scholarly journals Perspectives on urban conditions and population health

2005 ◽  
Vol 21 (3) ◽  
pp. 949-957 ◽  
Author(s):  
David Vlahov ◽  
Sandro Galea ◽  
Emily Gibble ◽  
Nicholas Freudenberg

The majority of the world's population will live in cities in the next few years and the pace of urbanization worldwide will continue to accelerate over the coming decades. While the number of megacities is projected to increase, the largest population growth is expected to be in cities of less than one million people. Such a dramatic demographic shift can be expected to have an impact on population health. Although there has been historic interest in how city living affects health, a cogent framework that enables systematic study of urban health across time and place has yet to emerge. Four alternate but complementary approaches to the study of urban health today are presented (urban health penalty, urban health advantage, urban sprawl, and an integrative urban conditions model) followed by three key questions that may help guide the study and practice of urban health in coming decades.

2021 ◽  
pp. 57-61
Author(s):  
Arunima Dasgupta

Given that urbanization is considered as one of the most signicant anthropogenic alteration of the overall environment, the present study attempts to understand spatial-temporal characteristics of urban population growth and its implications on land-use as well as understanding their relationship with environmental degradation with special focus on the Kolkata, the capital city of West Bengal. Urbanization is one of the major driving forces behind the development of today's land-use and land cover system. A large number of contemporary urbanization has been characterized as urban sprawl namely in an extensive form of land-use for urban uses that have environmentally detrimental effects. There are indications of Urban sprawl and city expansion in our Study Area of Kolkata indicating expansion of settlements and built-up area and thus causing environmental degradation in the city area. The process of urbanization always had signicant implications that can affect cumulative changes in demographic characteristics and/or transformation of the physical environment; unplanned, unsystematic and rapid urbanization can cause intense impacts on various environmental aspects, specically on land and air and water. A thorough understanding of the dynamic relationship between urbanization and its generated land-cover changes thus becomes completely essential for managing environmental changes and enabling sustainability of the environment and its resources.


2015 ◽  
Vol 31 (suppl 1) ◽  
pp. 9-13 ◽  
Author(s):  
Ana V. Diez Roux

Abstract This paper reviews the potential utility of using the concepts and tools of systems to understand and act on health in cities. The basic elements of systems approaches and the links between cities as systems and population health as emerging from the functioning of a system are reviewed. The paper also discusses implications of systems thinking for urban health including the development of dynamic conceptual models, the use of new tools, the integration of data in new ways and the identification of data gaps, and the formulation of different kinds of questions and identification of new policies. The paper concludes with a review of caveats and challenges.


2013 ◽  
Vol 12 ◽  
pp. 50-56
Author(s):  
Bikash Kumar Karna ◽  
Umesh Kumar Mandal ◽  
Ashutosh Bhardwaj

Urban sprawl refers to the urbanization extent, which is mainly caused by population growth and large scale migration and it is a global phenomenon. In developing countries like Nepal, where the population growth and internal migration rate in urban area is high, it has posed serious implication on the resources of the region. Effective and efficient infrastructure planning of an urban environment require information related to the rate of urban growth along with its trend, pattern and extent of urban sprawl. The pattern and extent of urban sprawl is identified and modeled using remotely sensed data along with collateral data. RS and GIS are used to analyze and interpret the urban land use changes. Cellular Automate Markov (CA-Markov) process is used to urban sprawl modeling to identify possible pattern of sprawl and subsequently predict the nature of future sprawl Nepalese Journal on Geoinformatics -12, 2070 (2013AD): 50-56


2020 ◽  
pp. 336-338
Author(s):  
Gina S. Lovasi

We set out in this text to articulate a range of foundational concepts, research tools and engagement strategies relevant to urban health, all with the intent to provide both knowledge and skills to have an impact on population health in cities across the globe. We hope the four inter-related parts of the book have helped to introduce such a toolkit and enticed you to ponder other questions along the way. To summarize our thinking on this, one might now say that for urban health training, we would expect emerging professionals be ready to:...


2017 ◽  
Vol 79 ◽  
pp. 73-83 ◽  
Author(s):  
Giovana Mira de Espindola ◽  
Eduilson Lívio Neves da Costa Carneiro ◽  
Antonio Cardoso Façanha

Author(s):  
M. Farooq ◽  
M. Muslim

The urban areas of developing countries are densely populated and need the use of sophisticated monitoring systems, such as remote sensing and geographical information systems (GIS). The urban sprawl of a city is best understood by studying the dynamics of LULC change which can be easily generated by using sequential satellite images, required for the prediction of urban growth. Multivariate statistical techniques and regression models have been used to establish the relationship between the urban growth and its causative factors and for forecast of the population growth and urban expansion. In Srinagar city, one of the fastest growing metropolitan cities situated in Jammu and Kashmir State of India, sprawl is taking its toll on the natural resources at an alarming pace. The present study was carried over a period of 40 years (1971–2011), to understand the dynamics of spatial and temporal variability of urban sprawl. The results reveal that built-up area has increased by 585.08 % while as the population has increased by 214.75 %. The forecast showed an increase of 246.84 km<sup>2</sup> in built-up area which exceeds the overall carrying capacity of the city. The most common conversions were also evaluated.


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