ANALYSING URBAN SPRAWL OF THE MUMBAI METROPOLITAN REGION USING REMOTE SENSING AND SOCIOECONOMIC DATA

Urban growth in developing countries like India is happening more than twice as fast as the population increase. Such rapid urban growth has resulted in urban sprawl characterized by low-density scattered development. Urban planners require a timely updated dataset and suitable tools to monitor the...

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Main Authors: S. Y. Bhatia, G. R. Patil, K. M. Buddhiraju
Format: Article
Language:English
Published: Copernicus Publications 2023-09-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://isprs-archives.copernicus.org/articles/XLVIII-M-3-2023/35/2023/isprs-archives-XLVIII-M-3-2023-35-2023.pdf
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author S. Y. Bhatia
G. R. Patil
K. M. Buddhiraju
author_facet S. Y. Bhatia
G. R. Patil
K. M. Buddhiraju
author_sort S. Y. Bhatia
collection DOAJ
description Urban growth in developing countries like India is happening more than twice as fast as the population increase. Such rapid urban growth has resulted in urban sprawl characterized by low-density scattered development. Urban planners require a timely updated dataset and suitable tools to monitor the urban sprawl and ensure sustainable development. The present study uses Landsat data from 1999, 2009 and 2019 and socioeconomic data to study the urban sprawl characteristic of the Mumbai Metropolitan Region (MMR) over two decades. The analyses show that MMR's built-up areas have expanded from 400 sq. km in 1999 to 761 sq. km in 2019, implying a 90% growth in the past two decades. While most municipal corporations have more than 60% of land covered by built-up areas, municipal councils are less saturated, with <30% built-up covers. With saturated land spaces within municipal corporations, higher growth rates are observed in the municipal councils. Also, the urban growth rates in these municipal councils outpace the population growth rate. The urban sprawl indices computed also suggest a continuous compact development within the municipal corporations while a continued sprawling within these fast-developing municipal councils. Mira Bhayandar is the most compact, while Bhiwandi Special Notified Area is the most sprawled urban area in MMR. The analyses show a clear indication of urban sprawl characteristics of the MMR. Many of these municipal councils are in the initial stages of development and lack appropriate governance to tackle rapid urbanization. Suitable policy measures that result in balanced urban growth can help ensure sustainable development.
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spelling doaj.art-94a2f57118494bd995c5fc595340a9ea2023-09-05T21:42:08ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342023-09-01XLVIII-M-3-2023354210.5194/isprs-archives-XLVIII-M-3-2023-35-2023ANALYSING URBAN SPRAWL OF THE MUMBAI METROPOLITAN REGION USING REMOTE SENSING AND SOCIOECONOMIC DATAS. Y. Bhatia0G. R. Patil1K. M. Buddhiraju2Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai 400076, Maharashtra, IndiaDepartment of Civil Engineering, Indian Institute of Technology Bombay, Mumbai 400076, Maharashtra, IndiaCenter of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai 400076, Maharashtra, IndiaUrban growth in developing countries like India is happening more than twice as fast as the population increase. Such rapid urban growth has resulted in urban sprawl characterized by low-density scattered development. Urban planners require a timely updated dataset and suitable tools to monitor the urban sprawl and ensure sustainable development. The present study uses Landsat data from 1999, 2009 and 2019 and socioeconomic data to study the urban sprawl characteristic of the Mumbai Metropolitan Region (MMR) over two decades. The analyses show that MMR's built-up areas have expanded from 400 sq. km in 1999 to 761 sq. km in 2019, implying a 90% growth in the past two decades. While most municipal corporations have more than 60% of land covered by built-up areas, municipal councils are less saturated, with <30% built-up covers. With saturated land spaces within municipal corporations, higher growth rates are observed in the municipal councils. Also, the urban growth rates in these municipal councils outpace the population growth rate. The urban sprawl indices computed also suggest a continuous compact development within the municipal corporations while a continued sprawling within these fast-developing municipal councils. Mira Bhayandar is the most compact, while Bhiwandi Special Notified Area is the most sprawled urban area in MMR. The analyses show a clear indication of urban sprawl characteristics of the MMR. Many of these municipal councils are in the initial stages of development and lack appropriate governance to tackle rapid urbanization. Suitable policy measures that result in balanced urban growth can help ensure sustainable development.https://isprs-archives.copernicus.org/articles/XLVIII-M-3-2023/35/2023/isprs-archives-XLVIII-M-3-2023-35-2023.pdf
spellingShingle S. Y. Bhatia
G. R. Patil
K. M. Buddhiraju
ANALYSING URBAN SPRAWL OF THE MUMBAI METROPOLITAN REGION USING REMOTE SENSING AND SOCIOECONOMIC DATA
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title ANALYSING URBAN SPRAWL OF THE MUMBAI METROPOLITAN REGION USING REMOTE SENSING AND SOCIOECONOMIC DATA
title_full ANALYSING URBAN SPRAWL OF THE MUMBAI METROPOLITAN REGION USING REMOTE SENSING AND SOCIOECONOMIC DATA
title_fullStr ANALYSING URBAN SPRAWL OF THE MUMBAI METROPOLITAN REGION USING REMOTE SENSING AND SOCIOECONOMIC DATA
title_full_unstemmed ANALYSING URBAN SPRAWL OF THE MUMBAI METROPOLITAN REGION USING REMOTE SENSING AND SOCIOECONOMIC DATA
title_short ANALYSING URBAN SPRAWL OF THE MUMBAI METROPOLITAN REGION USING REMOTE SENSING AND SOCIOECONOMIC DATA
title_sort analysing urban sprawl of the mumbai metropolitan region using remote sensing and socioeconomic data
url https://isprs-archives.copernicus.org/articles/XLVIII-M-3-2023/35/2023/isprs-archives-XLVIII-M-3-2023-35-2023.pdf
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