8), pages 1-19, August.
    6. Yingkai Tang & Kun Wang & Xuanming Ji & He Xu & Yangqing Xiao, 2021. "Assessment and Spatial-Temporal Evolution Analysis of Urban Land Use Efficiency under Green Development Orientation: Case of the Yangtze River Delta Urban Agglomerations," Land, MDPI, vol. 10(7), pages 1-19, July.
    7. Guoqiang Qiu & Yinghong Wang & Shanshan Guo & Qian Niu & Lin Qin & Di Zhu & Yunlong Gong, 2022. "Assessment and Spatial-Temporal Evolution Analysis of Land Use Conflict within Urban Spatial Zoning: Case of the Su-Xi-Chang Region," Sustainability, MDPI, vol. 14(4), pages 1-18, February.
    8. Yayuan Pang & Xinjun Wang, 2020. "Land-Use Efficiency in Shandong (China): Empirical Analysis Based on a Super-SBM Model," Sustainability, MDPI, vol. 12(24), pages 1-20, December.
    9. Aiping Wang & Weifen Lin & Bei Liu & Hui Wang & Hong Xu, 2021. "Does Smart City Construction Improve the Green Utilization Efficiency of Urban Land?," Land, MDPI, vol. 10(6), pages 1-18, June.
    10. Xiao Lu & Yi Qu & Piling Sun & Wei Yu & Wenlong Peng, 2020. "Green Transition of Cultivated Land Use in the Yellow River Basin: A Perspective of Green Utilization Efficiency Evaluation," Land, MDPI, vol. 9(12), pages 1-22, November.
    11. Xiangdong Wang & Xiaoqiang Shen & Tao Pei, 2020. "Efficiency Loss and Intensification Potential of Urban Industrial Land Use in Three Major Urban Agglomerations in China," Sustainability, MDPI, vol. 12(4), pages 1-22, February.
    12. Hui Li & Kunqiu Chen & Lei Yan & Yulin Zhu & Liuwen Liao & Yangle Chen, 2021. "Urban Land Use Transitions and the Economic Spatial Spillovers of Central Cities in China’s Urban Agglomerations," Land, MDPI, vol. 10(6), pages 1-27, June.
    13. Xinhai Lu & Yifeng Tang & Shangan Ke, 2021. "Does the Construction and Operation of High-Speed Rail Improve Urban Land Use Efficiency? Evidence from China," Land, MDPI, vol. 10(3), pages 1-15, March.
    14. Beata Stelmach-Fita, 2021. "European Land Use Spatial Data Sources and Their Role in Integrated Planning: Opportunities and Challenges for Poland," Land, MDPI, vol. 10(11), pages 1-30, October.
    15. Yunfei Peng & Jing Qian & Fu Ren & Wenhui Zhang & Qingyun Du, 2016. "Sustainability of Land Use Promoted by Construction-to-Ecological Land Conversion: A Case Study of Shenzhen City, China," Sustainability, MDPI, vol. 8(7), pages 1-16, July.
    16. Peichao Dai & Ruxu Sheng & Zhongzhen Miao & Zanxu Chen & Yuan Zhou, 2021. "Analysis of Spatial–Temporal Characteristics of Industrial Land Supply Scale in Relation to Industrial Structure in China," Land, MDPI, vol. 10(11), pages 1-18, November.
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    Cited by:

    1. Xin Wang & Xiwen Bao & Ziao Ge & Jiayao Xi & Yinghui Zhao, 2024. "Identification and Redevelopment of Inefficient Residential Landuse in Urban Areas: A Case Study of Ring Expressway Area in Harbin City of China," Land, MDPI, vol. 13(8), pages 1-24, August.
    2. Rui Jin & Chunyuan Huang & Pei Wang & Junyong Ma & Yiliang Wan, 2023. "Identification of Inefficient Urban Land for Urban Regeneration Considering Land Use Differentiation," Land, MDPI, vol. 12(10), pages 1-24, October.

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