4.7 Article

Analysis of peri-urban land use/land cover change and its drivers using geospatial techniques and geographically weighted regression

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-022-18853-4

关键词

Peri-urban land use land cover; Built-up expansion; Drivers of land use land cover change; Geographically weighted regression; Delhi NCR

资金

  1. University Grant Commission (UGC)
  2. King Khalid University
  3. Directorate of Economics and Statistics Delhi

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The rate of LULC transformation to built-up areas is high in peri-urban areas of Indian metropolitan cities, with Delhi NCR experiencing significant increase in built-up area from 1990 to 2018. Migration and tertiary sector employment are identified as key drivers of built-up expansion in the region. Spatial heterogeneity in explanatory variables is observed throughout the study area. This study can provide valuable insights for urban policy makers and planners in developing master plans for cities like Delhi NCR.
The rate of transformation of natural land use land cover (LULC) to the built-up areas is very high in the peri-urban areas of Indian metropolitan cities. Delhi National Capital Region (Delhi NCR) is an inter-state planning region, located in the central part of India. The region has attracted a larger chunk of population by providing better economic opportunities during last few decades. This has resulted in large-scale transformation of the LULC pattern in the region. Thus, this study is intended to analyze and quantify the LULC change and its drivers in the peri-urban areas of Delhi NCR using Landsat datasets. Based on an extensive literature survey, several potential drivers of the LULC change have been analyzed using ordinary least squares (OLS) and geographical weighted regression (GWR) for the Delhi NCR. The results from LULC classification showed that the built-up area has increased from 1.67 to 7.12% of the total area of Delhi NCR during 1990-2018 while other LULC types have declined significantly. The OLS results showed that migration and employment in the tertiary sector are the most important drivers of built-up expansion in the study area. The standard residuals and local R-2 results from GWR showed spatial heterogeneity among the coefficients of the explanatory variables throughout the study area. This study can be helpful for the urban policy makers and planners for making better master plan of Delhi NCR and other cities of developing countries.

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