As per a decadal analysis of forest cover change in megacities of India between 2011 and 2021, Hyderabad emerged as the city with a *** percent growth in forest area, followed by Chennai and Delhi. Ahmedabad lost ** percent of its forest cover in a period of ten years.

In a survey conducted in 2022 among respondents from megacities of India, Surat emerged on the top in terms of clean mobility with a score of ****, among all megacities of India. It was closely followed by Chennai and Pune-Pimpri-Chinwad. The parameter of clean mobility includes impact of air pollution, clean mobility focused policies, willingness to adopt electric mobility, among others. Megacities are defined as the cities with a population of over ************ as per the survey. The Ease of Moving Index is a composite index comprising **** parameters across ** indicators. The parameters include seamless, inclusive, clean, efficient and shared mobility and investment in the city among others.

The dataset contains Interferometric Synthetic Aperture Radar (InSAR)-derived Vertical Land Motion (VLM) measurements and building damage risk maps for five rapidly growing Indian megacities: New Delhi, Mumbai, Bengaluru, Chennai, and Kolkata. Researchers can visualize and extract values, including latitude and longitude information, using ArcGIS, QGIS, or any programming language that supports the ESRI shapefile format.

In a survey conducted in 2022 among respondents from megacities of India, Pune-Pimpri Chinwad emerged on top in terms of inclusive mobility with a score of ****, among all megacities of India. It was closely followed by Mumbai and Bengaluru. The parameter of inclusive mobility includes mobility systems meeting the needs of diverse group of populations including women, children, trans/non-binary, the elderly, the disabled among others.. Megacities are defined as cities with a population of over ************ as per the survey. The Ease of Moving Index is a composite index comprising **** parameters across ** indicators. The parameters include seamless, inclusive, clean, efficient and shared mobility and investment in the city among others.

In a survey conducted in 2022 among respondents from megacities of India, Pune emerged on the top with a score of **** among all megacities of India, followed by Mumbai and Hyderabad. Megacities are defined as cities with a population of over ************, as per the survey. The Ease of Moving Index is a composite index comprising **** parameters across ** indicators. The parameters include seamless, inclusive, clean, efficient, and shared mobility and investment in the city, among others.

In a survey conducted in 2022 among respondents from megacities of India, Kolkata emerged at the top among all megacities of India in terms of achieving the goal of active and shared mobility, with a score of 0.56. It was followed by Bengaluru and Chennai. Active and shared mobility includes a robust public transportation system, active mobility including walking and cycling, and investment in active mobility infrastructure in the city. Megacities are defined as the cities with a population of over four million as per the survey. The Ease of Moving Index is a composite index comprising nine parameters across 41 indicators. The parameters include seamless, inclusive, clean, efficient and shared mobility and investment in the city among others.

Goal 11: Make cities and human settlements inclusive, safe, resilient, and sustainableHalf of humanity – 3.5 billion people – lives in cities today. By 2030, almost 60% of the world’s population will live in urban areas.828 million people live in slums today and the number keeps rising.The world’s cities occupy just 2% of the Earth’s land, but account for 60 – 80% of energy consumption and 75% of carbon emissions. Rapid urbanization is exerting pressure on fresh water supplies, sewage, the living environment, and public health. But the high density of cities can bring efficiency gains and technological innovation while reducing resource and energy consumption.Cities have the potential to either dissipate the distribution of energy or optimise their efficiency by reducing energy consumption and adopting green – energy systems. For instance, Rizhao, China has turned itself into a solar – powered city; in its central districts, 99% of households already use solar water heaters.68% of India’s total population lives in rural areas (2013-14).By 2030, India is expected to be home to 6 mega-cities with populations above 10 million. Currently 17% of India’s urban population lives in slums.This map layer is offered by Esri India, for ArcGIS Online subscribers, If you have any questions or comments, please let us know via content@esri.in.

In a survey conducted in 2022 among respondents from megacities of India, Surat emerged on the top in terms of getting closer to the goal of zero road accidents with a score of ****, among all megacities of India. It was closely followed by Pune and Hyderabad. The parameter includes commuter perception, road fatality numbers and other road infrastructure related points. Megacities are defined as the cities with a population of over **** million as per the survey. The Ease of Moving Index is a composite index comprising **** parameters across ** indicators. The parameters include seamless, inclusive, clean, efficient and shared mobility and investment in the city among others.

It is estimated that more than 8 billion people live on Earth and the population is likely to hit more than 9 billion by 2050. Approximately 55 percent of Earth’s human population currently live in areas classified as urban. That number is expected to grow by 2050 to 68 percent, according to the United Nations (UN).The largest cities in the world include Tōkyō, Japan; New Delhi, India; Shanghai, China; México City, Mexico; and São Paulo, Brazil. Each of these cities classifies as a megacity, a city with more than 10 million people. The UN estimates the world will have 43 megacities by 2030.Most cities' populations are growing as people move in for greater economic, educational, and healthcare opportunities. But not all cities are expanding. Those cities whose populations are declining may be experiencing declining fertility rates (the number of births is lower than the number of deaths), shrinking economies, emigration, or have experienced a natural disaster that resulted in fatalities or forced people to leave the region.This Global Cities map layer contains data published in 2018 by the Population Division of the United Nations Department of Economic and Social Affairs (UN DESA). It shows urban agglomerations. The UN DESA defines an urban agglomeration as a continuous area where population is classified at urban levels (by the country in which the city resides) regardless of what local government systems manage the area. Since not all places record data the same way, some populations may be calculated using the city population as defined by its boundary and the metropolitan area. If a reliable estimate for the urban agglomeration was unable to be determined, the population of the city or metropolitan area is used.Data Citation: United Nations Department of Economic and Social Affairs. World Urbanization Prospects: The 2018 Revision. Statistical Papers - United Nations (ser. A), Population and Vital Statistics Report, 2019, https://doi.org/10.18356/b9e995fe-en.

Many world cities have been going through thermal state intensification induced by the uncertain growth of impervious land. To address this challenge, one of the megacities of South Asia, Bengaluru (India), facing intense urbanization transformation, has been taken up for detailed investigations. Three decadal (1989–2019) patterns and magnitude of natural coverage and its influence on the thermal state are studied in this research for assisting urban planners in adopting mitigation measures to achieve sustainable development in the megacity. The main aim of this research is to monitor the surface urban cool island (SUCI) in Bengaluru city, one of the booming megacities in India, using Landsat data from 1989 to 2019. This study further focused on the analysis of land surface temperature (LST), bare surface (BS), impervious surface (IS), and vegetation surface (VS). The SUCI intensity (SUCII) is examined through the LST difference based on the classified categories of land use/land cover (LU/LC) using urban-rural grid zones. In addition, we have proposed a modified approach in the form of ISBS fraction ratio (ISBS–FR) to cater to the state of urbanization. Furthermore, the relationship between LST and ISBS–FR and the magnitude of the ISBS–FR is also analyzed. The rural zone is assumed based on

As of 2024, Mumbai had a gross domestic product of *** billion U.S. dollars, the highest among other major cities in India. It was followed by Delhi with a GDP of around *** billion U.S. dollars. India’s megacities also boast the highest GDP among other cities in the country. What drives the GDP of India’s megacities? Mumbai is the financial capital of the country, and its GDP growth is primarily fueled by the financial services sector, port-based trade, and the Hindi film industry or Bollywood. Delhi in addition to being the political hub hosts a significant services sector. The satellite cities of Noida and Gurugram amplify the city's economic status. The southern cities of Bengaluru and Chennai have emerged as IT and manufacturing hubs respectively. Hyderabad is a significant player in the pharma and IT industries. Lastly, the western city of Ahmedabad, in addition to its strategic location and ports, is powered by the textile, chemicals, and machinery sectors. Does GDP equal to quality of life? Cities propelling economic growth and generating a major share of GDP is a global phenomenon, as in the case of Tokyo, Shanghai, New York, and others. However, the GDP, which measures the market value of all final goods and services produced in a region, does not always translate to a rise in quality of life. Five of India’s megacities featured in the Global Livability Index, with low ranks among global peers. The Index was based on indicators such as healthcare, political stability, environment and culture, infrastructure, and others.

This dataset and codebook correspond to the initial round of survey data gathered in Delhi and Mumbai (India) in 2023, within the project FULFILL - Fundamental Decarbonisation Through Sufficiency By Lifestyle Changes.

As part of Work Package 3 (WP3) in the FULFILL project, we collected quantitative data from six countries: Denmark, France, Germany, Italy, Latvia, and India. In the first round of the survey, we recruited a representative sample of approximately 2000 households in each country, taking into account both the individual and household perspectives. In order to consider sufficiency-oriented lifestyles not only in Europe but also in the Global South, we conducted a similar survey in India. More specifically, we adjusted the survey to fit the context (e.g., including cooling) and, due to the large size and diversity within India, we focused data collection on two Mega Cities (>10Mio inhabitants), namely Mumbai and Delhi. Due to the different cultural context and in exchange with Indian researchers and the supporting market research institute, we decided to change the methodology for data collection from an online survey to face-to-face interviews. The survey includes a quantitative assessment of the carbon footprint in various domains of life, such as housing, mobility, and diet. In addition to this, the survey also measures socio-economic factors such as age, gender, income, education, household size, life stage, and political orientation. Furthermore, the survey includes measures of quality of life, encompassing aspects such as health and well-being, environmental quality, financial security, and comfort.

Multiple regression coefficient table and Pearson correlation coefficient table of NTL density in Indian state after excluding two megacities.

In 2023, approximately 86 percent of the population in Papua New Guinea were living in rural areas. In comparison, approximately eight percent of the population in Japan were living in rural areas that year. Urbanization and development Despite the desirable outcomes that urbanization entails, these rapid demographic shifts have also brought about unintended changes. For instance, in countries like India, rapid urbanization has led to unsustainable and crowded cities, with half of the urban population in India estimated to live in slums. In China, population shifts from rural to urban areas have aggravated regional economic disparities. For example, the migration of workers into coastal cities has made possible the creation of urban clusters of immense economic magnitude, with the Yangtze River Delta city cluster accounting for about a fifth of the country’s gross domestic product. Megacities and their future Home to roughly 60 percent of the world’s population, the Asia-Pacific region also shelters most of the globe’s largest urban agglomerations. Megacities, a term used for cities or urban areas with a population of over ten million people, are characterized by high cultural diversity and advanced infrastructure. As a result, they create better economic opportunities, and they are often hubs of innovation. For instance, many megacities in the Asia-Pacific region offer high local purchasing power to their residents. Despite challenges like pollution, income inequality, or the rising cost of living, megacities in the Asia-Pacific region have relatively high population growth rates and are expected to expand.

Water security, the access to adequate amounts of water of adequate quality, is and will remain a hugely important issue over the next decades as climate change and related hazards, food insecurity, and social instability will exacerbate insecurities. Despite attempts made by researchers and water professionals to study different dimensions of water security in urban areas, there is still an absence of comprehensive water security measurement tools. This study aims to untangle the interrelationship between biophysical and socio-economic dimensions that shape water security in a megacity in the Global South—Kolkata, India. It provides an interdisciplinary understanding of urban water security by extracting and integrating relevant empirical knowledge on urban water issues in the city from physical, environmental, and social sciences approaches. To do so we use intersectional perspectives to analyze urban water security at a micro (respondent) level and associated challenges across and between areas within the city. The study concludes with the recommendation that future studies should make use of comprehensive and inclusive approaches so we can ensure that we leave no one behind.

Supplemental Online Material for: Potential for water balance by using rainwater: An analysis of Delhi, Megacity in India

Urbanization is a major driver of biodiversity change but how it interacts with spatial and temporal gradients to influence the dynamics of plant-pollinator networks is poorly understood, especially in tropical urbanization hotspots. Here, we analyzed the drivers of environmental, spatial, and temporal turnover of plant-pollinator interactions (interaction β-diversity) along an urbanization gradient in Bengaluru, a South Indian megacity. The compositional turnover of plant-pollinator interactions differed more between seasons and with local urbanization intensity than with spatial distance, suggesting that seasonality and environmental filtering were more important than dispersal limitation for explaining plant-pollinator interaction β-diversity. Furthermore, urbanization amplified the seasonal dynamics of plant-pollinator interactions, with stronger temporal turnover in urban compared to rural sites, driven by greater turnover of native non-crop plant species (not managed by people). Our study demonstrates that environmental, spatial, and temporal gradients interact to shape the dynamics of plant-pollinator networks and urbanization can strongly amplify these dynamics.

In 2014, the greenness index of Mumbai was about 0.41, up from about 0.39 in the year 2000. Sanjay Gandhi National Park located in northern Mumbai is spread over 104 square kilometers. Many small and large parks are spread across the city, with Aarey milk colony being the second largest green area.

Goal 11: Make cities and human settlements inclusive, safe, resilient and sustainableHalf of humanity – 3.5 billion people – lives in cities today. By 2030, almost 60% of the world’s population will live in urban areas.828 million people live in slums today and the number keeps rising.The world’s cities occupy just 2% of the Earth’s land, but account for 60 – 80% of energy consumption and 75% of carbon emissions. Rapid urbanization is exerting pressure on fresh water supplies, sewage, the living environment, and public health. But the high density of cities can bring efficiency gains and technological innovation while reducing resource and energy consumption.Cities have the potential to either dissipate the distribution of energy or optimise their efficiency by reducing energy consumption and adopting green – energy systems. For instance, Rizhao, China has turned itself into a solar – powered city; in its central districts, 99% of households already use solar water heaters.68% of India’s total population lives in rural areas (2013-14).By 2030, India is expected to be home to 6 mega-cities with populations above 10 million. Currently 17% of India’s urban population lives in slums.Data source: https://niti.gov.in/sites/default/files/SDG-India-Index-2.0_27-Dec.pdfPlease find detailed metadata here.This web layer is offered by Esri India, for ArcGIS Online subscribers, If you have any questions or comments, please let us know via content@esri.in.

Expanding cities increasingly encroach fertile farmlands, questioning the viability of maintaining agriculture within and around them. Yet, our knowledge on how urbanization influences pollinator communities and the provision of pollination services to crops is limited, especially for the urbanization hotspots of the Global South. Mango (Mangifera indica) is one of the most important fruit crops in tropical countries. To analyze the dependency of mango on its main insect pollinators, and the direct and indirect effects of urbanization and insecticides on pollinator abundance and mango yield, we conducted a pollinator exclusion experiment and sampled flower visitors on 16 mango farms spread across rural-urban landscapes in Bengaluru, a South Indian megacity. We found that allowing flowers access to ants and flying visitors (bees, hoverflies, non-syrphid flies), dramatically increased mango yield by 350%, highlighting the importance of wild insects for mango pollination. We detected a ...