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<p>Urban planning, with special attention to green space development, offers a relatively simple and low-cost solution to the impacts of climate change and urbanization faced by urban centres. The present work examines the spatial variability of availability of adequate sites for the development of urban green amenities in Noida city. Multi-criteria assessment of potential locations has been accomplished using Analytical Hierarchical Process coupled with geospatial technology. Urban land use, physiographic factors (slope and elevation), accessibility (proximity to roads), and presence of grey, green and blue amenities (Normalised Difference Built-up Index, Normalised Difference Vegetation Index and proximity to water bodies, respectively) are the seven key criteria used to derive the final green space suitability map. A total of 46.47 % of the land was found to be in the category of highly and moderately suitable for greening the city, highlighting the potential of developing different forms of green spaces in the area. Such holistic city scale analysis of availability of potential sites for green space development can be utilised by the city administrators and urban planners for future land use planning and improving the distribution and spatial connectivity of the green spaces in the city with the common goals of better health, a cleaner environment, and climate change mitigation.</p>
</abstract>

Urban planning, with special attention to green space development, offers a relatively simple and low-cost solution to the impacts of climate change and urbanization faced by urban centres. The present work examines the spatial variability of availability of adequate sites for the development of urban green amenities in Noida city. Multi-criteria assessment of potential locations has been accomplished using Analytical Hierarchical Process coupled with geospatial technology. Urban land use, physiographic factors (slope and elevation), accessibility (proximity to roads), and presence of grey, green and blue amenities (Normalised Difference Built-up Index, Normalised Difference Vegetation Index and proximity to water bodies, respectively) are the seven key criteria used to derive the final green space suitability map. A total of 46.47 % of the land was found to be in the category of highly and moderately suitable for greening the city, highlighting the potential of developing different forms of green spaces in the area. Such holistic city scale analysis of availability of potential sites for green space development can be utilised by the city administrators and urban planners for future land use planning and improving the distribution and spatial connectivity of the green spaces in the city with the common goals of better health, a cleaner environment, and climate change mitigation.

Urban Green Space Planning and Development in Urban Cities Using Geospatial Technology: A Case Study of Noida

Guru Gobind Singh Indraprastha University

Journal of Landscape Ecology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Urban planning, with special attention to green space development, offers a relatively simple and low-cost solution to the impacts of climate change and...

Urban Green Space Planning and Development in Urban Cities Using Geospatial Technology: A Case Study of Noida

Data publikacji: 23 cze 2022

Zakres stron: 27 - 46

Otrzymano: 15 sty 2022

Przyjęty: 09 lut 2022

DOI: https://doi.org/10.2478/jlecol-2022-0002

Słowa kluczowe
Analytical Hierarchy Process, Land use suitability, Pairwise comparison, Noida, Urban green spaces, Urban planning

© 2022 Richa Sharma et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Urban Green Space Planning and Development in Urban Cities Using Geospatial Technology: A Case Study of Noida

Data publikacji: 23 cze 2022

Zakres stron: 27 - 46

Otrzymano: 15 sty 2022

Przyjęty: 09 lut 2022

DOI: https://doi.org/10.2478/jlecol-2022-0002

Słowa kluczoweAnalytical Hierarchy Process, Land use suitability, Pairwise comparison, Noida, Urban green spaces, Urban planning

© 2022 Richa Sharma et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
Analytical Hierarchy Process, Land use suitability, Pairwise comparison, Noida, Urban green spaces, Urban planning