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Smart city article details
| Title | Urban Modelling And Forecasting Of Landuse Using Sleuth Model |
|---|---|
| ID_Doc | 60082 |
| Authors | Kumar V.; Agrawal S. |
| Year | 2023 |
| Published | International Journal of Environmental Science and Technology, 20, 6 |
| DOI | http://dx.doi.org/10.1007/s13762-022-04331-4 |
| Abstract | The present study performs landcover modelling using the SLEUTH model. The urban land use changing factors are calibrated to predict the Land Use Land Cover (LULC) for a densely populated and developing smart city, Prayagraj, India. This research aims to use the SLEUTH model for simulating the future urban growth with the help of historical LULC (1990–2020), road network and elevation data. The influence of road gravity and slope resistant coefficients is very significant in this study's outcome. The built-up area of the region increased from 40.22 km2 (5.10% of total area) in 1990 to 85.89 km2 (10.89%) in 2020. According to prediction results, in the next 20 years, the built-up growth rate would be 1.9% and approximated built-up area would be 118.66 km2 (14.98%) in the year 2040. The quality of the result has been quantified in terms of best fit value of Optimal SLEUTH Metric (OSM) and validated against the existing LULC. The study utilises a spatially explicit urban growth model with 30 m resolution remote sensing data and provides future landuse of Prayagraj city. © 2022, The Author(s) under exclusive licence to Iranian Society of Environmentalists (IRSEN) and Science and Research Branch, Islamic Azad University. |
| Author Keywords | Prediction; Scenario-based planning; SLEUTH model; Smart city; Urban LULC calibration |
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