Analysis of Factors Affecting the Coordinated Development of Urbanization and the Ecological Resource Environment in Southwest China Based on Data Mining
Publication: Journal of Urban Planning and Development
Volume 147, Issue 3
Abstract
Urbanization and the ecological resource environment are mutually influential and interdependent, and their coordinated development is the key to the sustainable development of urbanization. Based on a coupling degree model, decision tree, and grey correlation model, the spatial and temporal evolution of the coupling and coordination relationship between urbanization and the ecological resource environment in Southwest China from 2000 to 2018 and its main influencing factors are studied in depth. The thresholds are extracted by the Classification and Regression Tree (CART) to avoid low-coupling coordination. The study finds that (1) the coupling coordination between urbanization and the ecological resource environment in this region shows stagewise development with regional differences. By 2018, except Xizang, all other provinces had entered a high coordination period. (2) The general trend is that urbanization development is on the rise, and the ecological resource environment is fluctuating. The influence of the ecological resource environment subsystem on coordinated development is greater than the influence of the urbanization subsystem. (3) The green coverage of built-up areas is the most important attribute affecting coordinated development. Urbanization still has room for development. The main issues that need to be addressed are population urbanization and social urbanization. Based on the research results, policy recommendations are made to provide a scientific basis for sustainable development and a reference for the formulation of regional new-type urbanization policies.
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Acknowledgments
This study was supported by the Geomathematics Key Laboratory of Sichuan Province (No. scsxdz2019yb06), the Geomathematics Key Laboratory of Sichuan Province (No. scsxdz2019zd02), Sichuan Mineral Resources Research Center (No. SCKCZY2019-ZD002), and Sichuan Mineral Resources Research Center (No. SCKCZY2019-ZC002).
References
Babbar, R., and S. Babbar. 2017. “Predicting river water quality index using data mining techniques.” Environ. Earth Sci. 76 (14): 504. https://doi.org/10.1007/s12665-017-6845-9.
Badreldin, N., A. A. Hatab, and C.-J. Lagerkvist. 2019. “Spatiotemporal dynamics of urbanization and cropland in the Nile Delta of Egypt using machine learning and satellite big data: Implications for sustainable development.” Environ. Monit. Assess. 191 (12): 767. https://doi.org/10.1007/s10661-019-7934-x.
Biao, Q., and F. Chuanglin. 2005. “The dynamic coupling model and its application of urbanization and eco-environment in Hexi Corridor.” J. Geog. Sci. 15 (4): 491–499. https://doi.org/10.1007/BF02892157.
Buyantuyev, A., and J. Wu. 2009. “Urbanization alters spatiotemporal patterns of ecosystem primary production: A case study of the Phoenix metropolitan region, USA.” J. Arid. Environ. 73 (4–5): 512–520. https://doi.org/10.1016/j.jaridenv.2008.12.015.
Chen, M., D. Lu, and L. Zha. 2010. “The comprehensive evaluation of China’s urbanization and effects on resources and environment.” J. Geog. Sci. 20 (1): 17–30. https://doi.org/10.1007/s11442-010-0017-0.
Chen, Y., P. Dou, and X. Yang. 2017. “Improving land use/cover classification with a multiple classifier system using AdaBoost integration technique.” Remote Sens. 9 (10): 1055. https://doi.org/10.3390/rs9101055.
Cui, X., C. Fang, H. Liu, and X. Liu. 2019. “Assessing sustainability of urbanization by a coordinated development index for an urbanization–resources–environment complex system: A case study of Jing-Jin-Ji region, China.” Ecol. Indic. 96: 383–391. https://doi.org/10.1016/j.ecolind.2018.09.009.
Darrel Jenerette, G., and D. Potere. 2010. “Global analysis and simulation of land-use change associated with urbanization.” Landscape Ecol. 25 (5): 657–670. https://doi.org/10.1007/s10980-010-9457-2.
Dong, S., J. Zheng, Y. Li, Z. Li, F. Li, L. Jin, Y. Yang, and A. Bilgaev. 2019. “Quantitative analysis of the coupling coordination degree between urbanization and eco-environment in Mongolia.” Chin. Geog. Sci. 29 (5): 861–871. https://doi.org/10.1007/s11769-019-1074-7.
Dong, W., Z. A. Jiang, D. Su, and J. Gao. 2010. “Delimitation of water conservation areas in the upper Yangtze River and analysis of influencing factors on eco-security.” J. Univ. Sci. Technol. Beijing 32 (2): 139–144.
Fan, Y., C. Fang, and Q. Zhang. 2019. “Coupling coordinated development between social economy and ecological environment in Chinese provincial capital cities-assessment and policy implications.” J. Cleaner Prod. 229: 289–298. https://doi.org/10.1016/j.jclepro.2019.05.027.
Fang, C., H. Liu, and G. Li. 2016. “International progress and evaluation on interactive coupling effects between urbanization and the eco-environment.” J. Geog. Sci. 26 (8): 1081–1116. https://doi.org/10.1007/s11442-016-1317-9.
Fang, C. L., and J. Wang. 2013. “A theoretical analysis of interactive coercing effects between urbanization and eco-environment.” Chin. Geog. Sci. 23 (2): 147–162. https://doi.org/10.1007/s11769-013-0602-2.
Guo, Z., H. Nei, R.-g. Zang, and Y.-j. Zhang. 2011. “Eco-benefit evaluation on natural forest protection project in Southwest China.” J. Inner Mongolia Agric. Univ. 32 (2): 65–72.
Haas, J., and Y. Ban. 2014. “Urban growth and environmental impacts in Jing-Jin-Ji, the Yangtze, River Delta and the Pearl River Delta.” Int. J. Appl. Earth Obs. Geoinf. 30: 42–55. https://doi.org/10.1016/j.jag.2013.12.012.
Han, B., H. Liu, and R. Wang. 2015. “Urban ecological security assessment for cities in the Beijing–Tianjin–Hebei metropolitan region based on fuzzy and entropy methods.” Ecol. Modell. 318: 217–225. https://doi.org/10.1016/j.ecolmodel.2014.12.015.
James, G., D. Witten, T. Hastie, and R. Tibshirani. 2014. An introduction to statistical learning: With applications in R. New York: Springer.
Landis, J. R., and G. G. Koch. 1977. “The measurement of observer agreement for categorical data.” Biometrics 33 (1): 159–174. https://doi.org/10.2307/2529310.
Leote, P., R. L. Cajaiba, J. A. Cabral, A. D. Brescovit, and M. Santos. 2020. “Are data-mining techniques useful for selecting ecological indicators in biodiverse regions? Bridges between market basket analysis and indicator value analysis from a case study in the neotropics.” Ecol. Indic. 109: 105833–11. https://doi.org/10.1016/j.ecolind.2019.105833.
Li, L., and Y. Liu. 2019. “Spatial–temporal patterns and driving forces of sustainable urbanization in China since 2000.” J. Urban Plann. Dev. 145 (4): 05019014. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000528.
Li, S., W. Xiao, Y. Zhao, J. Xu, H. Da, and X. Lv. 2019a. “Quantitative analysis of the ecological security pattern for regional sustainable development: Case study of Chaohu Basin in Eastern China.” J. Urban Plann. Dev 145 (3): 04019009. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000508.
Li, X., H. Deng, and W. Xie. 2019b. “Analysis of the relationship between urbanization and air pollution in Wuhan metropolitan area: Based on the gray correlation and spatial panel econometric model.” City Plann. Rev. 43 (5): 67–72.
Li, X., M.-l. Qian, Y.-y. Xu, J. Lu, X.-r. Wang, Y.-J. Xie, and Z.-q. Fan. 2015. “Adaptability assessment of climate change based on regional climate system and urban growth coupling model—A case study of shanghai.” J. Fudan Univ. 54 (2): 210–219.
Liu, N., C. Liu, Y. Xia, and B. Da. 2018. “Examining the coordination between urbanization and eco-environment using coupling and spatial analyses: A case study in China.” Ecol. Indic. 93: 1163–1175. https://doi.org/10.1016/j.ecolind.2018.06.013.
Liu, Y., C. Yao, G. Wang, and S. Bao. 2011. “An integrated sustainable development approach to modeling the eco-environmental effects from urbanization.” Ecol. Indic. 11 (6): 1599–1608. https://doi.org/10.1016/j.ecolind.2011.04.004.
Liu, Z., Y. Liu, and G. Hong. 2017. “Research on the relationship between green coverage rate of built district and urbanization rate in China.” Ecol. Econ. 33 (6): 205–211.
Liu, Z.-c., and Y.-y. Zhao. 2014. “Analysis on the influencing factors of land intensive use in Nanjing based on gray correlation and entropy method.” Guangdong Agric. Sci. (1): 188–192. https://doi.org/10.16768/j.issn.1004-874x.2014.01.049.
Luo, S., J. Ma, and L. Pan. 2013. Data mining theory and technology. Beijing: Electronic Industry Press.
Lv, T., L. Wang, X. Zhang, H. Xie, H. Lu, H. Li, W. Liu, and Y. Zhang. 2019. “Coupling coordinated development and exploring Its influencing factors in Nanchang, China: From the perspectives of land urbanization and population urbanization.” Land 8 (12): 178. https://doi.org/10.3390/land8120178.
Mennis, J., and D. Guo. 2009. “Spatial data mining and geographic knowledge discovery—An introduction.” Comput. Environ. Urban Syst. 33 (6): 403–408. https://doi.org/10.1016/j.compenvurbsys.2009.11.001.
Pandith, M., R. D. Kaplay, S. S. Potdar, H. Sangnor, and A. D. Rao. 2017. “Impact of urbanization coupled with drought situations on groundwater quality in shallow (basalt) and deeper (granite) aquifers with special reference to fluoride in Nanded-Waghala Municipal Corporation, Nanded District, Maharashtra (India).” Environ. Monit. Assess. 189 (9): 428. https://doi.org/10.1007/s10661-017-6098-9.
Shearman, T. M., J. M. Varner, S. M. Hood, C. A. Cansler, and J. K. Hiers. 2019. “Modelling post-fire tree mortality: Can random forest improve discrimination of imbalanced data?” Ecol. Modell. 414: 108855. https://doi.org/10.1016/j.ecolmodel.2019.108855.
Shen, Y., Y. Fu, and M. Song. 2020. “Coupling relationship between green production and green consumption: Case of the Yangtze River Delta area.” Nat. Resour. Model. 33 (1): e12239. https://doi.org/10.1111/nrm.12239.
Shi, T., S. Yang, W. Zhang, and Q. Zhou. 2020. “Coupling coordination degree measurement and spatiotemporal heterogeneity between economic development and ecological environment—Empirical evidence from tropical and subtropical regions of China.” J. Cleaner Prod. 244: 118739. https://doi.org/10.1016/j.jclepro.2019.118739.
Tayyebi, A., B. C. Pijanowski, M. Linderman, and C. Gratton. 2014. “Comparing three global parametric and local non-parametric models to simulate land use change in diverse areas of the world.” Environ. Modell. Software 59: 202–221. https://doi.org/10.1016/j.envsoft.2014.05.022.
Tian, L., G. Xu, C. Fan, Y. Zhang, C. Gu, and Y. Zhang. 2019. “Analyzing mega city-regions through integrating urbanization and eco-environment systems: A case study of the Beijing-Tianjin-Hebei region.” Int. J. Environ. Res. Public Health 16 (1): 114. https://doi.org/10.3390/ijerph16010114.
Wang, R., F. Li, D. Hu, and B. Larry Li. 2011. “Understanding eco-complexity: Social–economic–natural complex ecosystem approach.” Ecol. Complexity 8 (1): 15–29. https://doi.org/10.1016/j.ecocom.2010.11.001.
Wang, Z., L. Liang, Z. Sun, and X. Wang. 2019. “Spatiotemporal differentiation and the factors influencing urbanization and ecological environment synergistic effects within the Beijing–Tianjin–Hebei urban agglomeration.” J. Environ. Manage. 243: 227–239. https://doi.org/10.1016/j.jenvman.2019.04.088.
Wu, Z., Y. Zhou, H. Wang, and Z. Jiang. 2020. “Depth prediction of urban flood under different rainfall return periods based on deep learning and data warehouse.” Sci. Total Environ. 716: 137077. https://doi.org/10.1016/j.scitotenv.2020.137077.
Yang, T., Y. Jin, L. Yan, and P. Pei. 2019. “Aspirations and realities of polycentric development: Insights from multi-source data into the emerging urban form of Shanghai.” Environ. Plann. B: Urban Anal. City Sci. 46 (7): 1264–1280. https://doi.org/10.1177/2399808319864972.
Yoo, K., S. K. Shukla, J. J. Ahn, K. Oh, and J. Park. 2016. “Decision tree-based data mining and rule induction for identifying hydrogeological parameters that influence groundwater pollution sensitivity.” J. Cleaner Prod. 122: 277–286. https://doi.org/10.1016/j.jclepro.2016.01.075.
York, R., E. A. Rosa, and T. Dietz. 2003. “STIRPAT, IPAT and ImPACT: Analytic tools for unpacking the driving forces of environmental impacts.” Ecol. Econ. 46 (3): 351–365. https://doi.org/10.1016/S0921-8009(03)00188-5.
Zhang, Z., Y. Yang, X. Zhang, and Z. Chen. 2014. “Wind speed changes and its influencing factors in Southwestern China.” Acta Ecol. Sin. 34 (2): 471–481. https://doi.org/10.1016/j.chnaes.2013.06.002.
Zhao, Y., S. Wang, Y. Ge, Q. Liu, and X. Liu. 2017. “The spatial differentiation of the coupling relationship between urbanization and the eco-environment in countries globally: A comprehensive assessment.” Ecol. Modell. 360: 313–327. https://doi.org/10.1016/j.ecolmodel.2017.07.009.
Zheng, Y., L. Capra, O. Wolfson, and H. Yang. 2014. “Urban computing: Concepts, methodologies, and applications.” ACM Trans. Intell. Syst. Technol. 5 (3): 38. https://doi.org/10.1145/2629592.
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Journal of Urban Planning and Development
Volume 147 • Issue 3 • September 2021
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© 2021 American Society of Civil Engineers.
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Received: Sep 8, 2020
Accepted: Mar 25, 2021
Published online: May 26, 2021
Published in print: Sep 1, 2021
Discussion open until: Oct 26, 2021
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