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

被引:35
|
作者
Naikoo, Mohd Waseem [1 ]
Rihan, Mohd [1 ]
Shahfahad [1 ]
Peer, Arshid Hussain [2 ]
Talukdar, Swapan [1 ]
Mallick, Javed [3 ]
Ishtiaq, Mohammad [1 ]
Rahman, Atiqur [1 ]
机构
[1] Jamia Millia Islamia, Dept Geog, Fac Nat Sci, New Delhi 110025, India
[2] Jamia Millia Islamia, Dept Econ, Fac Social Sci, New Delhi 110025, India
[3] King Khalid Univ, Coll Engn, Dept Civil Engn, Abha 62529, Saudi Arabia
关键词
Peri-urban land use land cover; Built-up expansion; Drivers of land use land cover change; Geographically weighted regression; Delhi NCR; URBAN EXPANSION; DRIVING FORCES; AGRICULTURAL LAND; DYNAMICS; GROWTH; DELHI; URBANIZATION; CHALLENGES; PATTERN; TRENDS;
D O I
10.1007/s11356-022-18853-4
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:116421 / 116439
页数:19
相关论文
共 50 条
  • [1] Analysis of peri-urban land use/land cover change and its drivers using geospatial techniques and geographically weighted regression
    Mohd Waseem Naikoo
    Mohd Rihan
    Arshid Hussain Shahfahad
    Swapan Peer
    Javed Talukdar
    Mohammad Mallick
    Atiqur Ishtiaq
    [J]. Environmental Science and Pollution Research, 2023, 30 : 116421 - 116439
  • [2] Agricultural growth and land use land cover change in peri-urban India
    Sanoj Kumar Patel
    Pramit Verma
    Gopal Shankar Singh
    [J]. Environmental Monitoring and Assessment, 2019, 191
  • [3] Agricultural growth and land use land cover change in peri-urban India
    Patel, Sanoj Kumar
    Verma, Pramit
    Singh, Gopal Shankar
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2019, 191 (09)
  • [4] Application of Geo-Information Techniques in Land Use and Land Cover Change Analysis in a Peri-Urban District of Ghana
    Appiah, Divine Odame
    Schroeder, Dietrich
    Forkuo, Eric Kwabena
    Bugri, John Tiah
    [J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2015, 4 (03) : 1265 - 1289
  • [5] Land use land cover change analysis and detection of its drivers using geospatial techniques: a case of south-central Ethiopia
    Mariye, Mehari
    Li Jianhua
    Maryo, Melesse
    [J]. ALL EARTH, 2022, 34 (01): : 309 - 332
  • [6] Land-use and land cover change dynamics in urban Ghana: implications for peri-urban livelihoods
    Iddrisu, Suale
    Siiba, Alhassan
    Alhassan, Joseph
    Abass, Kabila
    [J]. INTERNATIONAL JOURNAL OF URBAN SUSTAINABLE DEVELOPMENT, 2023, 15 (01) : 80 - 96
  • [7] Analysis of Land Development Drivers Using Geographically Weighted Ridge Regression
    Pourmohammadi, Pariya
    Strager, Michael P.
    Dougherty, Michael J.
    Adjeroh, Donald A.
    [J]. REMOTE SENSING, 2021, 13 (07)
  • [8] Analysis of land use and land cover dynamics and drivers of urban expansion in and around Imphal city, India, using geospatial and random forest techniques
    Singh, Huirem Gulsunkumar
    Singh, Khundrakpam Pradipkumar
    [J]. GEOJOURNAL, 2024, 89 (04)
  • [9] From agriculture to nature - a study of drivers of land use change in a peri-urban landscape
    Busck, Anne Gravsholt
    Kristensen, Soren Bech Pilgaard
    [J]. GEOGRAFISK TIDSSKRIFT-DANISH JOURNAL OF GEOGRAPHY, 2014, 114 (01) : 41 - 58
  • [10] COMPARATIVE ANALYSIS OF LAND SURFACE TEMPERATURE AND LAND COVER BASED ON GEOGRAPHICALLY WEIGHTED REGRESSION
    Xu, D.
    Gao, J.
    [J]. APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2019, 17 (05): : 12623 - 12638