An integrated simulation approach to the assessment of urban growth pattern and loss in urban green space in Kolkata, India: A GIS-based analysis

Urban green space (UGS) is although play a vital role in the mitigation of negative impacts of urbanization, but it often abominably affected by the process of land-use land-cover (LULC) changes in an urban area. Thus, the present study aims to examine the loss in urban green space (UGS) in relation...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Santanu Dinda, Nilanjana Das Chatterjee, Subrata Ghosh
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://doaj.org/article/128df52071124034873c1f630f2eff5b
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:128df52071124034873c1f630f2eff5b
record_format dspace
spelling oai:doaj.org-article:128df52071124034873c1f630f2eff5b2021-12-01T04:37:33ZAn integrated simulation approach to the assessment of urban growth pattern and loss in urban green space in Kolkata, India: A GIS-based analysis1470-160X10.1016/j.ecolind.2020.107178https://doaj.org/article/128df52071124034873c1f630f2eff5b2021-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20311171https://doaj.org/toc/1470-160XUrban green space (UGS) is although play a vital role in the mitigation of negative impacts of urbanization, but it often abominably affected by the process of land-use land-cover (LULC) changes in an urban area. Thus, the present study aims to examine the loss in urban green space (UGS) in relation to LULC change by using a multi-temporal land-use transition scenario and to predict the loss of UGS in the future in the city Kolkata. Landsat satellite data (for years 1980, 1991, 2001, 2011 and 2018) were used for analysis. We have adopted three comparative land classification algorithms for the assessment of urban growth pattern. An integrated cellular automata-Markov chain (CA-MC) model was applied to simulate LULC dynamics and the state of UGS in 2025 and 2035. Land use dynamic degree index (LUDD), UGS change intensity index (CII) and UGS land index were used to measure the rate and speed of urban growth, the ratio of change of green space and UGS coverage in respect to the total area of all LULC types, respectively. To measure UGS availability, per-capita urban green space (PCG) was estimated. The model was validated using observed and simulated LULC map 2018. The standard Kappa coefficient value was 0.861 and overall level of agreement was 91.15%, which signifies the efficiency of this simulation. The result shows that the built-up areas were increased from 92.71 sq. km in 1980 to 148.30 sq. km in 2018 and predicted to increase 155.67 sq. km which will be about 84% of the total area. Correspondingly, the predicted results displayed that, vegetation and grassland area were decreased about (−)17.42% and (−)11.69% for the period of 2025–2035, respectively. The present study provides some productive methodological approach for future LULC simulation research and also the findings of this study can help implement UGS management strategies not only for the Kolkata but other cities as well.Santanu DindaNilanjana Das ChatterjeeSubrata GhoshElsevierarticleUrban green space (UGS)Support vector machine (SVM)Cellular automata-Markov chain (CA-MC) modelFuzzy-AHPUGS land indexPer-capita green space (PCG)EcologyQH540-549.5ENEcological Indicators, Vol 121, Iss , Pp 107178- (2021)
institution DOAJ
collection DOAJ
language EN
topic Urban green space (UGS)
Support vector machine (SVM)
Cellular automata-Markov chain (CA-MC) model
Fuzzy-AHP
UGS land index
Per-capita green space (PCG)
Ecology
QH540-549.5
spellingShingle Urban green space (UGS)
Support vector machine (SVM)
Cellular automata-Markov chain (CA-MC) model
Fuzzy-AHP
UGS land index
Per-capita green space (PCG)
Ecology
QH540-549.5
Santanu Dinda
Nilanjana Das Chatterjee
Subrata Ghosh
An integrated simulation approach to the assessment of urban growth pattern and loss in urban green space in Kolkata, India: A GIS-based analysis
description Urban green space (UGS) is although play a vital role in the mitigation of negative impacts of urbanization, but it often abominably affected by the process of land-use land-cover (LULC) changes in an urban area. Thus, the present study aims to examine the loss in urban green space (UGS) in relation to LULC change by using a multi-temporal land-use transition scenario and to predict the loss of UGS in the future in the city Kolkata. Landsat satellite data (for years 1980, 1991, 2001, 2011 and 2018) were used for analysis. We have adopted three comparative land classification algorithms for the assessment of urban growth pattern. An integrated cellular automata-Markov chain (CA-MC) model was applied to simulate LULC dynamics and the state of UGS in 2025 and 2035. Land use dynamic degree index (LUDD), UGS change intensity index (CII) and UGS land index were used to measure the rate and speed of urban growth, the ratio of change of green space and UGS coverage in respect to the total area of all LULC types, respectively. To measure UGS availability, per-capita urban green space (PCG) was estimated. The model was validated using observed and simulated LULC map 2018. The standard Kappa coefficient value was 0.861 and overall level of agreement was 91.15%, which signifies the efficiency of this simulation. The result shows that the built-up areas were increased from 92.71 sq. km in 1980 to 148.30 sq. km in 2018 and predicted to increase 155.67 sq. km which will be about 84% of the total area. Correspondingly, the predicted results displayed that, vegetation and grassland area were decreased about (−)17.42% and (−)11.69% for the period of 2025–2035, respectively. The present study provides some productive methodological approach for future LULC simulation research and also the findings of this study can help implement UGS management strategies not only for the Kolkata but other cities as well.
format article
author Santanu Dinda
Nilanjana Das Chatterjee
Subrata Ghosh
author_facet Santanu Dinda
Nilanjana Das Chatterjee
Subrata Ghosh
author_sort Santanu Dinda
title An integrated simulation approach to the assessment of urban growth pattern and loss in urban green space in Kolkata, India: A GIS-based analysis
title_short An integrated simulation approach to the assessment of urban growth pattern and loss in urban green space in Kolkata, India: A GIS-based analysis
title_full An integrated simulation approach to the assessment of urban growth pattern and loss in urban green space in Kolkata, India: A GIS-based analysis
title_fullStr An integrated simulation approach to the assessment of urban growth pattern and loss in urban green space in Kolkata, India: A GIS-based analysis
title_full_unstemmed An integrated simulation approach to the assessment of urban growth pattern and loss in urban green space in Kolkata, India: A GIS-based analysis
title_sort integrated simulation approach to the assessment of urban growth pattern and loss in urban green space in kolkata, india: a gis-based analysis
publisher Elsevier
publishDate 2021
url https://doaj.org/article/128df52071124034873c1f630f2eff5b
work_keys_str_mv AT santanudinda anintegratedsimulationapproachtotheassessmentofurbangrowthpatternandlossinurbangreenspaceinkolkataindiaagisbasedanalysis
AT nilanjanadaschatterjee anintegratedsimulationapproachtotheassessmentofurbangrowthpatternandlossinurbangreenspaceinkolkataindiaagisbasedanalysis
AT subrataghosh anintegratedsimulationapproachtotheassessmentofurbangrowthpatternandlossinurbangreenspaceinkolkataindiaagisbasedanalysis
AT santanudinda integratedsimulationapproachtotheassessmentofurbangrowthpatternandlossinurbangreenspaceinkolkataindiaagisbasedanalysis
AT nilanjanadaschatterjee integratedsimulationapproachtotheassessmentofurbangrowthpatternandlossinurbangreenspaceinkolkataindiaagisbasedanalysis
AT subrataghosh integratedsimulationapproachtotheassessmentofurbangrowthpatternandlossinurbangreenspaceinkolkataindiaagisbasedanalysis
_version_ 1718405826625929216