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"City planning India Delhi."
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Impact of urban density on human well-being and sustainable development in Delhi, India
Achieving sustainable urban development amid rapid urbanization requires a deep understanding of how urban density influences human well-being. This study examines the spatial relationship between built-up population density (BUD) and human well-being across Delhi, one of the world’s fastest-growing megacities. Using a combination of high-resolution census data, remote sensing, and spatial analysis, the study identifies markedly uneven urban form characterized by extreme density variation, ranging from 2,884 to 136,385 persons per km² across clusters, and uncoordinated development, particularly in peripheral zones. While BUD significantly affects well-being outcomes, the analysis reveals that beyond an optimal threshold, socio-economic conditions become equally influential. The findings emphasize the urgent need for differential planning strategies: promoting infrastructure and planned densification in low-density peripheries; encouraging mixed-use development in moderate-density zones; and alleviating congestion while enhancing services in high-density, unplanned areas. These insights provide a policy framework aligned with the Sustainable Development Goals, particularly Goal 11, which aims to make cities inclusive, safe, resilient, and sustainable. By emphasizing the spatial heterogeneity of urban density and its implications for well-being, this research provides a valuable lens for urban policy and planning in rapidly growing global cities.
Journal Article
Negotiating cultures : Delhi's architecture and planning from 1912 to 1962
Negotiating Cultures' focuses on the city of Delhi, one of the largest mega-cities in the world, and examines from a historical perspective, the process of hybridization between cultures within its local architecture and urban planning from 1912 to 1962.
Book
Analysis of peri-urban land use/land cover change and its drivers using geospatial techniques and geographically weighted regression
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
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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.
Journal Article
Quality of Life in the City of Delhi: An Assessment Based on Access to Basic Services
The quality of life is a fundamental aspect of development and advancement of human societies. However, measuring and expressing the quality of life in any given setting has proved difficult because it includes multiple dimensions. Further, methods based on questionnaire surveys have to contend with responses that are inexact and difficult to quantify. Here I estimate the quality of life of people living in the Indian city of Delhi using fuzzy sets theory, an approach that is designed to handle inexact or 'fuzzy' outcomes. Using a stratified random sample set of 330 households, I compare different locations in Delhi based on their access to seven basic services that is assumed to depict the quality of life. I found that the majority of services (in particular, the overall maintenance and transport services) are poor in resettlement colonies, unauthorised colonies, and urbanised villages. The quality of services improves in colonies under the jurisdiction of the Delhi Cantonment Board, the New Delhi Municipal Council, and approved colonies of the Delhi Development Authority. The overall patterns suggest that the differences in satisfaction and access are primarily influenced by location, and within each location they are influenced by economic conditions. Over 36 % of Delhi's households, which are classified as 'definitely poor' and 'extremely vulnerable', may be deprived of transport services, around 44 % are deprived of overall maintenance services and over 29 % lack well-maintained green spaces in their neighbourhood. The analysis should draw the attention of policymakers on spatial aspects of development planning.
Journal Article