Identification of Multipurpose Greenway Networks for Ecological Resilience Using Geospatial Technology: Case Study of South Delhi District in India
DOI:
https://doi.org/10.30564/re.v6i4.7721Abstract
Urban greenways counter ecological fragmentation and enhance urban sustainability. This study proposes a multipurpose greenway network in South Delhi District to improve ecological connectivity and urban liveability amidst rapid urbanization. Key areas such as Asola Bhatti Wildlife Sanctuary, Hauz Khas, and Saket were identified using geospatial analysis, considering factors like land availability, road density, protected areas, demand, and topography through a Rating and Weighting (RAW) method. The findings reveal the potential of greenways to connect fragmented green spaces, integrate recreational zones, and preserve natural habitats while linking cultural and historical landmarks. Comparative analysis with greenway projects in Bangalore and Singapore highlights scalability and best practices. Bangalore’s initiatives focus on linking urban lakes and parks, showcasing the use of local ecological features as anchors. Singapore’s Park Connector Network demonstrates the benefits of cohesive urban ecosystems. These examples emphasize the importance of phased implementation and institutional support for success. The proposed greenways not only enhance biodiversity but also mitigate urban heat islands, improve air quality, and promote public health through accessible recreational spaces. Policymakers and urban planners can adopt this model to address environmental challenges, improve urban liveability, and drive sustainable development in other urbanizing regions. The research underscores greenways as a blueprint for creating ecologically and socially resilient urban environments.
Keywords:
Greenway Networks; Urban Planning; Ecological Resilience; Remote Sensing; GIS; Multi-Criteria Decision Making (MCDM)References
[1] McGranahan, G., Satterthwaite, D., 2014. Urbanization: Concepts and trends. IIED Working Paper, Paper Number 10709IIED, 15 October 2014. Available from: http://pubs.iied.org/10709IIED
[2] Zhang, Q.X., 2015. The trends, promises and challenges of urbanization in the world. Habitat International. 54(Part 3), 241–252. DOI: http://dx.doi.org/10.1016/j.habitatint.2015.11.018
[3] Sharma, M., Kumar, V., Kumar, S., 2024. A systematic review of urban sprawl and land use/land cover change studies in India. Sustainable Environment. 10(1), 2331269. DOI: https://doi.org/10.1080/27658511.2024.2331269
[4] Song, X., Liu, Y., Zhu, X., et al., 2021. The impacts of urban land expansion on ecosystem services in Wuhan, China. Environmental Science and Pollution Research. 29(7), 10635–10648. DOI: https://doi.org/10.1007/s11356-021-16419-4
[5] Liu, T., Yu, L., Chen, X., et al., 2024. Identifying potential urban greenways by considering green space exposure levels and maximizing recreational flows: A case study in Beijing’s built-up areas. Land. 13(11), 1793. DOI: https://doi.org/10.3390/land13111793
[6] Ignatieva, M., Stewart, G.H., Meurk, C., 2010. Planning and design of ecological networks in urban areas. Landscape and Ecological Engineering. 7(1), 17–25. DOI: https://doi.org/10.1007/s11355-010-0143-y
[7] Peng, X., 2018. Spatial green belt development report in China. Frontiers Research of Architecture and Engineering. 1(4), 98. DOI: https://doi.org/10.30564/frae.v1i4.247
[8] Jim, C.Y., Lo, A.Y., Byrne, J.A., 2015. Charting the green and climate-adaptive city. Landscape and Urban Planning. 138, 51–53. DOI: https://doi.org/10.1016/j.landurbplan.2015.03.007
[9] Kremer, P., Hamstead, Z.A., McPhearson, T., 2016. The value of urban ecosystem services in New York City: A spatially explicit multicriteria analysis of landscape scale valuation scenarios. Environmental Science & Policy. 62, 57–68. DOI: http://doi.org/10.1016/j.envsci.2016.04.012
[10] Baris, M., 2010. The effects of urbanization on the environment and the role of greenways. Environmental Urban Studies. 25(3), 45–58.
[11] Secretariat of the Convention on Biological Diversity, 2014. Global Biodiversity Outlook 4. Report No. 92-9225-539-8, 6 October 2014. Available from: https://www.cbd.int/gbo4 (cited 25 December 2024).
[12] Bennett, A.F., Radford, J.Q., Haslem, A., 2006. Properties of land mosaics: Implications for biodiversity. Ecology Letters. 9(10), 1193–1204.
[13] Taylor, P.D., Fahrig, L., Henein, K., et al., 1993. Connectivity is a vital element of landscape structure. Oikos. 68(3), 571–573. DOI: https://doi.org/10.2307/3544927
[14] Tang, Z., Ye, Y., Jiang, Z., et al., 2020. A Data-Informed Analytical Approach to Human-Scale Greenway Planning: Integrating Multi-Sourced Urban Data with Machine Learning Algorithms. Urban Forestry and Urban Greening, 56, Article ID: 126871. DOI: https://doi.org/10.1016/j.ufug.2020.126871
[15] Du, X., Tang, M., Chen, W., 2012. Application of greenway planning for ecological protection: A case study of Chongming Island, China. Journal of Environmental Management. 103, 18–27.
[16] Du, Q., Zhang, C., Wang, K., 2012. Suitability analysis for greenway planning in China: An example of Chongming Island. Environmental Management. 49(1), 96–110. DOI: https://doi.org/10.1007/s00267-011-9768-3
[17] Korkou M., Tarigan A.K.M., Hanslin H.M., 2023. The multifunctionality concept in urban green infrastructure planning: A systematic literature review. Urban Forestry Urban Greening. 85, 127975. DOI: https://doi.org/10.1016/j.ufug.2023.127975
[18] Turner, M., Gardner, R., 1991. Quantitative methods in landscapeecology. Springer: New York, NY, USA. pp. 3–14.
[19] Balta, M.Ö., Yenil, H.Ü., 2019. Multi criteria decision making methods for urban greenway: The case of Aksaray, Turkey. Land Use Policy. 89, 104224. DOI: https://doi.org/10.1016/j.landusepol.2019.104224
[20] Zhang, F., Qian, H., 2024. A comprehensive review of the environmental benefits of urban green spaces. Environmental Research. 252, 118837. DOI: https://doi.org/10.1016/j.envres.2024.118837
[21] Gharaibeh, A.A. and Sawalqah, H.A., 2016. Greenway Planning; Developing A Network Methodology For Jordan. Proceedings of the Fábos Conference on Landscape and Greenway Planning. 5(1), 38. DOI: https://doi.org/10.7275/fabos.627
[22] Blaschke, T., 2010. Object-based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing. 65(1), 2–16.
[23] Wu, Z., Cheng, S., Xu, K., et al., 2024. Ecological Network Resilience Evaluation and Ecological Strategic Space Identification based on complex network theory: A case study of Nanjing city. Ecological Indicators. 158, 111604. DOI: https://doi.org/10.1016/j.ecolind.2024.111604
[24] Gharaibeh, S., 2016. Identifying multipurpose greenway networks using spatial analysis: A model for sustainable urban planning. Journal of Urban Studies. 53(6), 1032–1045.
[25] Fabos, J.G., 1995. Introduction and overview: The greenway movement, uses and potentials of greenways. Landscape and Urban Planning. 33(1–3), 1–13.
[26] Miller, W., Collins, G.M., Steiner, R.F., et al., 1998. An approach for greenway suitability analysis. Landscape and Urban Planning. 41(5), 657–670.
[27] Blob, H., 2016. Travel-oriented greenway network planning using least-cost path modeling. Landscape and Urban Planning. 145, 123–132.
[28] Conine, A., Xiang, W.N., Young, J., et al., 2004. Planning for multi-purpose greenways in Concord, North Carolina. Landscape and Urban Planning. 68(2–3), 271–287.
[29] Vatanparast, E., ShataeeJoibari, S., Salmanmahiny, A., et al., 2024. Urban greenway planning: Identifying optimal locations for active travel corridors through individual mobility assessment. Urban Forestry & Urban Greening, 128464. DOI: https://doi.org/10.1016/j.ufug.2024.128464
[30] Searns, M.R., 1995. The evolution of greenways as an adaptive urban landscape form. Landscape and Urban Planning. 33(1–3), 65–80. DOI: https://doi.org/10.1016/0169-2046(94)02014-7
[31] Vogt, P., Ferrari, J.R., Lookingbill, T.R., et al., 2009. Mapping functional connectivity. Ecological Indicators. 9(1), 64–71. DOI: https://doi.org/10.1016/j.ecolind.2008.01.011
[32] Zhang, D., Xie, X., Zhou, C., 2023. Spatial influence of exposure to green spaces on the climate comfort of urban habitats in China. Urban Climate. 51, 101657. DOI: https://doi.org/10.1016/j.uclim.2023.101657
[33] Maantay, J., Winner, A., Maroko, A., 2022. Geospatial analysis of the urbanhealthenvironment. In: Faruque, F.S. (ed.). Geospatial Technology for Human Well-Being and Health. Springer: Cham, Germany. pp. 151–183. DOI: https://doi.org/10.1007/978-3-030-71377-5_9
[34] Belisle, M., 2005. Measuring landscape connectivity: The challenge of behavioral landscape ecology. Ecology Letters. 8(5), 879–890
[35] Chin, C., 2020. Understanding greenway habitat through species diversity and vegetation structure analysis. Ecological Applications. 30(2), 123–135.
[36] Donald, W., Alan, P., Robert, S., 2003. Time-Saver Standards for Urban Design. McGraw-Hill.
[37] Teng, M., Wu, C., Zhou, Z., et al., 2011. Multipurpose greenway planning for changing cities: A framework integrating priorities and a least-cost path model. Landscape and Urban Planning, 103(1), 1–14. DOI: https://doi.org/10.1016/j.landurbplan.2011.05.007
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Copyright © 2024 Poonam Chandel, Daljit Singh, Subhash Anand, Harish Kumar, Alka Gagan, Usha Rani, Praveen Kumar, Nishit
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