IDEAS home Printed from https://ideas.repec.org/a/ibn/jsd123/v17y2024i6p1.html
   My bibliography  Save this article

Biophilic Urbanism's Impact on Sustainable Development: Challenges and Opportunities

Author

Listed:
  • Abdullah Gadhi
  • Alok Tiwari
  • Emad Qurnfulah

Abstract

This research systematically reviews and synthesizes existing literature on the impact of biophilic urbanism on sustainability, aiming to elucidate its effects on urban environments across both environmental and social dimensions. Biophilic urbanism, which integrates natural elements into urban settings, is explored for its potential to address the challenges of urbanization, including environmental degradation and social inequality. The review aggregates findings from diverse studies to offer a comprehensive understanding of how biophilic principles contribute to urban sustainability, highlighting both the benefits and obstacles associated with their implementation. A key focus of this research is the identification and critical analysis of challenges in adopting biophilic urbanism, such as economic, social, and practical barriers. Addressing these challenges is crucial for developing effective strategies to enhance the adoption of nature-integrated design principles in urban planning. In parallel, the research explores the opportunities presented by biophilic urbanism, emphasizing its potential to improve environmental health, community well-being, and urban resilience. The research employs a qualitative methodology, including a thorough literature review and content analysis, to investigate the role of biophilic urbanism in sustainable urban development. It examines potential solutions to environmental and financial challenges, aiming to provide insights that inform future research, policy-making, and urban planning practices. In conclusion, biophilic urbanism is posited as a transformative approach to urban design, offering a framework that integrates natural systems to promote ecological health and human well-being. By aligning with contemporary sustainability objectives, this approach contributes to creating resilient and livable urban environments. Despite facing economic and implementation barriers, strategic solutions and innovative funding mechanisms can facilitate the broader integration of biophilic urbanism into urban planning, supporting global sustainability goals and enhancing the quality of urban life.

Suggested Citation

  • Abdullah Gadhi & Alok Tiwari & Emad Qurnfulah, 2024. "Biophilic Urbanism's Impact on Sustainable Development: Challenges and Opportunities," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 17(6), pages 1-1, November.
  • Handle: RePEc:ibn:jsd123:v:17:y:2024:i:6:p:1
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/jsd/article/download/0/0/50596/54815
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/jsd/article/view/0/50596
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rencai Dong & Yonglin Zhang & Jingzhu Zhao, 2018. "How Green Are the Streets Within the Sixth Ring Road of Beijing? An Analysis Based on Tencent Street View Pictures and the Green View Index," IJERPH, MDPI, vol. 15(7), pages 1-22, June.
    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. Wang, Ruoyu & Cao, Mengqiu & Yao, Yao & Wu, Wenjie, 2022. "The inequalities of different dimensions of visible street urban green space provision: A machine learning approach," Land Use Policy, Elsevier, vol. 123(C).
    2. Yiwei Bai & Yihang Bai & Ruoyu Wang & Tianren Yang & Xinyao Song & Bo Bai, 2023. "Exploring Associations between the Built Environment and Cycling Behaviour around Urban Greenways from a Human-Scale Perspective," Land, MDPI, vol. 12(3), pages 1-19, March.
    3. Gabriele Stancato, 2024. "The Visual Greenery Field: Representing the Urban Green Visual Continuum with Street View Image Analysis," Sustainability, MDPI, vol. 16(21), pages 1-29, October.
    4. Jin Zhu & Yao Gong & Changchang Liu & Jinglong Du & Ci Song & Jie Chen & Tao Pei, 2023. "Assessing the Effects of Subjective and Objective Measures on Housing Prices with Street View Imagery: A Case Study of Suzhou," Land, MDPI, vol. 12(12), pages 1-25, November.
    5. Caigang, Zhuang & Shaoying, Li & Zhangzhi, Tan & Feng, Gao & Zhifeng, Wu, 2022. "Nonlinear and threshold effects of traffic condition and built environment on dockless bike sharing at street level," Journal of Transport Geography, Elsevier, vol. 102(C).
    6. Jingjing Luo & Shiyan Zhai & Genxin Song & Xinxin He & Hongquan Song & Jing Chen & Huan Liu & Yuke Feng, 2022. "Assessing Inequity in Green Space Exposure toward a “15-Minute City” in Zhengzhou, China: Using Deep Learning and Urban Big Data," IJERPH, MDPI, vol. 19(10), pages 1-17, May.
    7. Ziqian Bao & Yihang Bai & Tao Geng, 2023. "Examining Spatial Inequalities in Public Green Space Accessibility: A Focus on Disadvantaged Groups in England," Sustainability, MDPI, vol. 15(18), pages 1-22, September.
    8. Yonglin Zhang & Xiao Fu & Chencan Lv & Shanlin Li, 2021. "The Premium of Public Perceived Greenery: A Framework Using Multiscale GWR and Deep Learning," IJERPH, MDPI, vol. 18(13), pages 1-16, June.
    9. Yixing Chen & Qilin Zhang & Zhang Deng & Xinran Fan & Zimu Xu & Xudong Kang & Kailing Pan & Zihao Guo, 2022. "Research on Green View Index of Urban Roads Based on Street View Image Recognition: A Case Study of Changsha Downtown Areas," Sustainability, MDPI, vol. 14(23), pages 1-17, December.
    10. Yanyan Zhang & Meng Wang & Junyi Li & Jianxia Chang & Huan Lu, 2022. "Do Greener Urban Streets Provide Better Emotional Experiences? An Experimental Study on Chinese Tourists," IJERPH, MDPI, vol. 19(24), pages 1-21, December.
    11. Marco Helbich, 2019. "Spatiotemporal Contextual Uncertainties in Green Space Exposure Measures: Exploring a Time Series of the Normalized Difference Vegetation Indices," IJERPH, MDPI, vol. 16(5), pages 1-13, March.
    12. Wang, Ruoyu & Cao, Mengqiu & Yao, Yao & Wu, Wenjie, 2022. "The inequalities of different dimensions of visible street urban green space provision: a machine learning approach," LSE Research Online Documents on Economics 117694, London School of Economics and Political Science, LSE Library.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    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:ibn:jsd123:v:17:y:2024:i:6:p:1. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.