Urban architecture, design, development and planning
V. Chettry
Abstract
BACKGROUND AND OBJECTIVES: Currently, 56% of the global population, reside in cities, and this urbanization trend is predicted to result in a more than doubling of the urban population by 2050. Similarly, mid-sized Indian cities have exhibited rapid urban growth in recent decades. However, a holistic ...
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BACKGROUND AND OBJECTIVES: Currently, 56% of the global population, reside in cities, and this urbanization trend is predicted to result in a more than doubling of the urban population by 2050. Similarly, mid-sized Indian cities have exhibited rapid urban growth in recent decades. However, a holistic study focusing on the temporal dynamics of urban growth in all the mid-sized Indian cities is lacking. Therefore, this study aims to investigate the urban growth pattern across eighty-eight mid-sized Indian cities with the help of Census data from 1971-2011.METHODS: This research, utilizing a quantitative approach, investigates the relationship between economic growth and urban expansion in selected cities. The cities are categorized based on the Gross State Domestic Product of respective states, and the study evaluates changes in municipal areas and demographic growth patterns through the decadal urban expansion rate and decadal population growth rate. The urban growth character is further analyzed by dividing the population growth rate by the decadal urban expansion rate, with a value less than 1 indicating inefficient land utilization. This comprehensive methodology aims to provide insights into the dynamics of urban growth and its correlation with economic development.FINDINGS: The results revealed that inefficient land utilization for urban growth during 1971-2011 had occurred in thirteen cities from the states with higher Gross State Domestic Product and three cities among the states with lower Gross State Domestic Product. Overall, the mid-sized Indian cities, such as Ajmer (0.65), Solapur (0.67), Asansol (0.79), Mangalore (0.83), Jhansi (0.84), Nellore (0.85), Belgaum (0.86), Thrissur (0.86), and Bareilly (0.89) exhibited the lowest PU values during 1971-2011.The major drivers for urban growth in mid-sized Indian cities are government policies and schemes, industrial growth, rise in Gross State Domestic Product, climatic conditions and terrains, social profile, transportation, and infrastructure. CONCLUSION: Overall, there has been inefficient land utilization in several cities, particularly those from states with varying levels of Gross State Domestic Product. Noteworthy cities like Ajmer, Solapur, and Belgaum consistently demonstrated efficient land utilization, reflected in their lower Population-to-Urban Expansion (PU) values. The study emphasizes the intricate influences shaping urban growth, encompassing government policies, industrial development, economic factors, climate, social dynamics, and infrastructure. Future research endeavors could further delve into the specific impact of these factors on urban expansion, employing longitudinal analyses, and explore the socio-economic ramifications of efficient or inefficient land utilization, contributing to more informed urban planning and policy formulation.
Urban architecture, design, development and planning
P. Shehu; L.S. Rikko; M.B. Azi
Abstract
BACKGROUND AND OBJECTIVES: Recently, Jos Metropolis, Nigeria is witnessing a strong trend toward urban growth and expansion. This phenomenon has impacted Land Use/Land Cover and efficient management of land. This paper evaluated urban growth and changes in Land Use /Land Cover and examined the land use ...
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BACKGROUND AND OBJECTIVES: Recently, Jos Metropolis, Nigeria is witnessing a strong trend toward urban growth and expansion. This phenomenon has impacted Land Use/Land Cover and efficient management of land. This paper evaluated urban growth and changes in Land Use /Land Cover and examined the land use efficiency of the metropolis. Land Use and Land Cover changes were established from 1999 to 2022; Land consumption rate and population growth rate were determined, and computation of the SDG 11.3.1 framework was done to examine the efficiency of land use.METHODS: Data were collected through official documents, the use of remote sensing, and, geographic information systems. Satellite imageries used to determine the classes and changes in Land Use/Land Cover changes were Landsat 5 TM (1999), Landsat 7 ETM+ (2004, 2009, and 2014), and Landsat 8 ETM+ (2018 and 2022). Global positioning system was used for ground-truthing, IDRISI Taiga software was used for image classification, and ArcGIS was used for map visualization. Four classes of Land Use and Land Cover were identified: Built-up, Meadows, Mountain/Vegetation, and Water bodies.FINDINGS: Results revealed that built-up area increased consistently from 3494.007 hectares in 1999 to 16995.360 ha in 2022 leading to a substantial reduction in other land use and land cover. The study confirmed a burgeoning population growth from 780,000 in 1999 to 1,563,193 in 2022. This growth had a significant impact on urban land use management, consuming a large proportion of land from 3494.007 hectares to 16995.36 hectares in 1999 and 2022 respectively. Results revealed a high land consumption rate of 0.0962 and 0.0884 during 2018-2022 and 1999-2004. A high population growth rate (0.0414) was recorded during 2018-2022. These dynamics intensified the rate of land acquisition for urban development. The average value of the SDG 11.3.1 framework was 2.3 which is higher than 1, indicating that urban expansion is moving away from land use efficiency.CONCLUSION: The paper recommended the establishment of a Growth Management Monitoring system by the state government for effective and efficient management of land resources through a spatial plan for the metropolis. This study has provided insight into the dynamics of Jos metropolitan LULC and land use efficiency management which could be useful to policymakers, urban planners, and researchers in initiating sustainable urban development strategies and inclusive structure for its planning and management.
