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Effect of Complex Road Networks on Intensive Land Use in China’s Beijing-Tianjin-Hebei Urban Agglomeration

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Listed:
  • Chen Zeng

    (Department of Land Management, Huazhong Agricultural University, Wuhan 430070, China
    Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Zhe Zhao

    (Department of Public Management, Remin University of China, Beijing 100872, China)

  • Cheng Wen

    (School of Geography, University of Leeds, Leeds LS2 9JT, UK
    Research Institute of Environmental Law, Wuhan University, Wuhan 430072, China)

  • Jing Yang

    (Department of Land Management, Huazhong Agricultural University, Wuhan 430070, China)

  • Tianyu Lv

    (Department of Land Management, Huazhong Agricultural University, Wuhan 430070, China)

Abstract

Coupled with rapid urbanization and urban expansion, the spatial relationship between transportation development and land use has gained growing interest among researchers and policy makers. In this paper, a complex network model and land use intensity assessment were integrated into a spatial econometric model to explore the spatial spillover effect of the road network on intensive land use patterns in China’s Beijing–Tianjin–Hebei (BTH) urban agglomeration. First, population density, point of interest (POI) density, and aggregation index were selected to measure land use intensity from social, physical, and ecological aspects. Then, the indicator of average degree (i.e., connections between counties) was used to measure the characteristics of the road network. Under the hypothesis that the road network functions in shaping land use patterns, a spatial econometric model with the road network embedded spatial weight matrix was established. Our results revealed that, while the land use intensity in the BTH urban agglomeration increased from 2010 to 2015, the road network became increasingly complex with greater spatial heterogeneity. The spatial lag coefficients of land use intensity were positively significant in both years and showed a declining trend. The spatially lagged effects of sector structure, fixed asset investment, and consumption were also significant in most of our spatial econometric models, and their contributions to the total spillover effect increased from 2010 to 2015. This study contributes to the literature by providing an innovative quantitative method to analyze the spatial spillover effect of the road network on intensive land use. We suggest that the spatial spillover effect of the road network could be strengthened in the urban–rural interface areas by improving accessibility and promoting population, resource, and technology flows.

Suggested Citation

  • Chen Zeng & Zhe Zhao & Cheng Wen & Jing Yang & Tianyu Lv, 2020. "Effect of Complex Road Networks on Intensive Land Use in China’s Beijing-Tianjin-Hebei Urban Agglomeration," Land, MDPI, vol. 9(12), pages 1-19, December.
  • Handle: RePEc:gam:jlands:v:9:y:2020:i:12:p:532-:d:464816
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    References listed on IDEAS

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    1. Yang, Yuanyuan & Liu, Yansui & Li, Yurui & Li, Jintao, 2018. "Measure of urban-rural transformation in Beijing-Tianjin-Hebei region in the new millennium: Population-land-industry perspective," Land Use Policy, Elsevier, vol. 79(C), pages 595-608.
    2. Derrible, Sybil & Kennedy, Christopher, 2010. "The complexity and robustness of metro networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(17), pages 3678-3691.
    3. Xie, Zhen & Zhang, Fengrong & Lun, Fei & Gao, Yang & Ao, Jia & Zhou, Jian, 2020. "Research on a diagnostic system of rural vitalization based on development elements in China," Land Use Policy, Elsevier, vol. 92(C).
    4. Wang, Rong & Zameer, Hashim & Feng, Yue & Jiao, Zhilun & Xu, Li & Gedikli, Ayfer, 2019. "Revisiting Chinese resource curse hypothesis based on spatial spillover effect: A fresh evidence," Resources Policy, Elsevier, vol. 64(C).
    5. Yu, Nannan & de Jong, Martin & Storm, Servaas & Mi, Jianing, 2013. "Spatial spillover effects of transport infrastructure: evidence from Chinese regions," Journal of Transport Geography, Elsevier, vol. 28(C), pages 56-66.
    6. Wen-Long Shang & Yanyan Chen & Chengcheng Song & Washington Y. Ochieng, 2020. "Robustness Analysis of Urban Road Networks from Topological and Operational Perspectives," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-12, August.
    7. Shahtahmassebi, Amir Reza & Wu, Chun & Blackburn, George Alan & Zheng, Qing & Huang, Lingyan & Shortridge, Ashton & Shahtahmassebi, Golnaz & Jiang, Ruowei & He, Shan & Wang, Ke & Lin, Yue & Clarke, Ke, 2018. "How do modern transportation projects impact on development of impervious surfaces via new urban area and urban intensification? Evidence from Hangzhou Bay Bridge, China," Land Use Policy, Elsevier, vol. 77(C), pages 479-497.
    8. Shen, Xiaoqiang & Wang, Xiangdong & Zhang, Zhou & Lu, Zhangwei & Lv, Tiangui, 2019. "Evaluating the effectiveness of land use plans in containing urban expansion: An integrated view," Land Use Policy, Elsevier, vol. 80(C), pages 205-213.
    9. Thanh Bao Nguyen & Erwin van der Krabben & Clément Musil & Duc Anh Le, 2018. "‘Land for infrastructure’ in Ho Chi Minh City: land-based financing of transportation improvement," International Planning Studies, Taylor & Francis Journals, vol. 23(3), pages 310-326, July.
    10. Ni, Linglin & Wang, Xiaokun (Cara) & Zhang, Dapeng, 2016. "Impacts of information technology and urbanization on less-than-truckload freight flows in China: An analysis considering spatial effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 12-25.
    11. Zhao, Jingjing & Wang, Mengyang, 2018. "A novel assessment of urbanization quality and its applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 141-154.
    12. Erb, Karl-Heinz & Haberl, Helmut & Jepsen, Martin Rudbeck & Kuemmerle, Tobias & Lindner, Marcus & Müller, Daniel & Verburg, Peter H & Reenberg, Anette, 2013. "A conceptual framework for analysing and measuring land-use intensity," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 5(5), pages 464-470.
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