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Quantitative Analysis of the Determinants Influencing Urban Expansion: A Case Study in Beijing, China

Author

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  • Qiurong Xu

    (School of Information Engineering, China University of Geosciences, Beijing 100083, China)

  • Xinqi Zheng

    (School of Information Engineering, China University of Geosciences, Beijing 100083, China)

  • Chunxiao Zhang

    (School of Information Engineering, China University of Geosciences, Beijing 100083, China)

Abstract

A quantitative analysis of spatial influencing factors on urban sprawl can offer better support for urban planning and management. There are many concerns regarding the influence of each factor. However, a quantitative analysis to detect the interactions between factors is limited because of the complexity of the urban systems, especially the role of planning. Additionally, spatial heterogeneity is often overlooked. This study aims to improve and strengthen the knowledge in this field through a spatial statistical method known as GeoDetector. A new spatial quantification of urban expansion was presented in this study and the spatio-temporal characteristics and mechanism of urban growth in Beijing from 2010 to 2015 were also analyzed. The results show that urban expansion presents spatial heterogeneity with different grid cells, and the optimal scale was 4500 m. At this scale, urban expansion in Beijing linearly expands along the traffic trunk. In addition, urban expansion in Beijing is jointly influenced by socioeconomic, geographical, and policy factors. Population density has had the greatest influence on urban expansion from 2010 to 2015, and policy factors rank first. The impact of economic factors on urban growth is gradually weakening. It is important for urban geographical research to further plans and guide urban development.

Suggested Citation

  • Qiurong Xu & Xinqi Zheng & Chunxiao Zhang, 2018. "Quantitative Analysis of the Determinants Influencing Urban Expansion: A Case Study in Beijing, China," Sustainability, MDPI, vol. 10(5), pages 1-16, May.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:5:p:1630-:d:147798
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    as
    1. A S Fotheringham & D W S Wong, 1991. "The Modifiable Areal Unit Problem in Multivariate Statistical Analysis," Environment and Planning A, , vol. 23(7), pages 1025-1044, July.
    2. S Openshaw, 1984. "Ecological Fallacies and the Analysis of Areal Census Data," Environment and Planning A, , vol. 16(1), pages 17-31, January.
    3. Zhihui Li & Xiangzheng Deng & Feng Wu & Shaikh Shamim Hasan, 2015. "Scenario Analysis for Water Resources in Response to Land Use Change in the Middle and Upper Reaches of the Heihe River Basin," Sustainability, MDPI, vol. 7(3), pages 1-23, March.
    4. Juntao Tan & Pingyu Zhang & Kevin Lo & Jing Li & Shiwei Liu, 2016. "The Urban Transition Performance of Resource-Based Cities in Northeast China," Sustainability, MDPI, vol. 8(10), pages 1-17, October.
    5. Zhang, Na & Jing, Yong-Cai & Liu, Cheng-Yu & Li, Yao & Shen, Jing, 2016. "A cellular automaton model for grasshopper population dynamics in Inner Mongolia steppe habitats," Ecological Modelling, Elsevier, vol. 329(C), pages 5-17.
    6. Rina Wu & Jiquan Zhang & Yuhai Bao & Feng Zhang, 2016. "Geographical Detector Model for Influencing Factors of Industrial Sector Carbon Dioxide Emissions in Inner Mongolia, China," Sustainability, MDPI, vol. 8(2), pages 1-12, February.
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    8. Zhaoyu Liu & Yushuang Wang & Chunxiao Zhang & Dongya Liu, 2023. "Quantitative Analysis of Spatial Heterogeneity and Driving Forces of the Urban Spatial Structure’s Development Level Based on Multi-Source Big Data: A Case Study of Beijing, China," Land, MDPI, vol. 12(6), pages 1-20, June.
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    10. Mawuli Asempah & Wahib Sahwan & Brigitta Schütt, 2021. "Assessment of Land Cover Dynamics and Drivers of Urban Expansion Using Geospatial and Logistic Regression Approach in Wa Municipality, Ghana," Land, MDPI, vol. 10(11), pages 1-19, November.
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    12. Zhanzhong Tang & Zengxiang Zhang & Lijun Zuo & Xiao Wang & Shunguang Hu & Zijuan Zhu, 2020. "Spatial Econometric Analysis of the Relationship between Urban Land and Regional Economic Development in the Beijing–Tianjin–Hebei Coordinated Development Region," Sustainability, MDPI, vol. 12(20), pages 1-21, October.
    13. Feng, Rundong & Wang, Kaiyong, 2021. "Spatiotemporal effects of administrative division adjustment on urban expansion in China," Land Use Policy, Elsevier, vol. 101(C).
    14. Dadashpoor, Hashem & Ahani, Somayeh, 2021. "Explaining objective forces, driving forces, and causal mechanisms affecting the formation and expansion of the peri-urban areas: A critical realism approach," Land Use Policy, Elsevier, vol. 102(C).
    15. Ning Wang & Zhigang Chen & Tianshu Li & Mengjia Zhen, 2022. "Spatiotemporal Pattern Evolution and Influence Mechanism of Urban Vertical Expansion: A Case Study of Jiangsu Province, China," Land, MDPI, vol. 11(3), pages 1-16, March.
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    17. Shijie Li & Chunshan Zhou & Shaojian Wang & Shuang Gao & Zhitao Liu, 2019. "Spatial Heterogeneity in the Determinants of Urban Form: An Analysis of Chinese Cities with a GWR Approach," Sustainability, MDPI, vol. 11(2), pages 1-16, January.

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