Toward Modelling Poor Cities

A world more urban... The world is undergoing massive urbanization, and is projected to increase from three to over four billion city dwellers, mostly in the developing world, within 15 years. This historic shift is producing dramatic effects on human well-being and the environment. ...but less poor Unplanned shanty-towns without basic services are not an inevitable consequence of urbanization and slums are not explained by poverty alone. Urban misery also stems from misguided policies, inappropriate legal frameworks, dysfunctional markets, poor governance, and not least, lack of political will. Urbanization and economic development go hand-in-hand and the productivity of the urban economy can and should benefit everyone. Living conditions for the urban poor can be dramatically improved with proper solutions, backed by decisive, concerted action. More Urban - Less Poor brings order to the complex and important field of urban development in developing and transitional countries. Written in an accessible style, the book examines how cities grow, their economic development, urban poverty, housing and environmental problems. It also examines how to face these challenges through governance and management of urban growth, the finance and delivery of services, and finding a role for development cooperation. This is essential reading for development professionals, researchers, students and others working on any facet of urban development and management in our rapidly urbanizing world. Published with SIDA

The decade of the 1970's has seen substantial improvement in our under standing of the determinants of urban spatial patterns. It is typical of western science and technology of the past several centuries that these advances in urban spatial analysis have resulted from the efforts of many individuals. No one of these claims to have found the answer; rather, each contributes some additional understanding of a rather complex set of inter related phenomena. All of this most recent work, in one way or another, rests on preliminary analysis work done in the previous ten to fifteen years. Those earlier efforts are the subject of this book. A very few studies of urban spatial patterns were done prior to 1960. However, it was not until then, with the coming of age of electronic data processing machinery, that work began in earnest. Many theories and theoretical models of urban form were postulated, and some were tested. Often the tests were inconclusive or unsuccessful. The theories often lacked consistency and coherence. Some of the testing was inadequate or even inappropriate. Much of the research was done amidst the turmoil (and sometimes chaos) of attempted (and often premature) application. The results were frequently incompletely described, if described at all. Yet, out of all this, there began to emerge some clearer notion of the determinants of urban spatial patterns.

In a rapidly urbanizing and globalized world, cities have been the epicentres of COVID-19 (coronavirus). The virus has spread to virtually all parts of the world; first, among globally connected cities, then through community transmission and from the city to the countryside. This report shows that the intrinsic value of sustainable urbanization can and should be harnessed for the wellbeing of all. It provides evidence and policy analysis of the value of urbanization from an economic, social and environmental perspective. It also explores the role of innovation and technology, local governments, targeted investments and the effective implementation of the New Urban Agenda in fostering the value of sustainable urbanization.

On January 30-31, 2019 the Board on Mathematical Sciences and Analytics, in collaboration with the Board on Energy and Environmental Systems and the Computer Science and Telecommunications Board, convened a workshop in Washington, D.C. to explore the frontiers of mathematics and data science needs for sustainable urban communities. The workshop strengthened the emerging interdisciplinary network of practitioners, business leaders, government officials, nonprofit stakeholders, academics, and policy makers using data, modeling, and simulation for urban and community sustainability, and addressed common challenges that the community faces. Presentations highlighted urban sustainability research efforts and programs under way, including research into air quality, water management, waste disposal, and social equity and discussed promising urban sustainability research questions that improved use of big data, modeling, and simulation can help address. This publication summarizes the presentation and discussion of the workshop.

Cities have experienced an unprecedented rate of growth in the last decade. More than half the world's population lives in urban areas, with the U.S. percentage at 80 percent. Cities have captured more than 80 percent of the globe's economic activity and offered social mobility and economic prosperity to millions by clustering creative, innovative, and educated individuals and organizations. Clustering populations, however, can compound both positive and negative conditions, with many modern urban areas experiencing growing inequality, debility, and environmental degradation. The spread and continued growth of urban areas presents a number of concerns for a sustainable future, particularly if cities cannot adequately address the rise of poverty, hunger, resource consumption, and biodiversity loss in their borders. Intended as a comparative illustration of the types of urban sustainability pathways and subsequent lessons learned existing in urban areas, this study examines specific examples that cut across geographies and scales and that feature a range of urban sustainability challenges and opportunities for collaborative learning across metropolitan regions. It focuses on nine cities across the United States and Canada (Los Angeles, CA, New York City, NY, Philadelphia, PA, Pittsburgh, PA, Grand Rapids, MI, Flint, MI, Cedar Rapids, IA, Chattanooga, TN, and Vancouver, Canada), chosen to represent a variety of metropolitan regions, with consideration given to city size, proximity to coastal and other waterways, susceptibility to hazards, primary industry, and several other factors.

Planning has seen many changes in its central concerns and approaches in response to the state of the world with which it has had to deal. It is already almost twenty-five years ago that the science of urban modelling entered the planning area. Time and innovation have inevitably brought about advances in the theory and practice of this science, the pertinence of which is clearly demonstrated by the fact that planners still often lack convincing answers to the problems confronting them. In an attempt to clarify and tackle these problems, the present volume analyzes the role, development and applications of models in urban systems.

The City in the Developing World is a comprehensive and up-to-date introduction to urbanisation in developing countries. The goal of this text is to place an understanding of the developing world city in its wider global context. First, this is done by developing the concept of social surplus product as a key to understanding the character of the contemporary Third World city. Second, throughout this text, the city in developing areas is centrally placed in the context of global, social, economic, political and cultural change. Thus, the important themes of globalisation, modernity and postmodernity are examined both in relation to the structure of sets of towns and cities which make up the national or regional urban system, and in respect of ideas and concepts dealing with the morphology, structure and social patterning of individual urban areas. The City in the Developing World is a core text for second and third year undergraduates in the fields of geography, development studies, planning, economics and the social sciences, taking options which deal with development issues, development theory, gender and development and Third World development.

Urban development and migration from rural to urban areas are impacting prime agricultural land and natural landscapes, particularly in the less developed countries. These phenomena will persist and require serious study by those monitoring global environmental change. To address this need, various models have been devised to analyze urbanization a