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A novel assessment of urbanization quality and its applications

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  • Zhao, Jingjing
  • Wang, Mengyang

Abstract

By establishing a network with related indices in urban system as nodes, urbanization quality can be defined as the structural features of the network. According to maximum information entropy principle (MIEP), structural parameter ξ of the index network and its dynamic equation have been derived. The dynamic equation can be calculated by self-organizing feature map (SOFM) artificial neural network algorithm in MATLAB platform. In this way, a new index network model (INM) of urbanization quality assessment (UQA) is constructed. The new INM is applied to the UQA of 37 major cities in China. Values of ξ quantitatively give the rank of the cities, which show that Shenzhen, Beijing and Suzhou have the highest quality scores more than 10 both in 2010 and 2014, reflecting much higher urbanization quality than other cities. The following cities are Xiamen, Tianjin, Nanjing, Hangzhou etc., then Chengdu, Zhengzhou, Shenyang and Tangshan etc. The quality scores of Guiyang, Kunming and Chongqing etc. are the lowest. With Xi’an and Wenzhou as sample cities, the contributions of each index to the urbanization quality are simultaneously revealed. Based on the structural parameter ξ of each mesoscope indexes derived from the new INM, we use the analysis method of factor contribution rate to reveal the contributions of each index to the urbanization quality. By recognizing the key factors, which influence the urbanization quality, the new INM can guide us take targeted measures for the improvement of urbanization quality. Beyond the application cases given, we finally state that the new INM is very universal and advantageous, which can be conveniently applied to the UQA of many other cities.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:phsmap:v:508:y:2018:i:c:p:141-154
    DOI: 10.1016/j.physa.2018.05.077
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    References listed on IDEAS

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    1. Zhao, Jingjing & Chai, Lihe, 2015. "A novel approach for urbanization level evaluation based on information entropy principle: A case of Beijing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 430(C), pages 114-125.
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    5. Feng, Qing Yi & Chai, Li He, 2008. "A new statistical dynamic analysis on vegetation patterns in land ecosystems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(14), pages 3583-3593.
    6. Neil Brenner & Christian Schmid, 2014. "The ‘Urban Age’ in Question," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 38(3), pages 731-755, May.
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    1. Zou Ya-Feng & Deng Min & Li Ya-Jing & Rong Yao, 2020. "Evolution characteristics and policy implications of new urbanization in provincial capital cities in Western China," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-25, May.
    2. Xueru Zhang & Wei Song & Jingtao Wang & Bo Wen & Dazhi Yang & Shiliang Jiang & Yanbin Wu, 2020. "Analysis on Decoupling between Urbanization Level and Urbanization Quality in China," Sustainability, MDPI, vol. 12(17), pages 1-18, August.
    3. Wusheng Zhao & Peiji Shi & Ya Wan & Yan Yao, 2023. "Coupling and Coordination Relationship between Urbanization Quality and Ecosystem Services in the Upper Yellow River: A Case Study of the Lanzhou–Xining Urban Agglomeration, China," Land, MDPI, vol. 12(5), pages 1-20, May.
    4. Xue Xie & Bin Fang & Shasha He, 2022. "Is China’s Urbanization Quality and Ecosystem Health Developing Harmoniously? An Empirical Analysis from Jiangsu, China," Land, MDPI, vol. 11(4), pages 1-19, April.
    5. 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.

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