IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i2p1609-d1035374.html
   My bibliography  Save this article

Assessment of Urban Green Open Spaces of Micro- and Meso-Level Zones, Based on the Growth Pattern: Case of Patna City

Author

Listed:
  • Sandeep Kumar

    (Department of Architecture and Planning, National Institute of Technology Patna, Patna 800005, India)

  • Fulena Rajak

    (Department of Architecture and Planning, National Institute of Technology Patna, Patna 800005, India)

Abstract

India’s urban population increase is creating pressure on the urban green open spaces. The overall city-level per capita open space is considered as a benchmark of the open space. The open space of Patna is 2.43 sq m per capita, but at the community level or ward level, there is a lacuna. So, there is a significant gap in open space distribution at the city level and the micro level, that is, ward or block level. An assessment was carried out on three parameters, i.e., quantity, accessibility, and quality. Open space, catchment area, and vegetation cover were used as independent variables, and population density and ward area as dependent variables, to understand the distribution at the ward level, that is, community level. Distribution was analyzed by Pearson correlation between the independent and dependent variables within three parameters. The open space distribution between three meso-level areas based on the growth pattern was analyzed with the help of linear regression and R-squared tests to compare the distribution between the areas. The result shows that Patna has poor distribution in the old and new areas. The developed areas in between have good distribution at the micro level and meso level. Patna has 2.3 sq m per capita as per the proposed open space plan and projected population of 2030, which is less than the standard 3.16 sq m/capita at the community level and 3.66 sq m/capita at the district level.

Suggested Citation

  • Sandeep Kumar & Fulena Rajak, 2023. "Assessment of Urban Green Open Spaces of Micro- and Meso-Level Zones, Based on the Growth Pattern: Case of Patna City," Sustainability, MDPI, vol. 15(2), pages 1-29, January.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1609-:d:1035374
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/2/1609/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/2/1609/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shruti Lahoti & Ashish Lahoti & Rajendra Kumar Joshi & Osamu Saito, 2020. "Vegetation Structure, Species Composition, and Carbon Sink Potential of Urban Green Spaces in Nagpur City, India," Land, MDPI, vol. 9(4), pages 1-20, April.
    2. Pritam Ahirrao & Smita Khan, 2021. "Assessing Public Open Spaces: A Case of City Nagpur, India," Sustainability, MDPI, vol. 13(9), pages 1-24, April.
    3. Muhammad Fahad Baqa & Fang Chen & Linlin Lu & Salman Qureshi & Aqil Tariq & Siyuan Wang & Linhai Jing & Salma Hamza & Qingting Li, 2021. "Monitoring and Modeling the Patterns and Trends of Urban Growth Using Urban Sprawl Matrix and CA-Markov Model: A Case Study of Karachi, Pakistan," Land, MDPI, vol. 10(7), pages 1-17, July.
    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. Ge Wang & Ziqi Zhou & Jianguo Xia & Dinghua Ou & Jianbo Fei & Shunya Gong & Yuxiao Xiang, 2023. "Optimal Allocation of Territorial Space in the Minjiang River Basin Based on a Double Optimization Simulation Model," Land, MDPI, vol. 12(11), pages 1-26, October.
    2. Milad Asadi & Amir Oshnooei-Nooshabadi & Samira-Sadat Saleh & Fattaneh Habibnezhad & Sonia Sarafraz-Asbagh & John Lodewijk Van Genderen, 2022. "Urban Sprawl Simulation Mapping of Urmia (Iran) by Comparison of Cellular Automata–Markov Chain and Artificial Neural Network (ANN) Modeling Approach," Sustainability, MDPI, vol. 14(23), pages 1-16, November.
    3. Xuancheng Zhao & Fengshi Li & Yongzhi Yan & Qing Zhang, 2022. "Biodiversity in Urban Green Space: A Bibliometric Review on the Current Research Field and Its Prospects," IJERPH, MDPI, vol. 19(19), pages 1-15, October.
    4. Oznur Isinkaralar & Kaan Isinkaralar & Dilara Yilmaz, 2023. "Climate-related spatial reduction risk of agricultural lands on the Mediterranean coast in Türkiye and scenario-based modelling of urban growth," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(11), pages 13199-13217, November.
    5. Sajjad Hussain & Linlin Lu & Muhammad Mubeen & Wajid Nasim & Shankar Karuppannan & Shah Fahad & Aqil Tariq & B. G. Mousa & Faisal Mumtaz & Muhammad Aslam, 2022. "Spatiotemporal Variation in Land Use Land Cover in the Response to Local Climate Change Using Multispectral Remote Sensing Data," Land, MDPI, vol. 11(5), pages 1-19, April.
    6. Diana Dushkova & Annegret Haase & Manuel Wolff & Dagmar Haase, 2021. "Editorial for Special Issue “Nature-Based Solutions (NBS) in Cities and Their Interactions with Urban Land, Ecosystems, Built Environments and People: Debating Societal Implications”," Land, MDPI, vol. 10(9), pages 1-7, September.
    7. Jing Liu & Chunchun Hu & Xionghua Kang & Fei Chen, 2023. "A Loosely Coupled Model for Simulating and Predicting Land Use Changes," Land, MDPI, vol. 12(1), pages 1-19, January.
    8. Hoyong Kim & Donghyun Kim, 2022. "Changes in Urban Growth Patterns in Busan Metropolitan City, Korea: Population and Urbanized Areas," Land, MDPI, vol. 11(8), pages 1-18, August.
    9. Yanan Li & Linghua Duo & Ming Zhang & Zhenhua Wu & Yanjun Guan, 2021. "Assessment and Estimation of the Spatial and Temporal Evolution of Landscape Patterns and Their Impact on Habitat Quality in Nanchang, China," Land, MDPI, vol. 10(10), pages 1-19, October.
    10. Mirza Waleed & Muhammad Sajjad & Anthony Owusu Acheampong & Md. Tauhidul Alam, 2023. "Towards Sustainable and Livable Cities: Leveraging Remote Sensing, Machine Learning, and Geo-Information Modelling to Explore and Predict Thermal Field Variance in Response to Urban Growth," Sustainability, MDPI, vol. 15(2), pages 1-27, January.
    11. Umer Khalil & Umar Azam & Bilal Aslam & Israr Ullah & Aqil Tariq & Qingting Li & Linlin Lu, 2022. "Developing a Spatiotemporal Model to Forecast Land Surface Temperature: A Way Forward for Better Town Planning," Sustainability, MDPI, vol. 14(19), pages 1-21, September.
    12. Lige Xu & Kailun Fang & Yu Huang & Shuangyu Xu, 2023. "Demand Priority of Green Space from the Perspective of Carbon Emissions and Storage," Sustainability, MDPI, vol. 15(14), pages 1-16, July.
    13. Yugang Chen & Changkun Xie & Ruiyuan Jiang & Shengquan Che, 2021. "Optimization of Ecosystem Services of Shanghai Urban–Suburban Street Trees Based on Low-Carbon Targets," Sustainability, MDPI, vol. 13(23), pages 1-16, November.
    14. Iwona Cieślak & Andrzej Biłozor & Luca Salvati, 2022. "Land as a Basis for Recent Progress in the Study of Urbanization Dynamics," Land, MDPI, vol. 11(1), pages 1-4, January.
    15. Fahad Ahmed Shaikh & Mir Aftab Hussain Talpur & Imtiaz Ahmed Chandio & Saima Kalwar, 2022. "Factors Influencing Residential Location Choice towards Mixed Land-Use Development: An Empirical Evidence from Pakistan," Sustainability, MDPI, vol. 14(21), pages 1-25, November.

    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:jsusta:v:15:y:2023:i:2:p:1609-:d:1035374. 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.