SpringerLink
Log in

Modeling and exploring the coordination relationship between green infrastructure and land use eco-efficiency: an urban agglomeration perspective

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

In limited land space, improving the construction of infrastructure with ecological services can help to achieve the goal of promoting land use eco-efficiency (LUEE). In view of this, this study constructed interactive coordination relationship model of green infrastructure (GI) and LUEE that involves entropy method model, super-efficiency slack-based measure (SBM) model with undesirable outputs, and coupling coordination degree model. The interactive coordination relationship model can help to study and reveal the mechanisms of interaction and the coordination relationship between GI and LUEE from a land benefit and ecological perspective. We took the Bei**g-Tian**-Hebei urban agglomeration as the study area. The results showed that the assessment results of GI showed a decreasing trend from 2000 to 2020. LUEE in different cities displayed obvious variability with efficiency values ranging from 0.5666 to 2.4437. The relationship between GI and LUEE is in the stage of uncoordinated development in 53.8% of cities, mainly concentrated in the eastern and southern parts of the study area. The unnatural human activities are the critical factors affecting interactive coupling coordination degree of LUEE and GI. It is clarified that the level of coordination relationship of the two can be used as an important indicator to judge the sustainable development of urban agglomerations. Intensive use of land, optimal connection of geographic information, and localization of policies would help improve the balance and coordination between the two. This study provides interesting research ideas and novel modeling approaches for the study of green and sustainable development of urban agglomerations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Germany)

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  • Barbati A, Corona P, Salvati L, Gasparella L (2013) Natural forest expansion into suburban countryside: gained ground for a green infrastructure? Urban For Urban Gree 12:36–43

    Article  Google Scholar 

  • Bonfiglio A, Arzeni A, Bodini A (2017) Assessing eco-efficiency of arable farms in rural areas. Agr Syst 151:114–125

    Article  Google Scholar 

  • Cetin M (2015) Using GIS analysis to assess urban green space in terms of accessibility: case study in Kutahya. Int J Sust Dev World 22:420–424

    Google Scholar 

  • Cetin M, Aksoy T, Ozturk GB, Cabuk A (2022a) Develo** a model for the relationship between vegetation and wind power using remote sensing and geographic information systems technology. Water Air Soil Poll 233:450

    Article  CAS  Google Scholar 

  • Cetin M, Aljama AMO, Alrabiti OBM, Adiguzel F, Sevik H, Cetin IZ (2022b) Determination and map** of regional change of Pb and Cr pollution in Ankara City Center. Water Air Soil Poll 233:163

    Article  CAS  Google Scholar 

  • Chen SN, Guo J (2021) Climatic risks of Bei**g-Tian**-Hebei urban agglomeration and their changes. Geomat Nat Haz Risk 12:1298–1314

    Article  Google Scholar 

  • Chen W, Ning SY, Chen WJ, Liu EN, Wang YN, Zhao MJ (2020) Spatial-temporal characteristics of industrial land green efficiency in China: Evidence from prefecture-level cities. Ecol Indic 113:106256

    Article  Google Scholar 

  • D’Ambrosio V, Di Martino F, Rigillo M (2022) GIS-based model for constructing ecological efficiency maps of urban green areas: the case study of Western Naples Italy. Sustain-Basel 14:6830

    Article  Google Scholar 

  • Dogan S, Kilicoglu C, Akinci H, Sevik H, Cetin M (2022) Determining the suitable settlement areas in Alanya with GIS-based site selection analyses. Environ Sci Pollut R 30(11):29180–29189

    Article  Google Scholar 

  • Dong JQ, Jiang H, Gu TW, Liu YX, Peng J (2022) Sustainable landscape pattern: a landscape approach to serving spatial planning. Landscape Ecol 37:31–42

    Article  Google Scholar 

  • Escobedo FJ, Giannico V, Jim CY, Sanesi G, Lafortezza R (2019) Urban forests, ecosystem services, green infrastructure and nature-based solutions: nexus or evolving metaphors. Urban For Urban Gree 37:3–12

    Article  Google Scholar 

  • Fang CL, Yu DL (2017) Urban agglomeration: an evolving concept of an emerging phenomenon. Landscape Urban Plan 162:126–136

    Article  Google Scholar 

  • Feng RD, Wang FY, Wang KY, Wang HJ, Li L (2021) Urban ecological land and natural-anthropogenic environment interactively drive surface urban heat island: an urban agglomeration-level study in China. Environ Int 157:106857

    Article  Google Scholar 

  • Geng YQ, Wei ZJ, Zhang H, Maimaituerxun M (2020) Analysis and prediction of the coupling coordination relationship between tourism and air environment: Yangtze River Economic Zone in China as example. Discrete Dyn Nat Soc 2020:1406978

    Article  Google Scholar 

  • Green D, O’Donnell E, Johnson M, Slater L, Thorne C, Zheng S, Stirling R, Chan FKS, Li L, Boothroyd RJ (2021) Green infrastructure: the future of urban flood risk management? Wires Water 8:e21560

    Article  Google Scholar 

  • Han H, Guo L, Zhang JQ, Zhang KZ, Cui NB (2021) Spatiotemporal analysis of the coordination of economic development, resource utilization, and environmental quality in the Bei**g-Tian**-Hebei urban agglomeration. Ecol Indic 127:107724

    Article  Google Scholar 

  • Hanna E, Bruno D, Comin FA (2023) Evaluating naturalness and functioning of urban green infrastructure. Urban For Urban Gree 80:127825

    Article  Google Scholar 

  • He JX, Hu S (2022) Ecological efficiency and its determining factors in an urban agglomeration in China: the Chengdu-Chongqing urban agglomeration. Urban Clim 41:101071

    Article  Google Scholar 

  • Hewitt CN, Ashworth K, MacKenzie AR (2020) Using green infrastructure to improve urban air quality (GI4AQ). Ambio 49:62–73

    Article  Google Scholar 

  • Jezzini Y, Assaf G, Assaad RH (2023) Models and methods for quantifying the environmental, economic, and social benefits and challenges of green infrastructure: a critical review. Sustain-Basel 15:7544

    Article  Google Scholar 

  • Koop SHA, van Leeuwen CJ (2017) The challenges of water, waste and climate change in cities. Environ Dev Sustain 19:385–418

    Article  Google Scholar 

  • Kumar P, Druckman A, Gallagher J, Gatersleben B, Allison S, Eisenman TS, Hoang U, Hama S, Tiwari A, Sharma A, Abhijith KV, Adlakha D, McNabola A, Astell-Burt T, Feng XQ, Skeldon AC, de Lusignan S, Morawska L (2019) The nexus between air pollution, green infrastructure and human health. Environ Int 133:105181

    Article  Google Scholar 

  • Liang LW, Wang ZB, Li JX (2019) The effect of urbanization on environmental pollution in rapidly develo** urban agglomerations. J Clean Prod 237:117649

    Article  Google Scholar 

  • Liu WJ, Jiao FC, Ren LJ, Xu XG, Wang JC, Wang X (2018a) Coupling coordination relationship between urbanization and atmospheric environment security in **an City. J Clean Prod 204:1–11

    Article  CAS  Google Scholar 

  • Liu YH, Fang XY, Xu YM, Zhang S, Luan QZ (2018b) Assessment of surface urban heat island across China’s three main urban agglomerations. Theor Appl Climatol 133:473–488

    Article  Google Scholar 

  • Lovell ST, Taylor JR (2013) Supplying urban ecosystem services through multifunctional green infrastructure in the United States. Landscape Ecol 28:1447–1463

    Article  Google Scholar 

  • Ma Y, Zheng XQ, Liu ML, Liu DY, Ai G, Chen XY (2022) Spatio-temporal evolution characteristics analysis and optimization prediction of urban green infrastructure: a case study of Bei**g China. Sci Rep-Uk 12:10702

    Article  CAS  Google Scholar 

  • Martinez-Fernandez J, Perez-Ibarra I, Banos-Gonzalez I, Esteve-Selma MA (2023) Social-ecological systems modelling to understand the linkages between water, agriculture and rural systems. Ecol Model 482:110375

    Article  Google Scholar 

  • Marull J, Padro R, Rota-Aguilera MJL, Pino J, Giocoli A, Cirera J, Ruiz-Fores N, Coll F, Serrano-Tovar T, Velasco-Fernandez R (2023) Modelling land use planning: socioecological integrated analysis of metropolitan green infrastructures. Land Use Policy 126:106558

    Article  Google Scholar 

  • McMahon ET (2000) Green infrastructure. Plan Commissioners J 37:4–7

    Google Scholar 

  • Mell IC (2010) Green infrastructure concepts, perceptions and its use in spatial planning. Dissertation. Newcastle University

    Google Scholar 

  • Mesev V (2001) Morphological image analysis: principles and applications. Environ Plann B-Plann Des 28:800–801

    Google Scholar 

  • Pekkan OI, Senyel Kurkcuoglu MA, Cabuk SN, Aksoy T, Yilmazel B, Kucukpehlivan T, Dabanli A, Cabuk A, Cetin M (2021) Assessing the effects of wind farms on soil organic carbon. Environ Sci Pollut R 28:18216–18233

    Article  Google Scholar 

  • Qin M, Sun MX, Li J (2021) Impact of environmental regulation policy on ecological efficiency in four major urban agglomerations in eastern China. Ecol Indic 130:108002

    Article  Google Scholar 

  • Sahana M, Hong HY, Sajjad H (2018) Analyzing urban spatial patterns and trend of urban growth using urban sprawl matrix: a study on Kolkata urban agglomeration, India. Sci Total Environ 628-629:1557–1566

    Article  CAS  Google Scholar 

  • Shemshadi A, Shirazi H, Toreihi M, Tarokh MJ (2011) A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting. Expert Syst Appl 38:12160–12167

    Article  Google Scholar 

  • Song XW, Hao YP, Zhu XD (2019) Air pollutant emissions from vehicles and their abatement scenarios: a case study of Chengdu-Chongqing urban agglomeration China. Sustain-Basel 11:6503

    Article  CAS  Google Scholar 

  • Su QM, Jiang XQ (2021) Evaluate the economic and environmental efficiency of land use from the perspective of decision-makers’ subjective preferences. Ecol Indic 129:107984

    Article  Google Scholar 

  • Tao F, Zhang HQ, Hu J, **a XH (2017) Dynamics of green productivity growth for major Chinese urban agglomerations. Appl Energ 196:170–179

    Article  Google Scholar 

  • Tian YY, Zhou DY, Jiang GH (2020) Conflict or coordination? Multiscale assessment of the spatio-temporal coupling relationship between urbanization and ecosystem services: the case of the **g**ji Region China. Ecol Indic 117:106543

    Article  Google Scholar 

  • Tian YY, Zhou DY, Jiang GH (2021) A new quality management system of admittance indicators to improve industrial land use efficiency in the Bei**g-Tian**-Hebei region. Land Use Policy 107:105456

    Article  Google Scholar 

  • Tiwari A, Kumar P (2020) Integrated dispersion-deposition modelling for air pollutant reduction via green infrastructure at an urban scale. Sci Total Environ 723:138078

    Article  CAS  Google Scholar 

  • Tone K (2001) A slacks-based measure of efficiency in data envelopment analysis. Eur J Oper Res 130:498–509

    Article  Google Scholar 

  • Tone K (2002) A slacks-based measure of super-efficiency in data envelopment analysis. Eur J Oper Res 143:32–41

    Article  Google Scholar 

  • Tong Y, Zhou HF, Jiang L (2021) Exploring the transition effects of foreign direct investment on the eco-efficiency of Chinese cities: based on multi-source data and panel smooth transition regression models. Ecol Indic 121:107073

    Article  Google Scholar 

  • Wang HJ, Zhang B, Liu YL, Liu YF, Xu S, Zhao YT, Chen YC, Hong S (2020a) Urban expansion patterns and their driving forces based on the center of gravity-GTWR model: a case study of the Bei**g-Tian**-Hebei urban agglomeration. J Geogr Sci 30:297–318

    Article  Google Scholar 

  • Wang JX, Xu C, Pauleit S, Kindler A, Banzhaf E (2019a) Spatial patterns of urban green infrastructure for equity: a novel exploration. J Clean Prod 238

  • Wang S, Jia MY, Zhou YH, Fan F (2020b) Impacts of changing urban form on ecological efficiency in China: a comparison between urban agglomerations and administrative areas. J Environ Plann Man 63:1834–1856

    Article  Google Scholar 

  • Wang SG, Chen B (2016) Energy-water nexus of urban agglomeration based on multiregional input-output tables and ecological network analysis: a case study of the Bei**g-Tian**-Hebei region. Appl Energ 178:773–783

    Article  Google Scholar 

  • Wang ZB, Liang LW, Sun Z, Wang XM (2019b) Spatiotemporal differentiation and the factors influencing urbanization and ecological environment synergistic effects within the Bei**g-Tian**-Hebei urban agglomeration. J Environ Manage 243:227–239

    Article  Google Scholar 

  • Wei AH, Li D, Dai FG, Lang XJ, Ma BH, Wang YQ (2021) An optimization method coupled the index-overlay method with entropy weighting model to assess seawater intrusion vulnerability. Environ Sci Pollut R 28:36142–36156

    Article  CAS  Google Scholar 

  • **ao R, Yu XY, **ang T, Zhang ZH, Wang X, Wu JG (2021) Exploring the coordination between physical space expansion and social space growth of China’s urban agglomerations based on hierarchical analysis. Land Use Policy 109:105700

    Article  Google Scholar 

  • **e X, Fang B, Xu HZY, He SS, Li X (2021) Study on the coordinated relationship between urban land use efficiency and ecosystem health in China. Land Use Policy 102

  • **ng L, Xue MG, Hu MS (2019) Dynamic simulation and assessment of the coupling coordination degree of the economy-resource-environment system: case of Wuhan City in China. J Environ Manage 230:474–487

    Article  Google Scholar 

  • Xu ZX, Yin YQ (2021) Regional development quality of Yangtze River Delta: from the perspective of urban population agglomeration and ecological efficiency coordination. Sustain-Basel 13:12818

    Article  Google Scholar 

  • Xue D, Yue L, Ahmad F, Draz MU, Chandio AA (2021) Urban eco-efficiency and its influencing factors in Western China: fresh evidence from Chinese cities based on the US-SBM. Ecol Indic 127:107784

    Article  Google Scholar 

  • Yang B, Wang ZQ, Zou L, Zou LL, Zhang HW (2021) Exploring the eco-efficiency of cultivated land utilization and its influencing factors in China’s Yangtze River Economic Belt, 2001–2018. J Environ Manage 294:112939

    Article  Google Scholar 

  • Yang HR, Wu Q (2019) Land use eco-efficiency and its convergence characteristics under the constraint of carbon emissions in China. Int J Env Res Pub He 16:3172

    Article  CAS  Google Scholar 

  • Yang L, Wang KL, Geng JC (2018) China’s regional ecological energy efficiency and energy saving and pollution abatement potentials: an empirical analysis using epsilon-based measure model. J Clean Prod 194:300–308

    Article  Google Scholar 

  • Yin YQ, Hou XH, Liu JM, Zhou X, Zhang DJ (2022) Detection and attribution of changes in cultivated land use ecological efficiency: a case study on Yangtze River Economic Belt China. Ecol Indic 137:108753

    Article  Google Scholar 

  • Ying J, Zhang XJ, Zhang YQ, Bilan S (2022) Green infrastructure: systematic literature review. Econ Res-Ekon Istraz 35:343–366

    Google Scholar 

  • Yu JQ, Zhou KL, Yang SL (2019) Land use efficiency and influencing factors of urban agglomerations in China. Land Use Policy 88:104143

    Article  Google Scholar 

  • Yu X, Lv CY, Guo XD, Zhang ZJ, Li SC, Hao JK (2018) Assessment on the status of land ecosystem in Bei**g-Tian**-Hebei Region. China Land Sci 32:89–96 (in Chinese)

    Google Scholar 

  • Zhao Z, Bai YP, Wang GF, Chen JC, Yu JL, Liu W (2018) Land eco-efficiency for new-type urbanization in the Bei**g-Tian**-Hebei Region. Technol Forecast Soc 137:19–26

    Article  Google Scholar 

  • Zhu XH, Li Y, Zhang PF, Wei YG, Zheng XY, **e LL (2019) Temporal-spatial characteristics of urban land use efficiency of China’s 35 mega cities based on DEA: decomposing technology and scale efficiency. Land Use Policy 88:104083

    Article  Google Scholar 

Download references

Funding

This work was supported by the National Natural Science Foundation of China (No. 42201471); the National Natural Science Foundation of China (No. 72033005); the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources (No. KF-2020-05-063); and the National Natural Science Foundation of China (No. 42171113).

Author information

Authors and Affiliations

  1. School of Information Engineering, China University of Geosciences, Bei**g, 100083, China

    Yin Ma, Feng Xu, Yu Qian, Menglan Liu & **nqi Zheng

  2. School of Public Administration and Policy, Renmin University of China, Bei**g, 100872, China

    Minrui Zheng

  3. Digital Government and National Governance Lab, Renmin University of China, Bei**g, 100872, China

    Minrui Zheng

  4. Technology Innovation Center for Territory Spatial Big-data, MNR of China, Bei**g, 100036, China

    **nqi Zheng

  5. Bei**g Fangshan Observation and Research Station of Comprehensive Exploration Technology, Ministry of Natural Resources of People’s Republic of China, Bei**g, 102400, China

    **nqi Zheng

  6. School of Surveying and Geo-Informatics, Shandong Jianzhu University, **an, 250101, China

    Jiantao Liu

Authors
  1. Yin Ma
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Minrui Zheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Feng Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yu Qian
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Menglan Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. **nqi Zheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Jiantao Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Yin Ma, Minrui Zheng, **nqi Zheng, and Feng Xu conceived the research and revised the article; Yin Ma, Minrui Zheng, Yu Qian, and Menglan Liu designed the research experiment; Yin Ma wrote the article; and Menglan Liu, Feng Xu, and Jiantao Liu provided and analyzed the experiment data. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Minrui Zheng.

Ethics declarations

Ethical approval

Not applicable.

Consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Responsible Editor: Philippe Garrigues

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Highlights

(1) An interactive coordination relationship model between GI and LUEE was constructed to explore the coupling, coordination, and sustainable relationship between the two.

(2) The constructed model was used to explore the interactive and coordinated relationship between GI and LUEE in the Bei**g-Tian**-Hebei urban agglomeration from 2000 to 2020.

(3) The GI and LUEE of 53.8% of the cities in the Bei**g-Tian**-Hebei urban agglomeration are in the stage of uncoordinated development.

(4) The interactive coupling coordination degree measured by the model can be an important indicator of green sustainable and coordinated development.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ma, ., Zheng, M., Xu, F. et al. Modeling and exploring the coordination relationship between green infrastructure and land use eco-efficiency: an urban agglomeration perspective. Environ Sci Pollut Res 30, 92537–92554 (2023). https://doi.org/10.1007/s11356-023-28841-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-023-28841-x

Keywords

Search

Navigation