IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i5p600-d1386343.html
   My bibliography  Save this article

Green Infrastructure Fluctuations in Urban Agglomeration of Shanxi Province, China: Implications for Controlling Ecological Crises

Author

Listed:
  • Cheng Gong

    (Department of Design, Taiyuan Normal University, Jinzhong 030619, China)

  • Huijun Pang

    (Department of Design, Taiyuan Normal University, Jinzhong 030619, China)

  • Aruhan Olhnuud

    (School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China)

  • Fan Hao

    (College of Forestry, Northwest A&F University, Yangling, Xianyang 712100, China)

  • Feinan Lyu

    (College of Agricultural Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China)

Abstract

The rapid urbanization process means that even moderate-sized cities can quickly become part of larger urban agglomerations, creating new urban zones. Urban Green Infrastructure (UGI) plays a crucial role in these clusters, acting as precious green spaces essential for maintaining ecological safety. This study combines fluctuation analysis based on Morphological Spatial Pattern with traditional landscape pattern analysis, comprehensively addressing the evolution of UGI in terms of quantity, characteristics, and morphology. We selected the Taiyuan-Jinzhong agglomeration as our study area, which is currently in an agglomeration process. The results demonstrated the critical role of surrounding mountains as natural ecological barrier zones. During urban agglomeration, management strategies focused on large-scale afforestation to ensure the quantity of UGI. However, this approach also led to a more clustered landscape with reduced connectivity. Additionally, linear or small-scale UGI types such as branch and islet have seen reductions over the past decade. Changes in internal morphological and complex fluctuations within UGI can harm the formation of ecological networks and potentially negatively affect biodiversity and ecological safety. The research highlights how ecological protection and urban planning policies can influence UGI fluctuations. Therefore, urban managers should not just concentrate on maintaining the quantity of UGI, but also give consideration to changes in its internal features and morphology. Before cities further agglomerate into larger urban clusters, it is crucial to address deficiencies in UGI, continuously improving type configurations and functional structures at the landscape scale. Through strategic planning of UGI, cities can mitigate ecological risks and foster sustainable urban development.

Suggested Citation

  • Cheng Gong & Huijun Pang & Aruhan Olhnuud & Fan Hao & Feinan Lyu, 2024. "Green Infrastructure Fluctuations in Urban Agglomeration of Shanxi Province, China: Implications for Controlling Ecological Crises," Land, MDPI, vol. 13(5), pages 1-14, April.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:5:p:600-:d:1386343
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/5/600/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/13/5/600/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Connop, Stuart & Vandergert, Paula & Eisenberg, Bernd & Collier, Marcus J. & Nash, Caroline & Clough, Jack & Newport, Darryl, 2016. "Renaturing cities using a regionally-focused biodiversity-led multifunctional benefits approach to urban green infrastructure," Environmental Science & Policy, Elsevier, vol. 62(C), pages 99-111.
    2. Antonio M. Bento & Maureen L. Cropper & Ahmed Mushfiq Mobarak & Katja Vinha, 2005. "The Effects of Urban Spatial Structure on Travel Demand in the United States," The Review of Economics and Statistics, MIT Press, vol. 87(3), pages 466-478, August.
    3. Colin Vance & Ralf Hedel, 2007. "The impact of urban form on automobile travel: disentangling causation from correlation," Transportation, Springer, vol. 34(5), pages 575-588, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ahlfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2019. "The economic effects of density: A synthesis," Journal of Urban Economics, Elsevier, vol. 111(C), pages 93-107.
    2. Heres-Del-Valle, David & Niemeier, Deb, 2011. "CO2 emissions: Are land-use changes enough for California to reduce VMT? Specification of a two-part model with instrumental variables," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 150-161, January.
    3. Tae-Hyoung Gim, 2012. "A meta-analysis of the relationship between density and travel behavior," Transportation, Springer, vol. 39(3), pages 491-519, May.
    4. David R. Heres & Rafael Dávila-Bugarín, 2020. "The impact of urban form on vehicle fuel consumption in Mexican metropolitan areas," EKONOMIAZ. Revista vasca de Economía, Gobierno Vasco / Eusko Jaurlaritza / Basque Government, vol. 97(01), pages 241-263.
    5. Ahfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2017. "The compact city in empirical research: A quantitative literature review," LSE Research Online Documents on Economics 83638, London School of Economics and Political Science, LSE Library.
    6. Li, Jun, 2011. "Decoupling urban transport from GHG emissions in Indian cities--A critical review and perspectives," Energy Policy, Elsevier, vol. 39(6), pages 3503-3514, June.
    7. Karen C Seto & Michail Fragkias & Burak Güneralp & Michael K Reilly, 2011. "A Meta-Analysis of Global Urban Land Expansion," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-9, August.
    8. Salon, Deborah, 2015. "Heterogeneity in the relationship between the built environment and driving: Focus on neighborhood type and travel purpose," Research in Transportation Economics, Elsevier, vol. 52(C), pages 34-45.
    9. Huang, Xiaoyan & (Jason) Cao, Xinyu & Yin, Jiangbin & Cao, Xiaoshu, 2019. "Can metro transit reduce driving? Evidence from Xi'an, China," Transport Policy, Elsevier, vol. 81(C), pages 350-359.
    10. Andrew Tracy & Peng Su & Adel Sadek & Qian Wang, 2011. "Assessing the impact of the built environment on travel behavior: a case study of Buffalo, New York," Transportation, Springer, vol. 38(4), pages 663-678, July.
    11. Kulmer, Veronika & Koland, Olivia & Steininger, Karl W. & Fürst, Bernhard & Käfer, Andreas, 2014. "The interaction of spatial planning and transport policy: A regional perspective on sprawl," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(1), pages 57-77.
    12. He, Qingsong & He, Weishan & Song, Yan & Wu, Jiayu & Yin, Chaohui & Mou, Yanchuan, 2018. "The impact of urban growth patterns on urban vitality in newly built-up areas based on an association rules analysis using geographical ‘big data’," Land Use Policy, Elsevier, vol. 78(C), pages 726-738.
    13. Chattopadhyay Sudip & Taylor Emily, 2012. "Do Smart Growth Strategies Have a Role in Curbing Vehicle Miles Traveled? A Further Assessment Using Household Level Survey Data," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 12(1), pages 1-29, September.
    14. Gabriel M. Ahfeldt & Elisabetta Pietrostefani, 2017. "The Compact City in Empirical Research: A Quantitative Literature Review," SERC Discussion Papers 0215, Centre for Economic Performance, LSE.
    15. Xu Yang & Xuan Zou & Xueqi Liu & Qixuan Li & Siqian Zou & Ming Li, 2023. "The Spatiotemporal Pattern and Driving Mechanism of Urban Sprawl in China’s Counties," Land, MDPI, vol. 12(3), pages 1-16, March.
    16. Fullerton, Thomas M. & Jiménez, Alan A. & Walke, Adam G., 2015. "An econometric analysis of retail gasoline prices in a border metropolitan economy," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 450-461.
    17. Kamruzzaman, Md. & Baker, Douglas & Washington, Simon & Turrell, Gavin, 2013. "Residential dissonance and mode choice," Journal of Transport Geography, Elsevier, vol. 33(C), pages 12-28.
    18. Proost, Stef & Van Dender, Kurt, 2012. "Energy and environment challenges in the transport sector," Economics of Transportation, Elsevier, vol. 1(1), pages 77-87.
    19. David Eichler & Hillel Bar-Gera & Meir Blachman, 2013. "Vortex-Based Zero-Conflict Design of Urban Road Networks," Networks and Spatial Economics, Springer, vol. 13(3), pages 229-254, September.
    20. Salon, Deborah, 2015. "The Effect of Land Use Policies and Infrastructure Investments on How Much We Drive: A Practitioner’s Guide to the Literature," Institute of Transportation Studies, Working Paper Series qt54d4567m, Institute of Transportation Studies, UC Davis.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:13:y:2024:i:5:p:600-:d:1386343. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.