Exploring the drivers of urban expansion in a medium-class urban agglomeration in India using the remote sensing techniques and geographically weighted models
Rapid urbanization urges the immediate attention of policymakers to ensure sustainable city development. Understanding the urban growth drivers is essential to address effective strategies for urbanization-related challenges. This work aims to study Raiganj’s urban development and the factors associ...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | Geography and Sustainability |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666683923000147 |
| _version_ | 1797824534091399168 |
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| author | Tirthankar Basu Arijit Das Paulo Pereira |
| author_facet | Tirthankar Basu Arijit Das Paulo Pereira |
| author_sort | Tirthankar Basu |
| collection | DOAJ |
| description | Rapid urbanization urges the immediate attention of policymakers to ensure sustainable city development. Understanding the urban growth drivers is essential to address effective strategies for urbanization-related challenges. This work aims to study Raiganj’s urban development and the factors associated with this expansion. This study employed global logistic regression (LR) and geographical weighted logistic regression (GWLR) to explore the role of different factors. The results showed that the role of the central business district (covariate >-1), commercial market (covariate >-3), and police station (covariate >-4) were significant to the development of new built-up areas. In the second period, major roads (covariate >-2) and new infrastructures (covariate >-4) became more relevant, particularly in the eastern and southern areas. GWLR was more accurate in assessing the different factors’ impact than LR. The results obtained are essential to understanding urban expansion in India’s medium-class cities, which is critical to effective policies for sustainable urbanization. |
| first_indexed | 2024-03-13T10:40:24Z |
| format | Article |
| id | doaj.art-cc67d9c43e3d4a14a0f3b166e0ba7ec6 |
| institution | Directory Open Access Journal |
| issn | 2666-6839 |
| language | English |
| last_indexed | 2024-03-13T10:40:24Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Geography and Sustainability |
| spelling | doaj.art-cc67d9c43e3d4a14a0f3b166e0ba7ec62023-05-18T04:40:19ZengElsevierGeography and Sustainability2666-68392023-06-0142150160Exploring the drivers of urban expansion in a medium-class urban agglomeration in India using the remote sensing techniques and geographically weighted modelsTirthankar Basu0Arijit Das1Paulo Pereira2Department of Geography, University of Gour Banga, Malda 732103, West Bengal, IndiaDepartment of Geography, University of Gour Banga, Malda 732103, West Bengal, India; Corresponding author.Environmental Management Laboratory, Mykolas Romeris University Vilnius, LithuaniaRapid urbanization urges the immediate attention of policymakers to ensure sustainable city development. Understanding the urban growth drivers is essential to address effective strategies for urbanization-related challenges. This work aims to study Raiganj’s urban development and the factors associated with this expansion. This study employed global logistic regression (LR) and geographical weighted logistic regression (GWLR) to explore the role of different factors. The results showed that the role of the central business district (covariate >-1), commercial market (covariate >-3), and police station (covariate >-4) were significant to the development of new built-up areas. In the second period, major roads (covariate >-2) and new infrastructures (covariate >-4) became more relevant, particularly in the eastern and southern areas. GWLR was more accurate in assessing the different factors’ impact than LR. The results obtained are essential to understanding urban expansion in India’s medium-class cities, which is critical to effective policies for sustainable urbanization.http://www.sciencedirect.com/science/article/pii/S2666683923000147DriversGeographically weighted logistic regression (GWLR)Logistic regressionLULCUrban growth |
| spellingShingle | Tirthankar Basu Arijit Das Paulo Pereira Exploring the drivers of urban expansion in a medium-class urban agglomeration in India using the remote sensing techniques and geographically weighted models Geography and Sustainability Drivers Geographically weighted logistic regression (GWLR) Logistic regression LULC Urban growth |
| title | Exploring the drivers of urban expansion in a medium-class urban agglomeration in India using the remote sensing techniques and geographically weighted models |
| title_full | Exploring the drivers of urban expansion in a medium-class urban agglomeration in India using the remote sensing techniques and geographically weighted models |
| title_fullStr | Exploring the drivers of urban expansion in a medium-class urban agglomeration in India using the remote sensing techniques and geographically weighted models |
| title_full_unstemmed | Exploring the drivers of urban expansion in a medium-class urban agglomeration in India using the remote sensing techniques and geographically weighted models |
| title_short | Exploring the drivers of urban expansion in a medium-class urban agglomeration in India using the remote sensing techniques and geographically weighted models |
| title_sort | exploring the drivers of urban expansion in a medium class urban agglomeration in india using the remote sensing techniques and geographically weighted models |
| topic | Drivers Geographically weighted logistic regression (GWLR) Logistic regression LULC Urban growth |
| url | http://www.sciencedirect.com/science/article/pii/S2666683923000147 |
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