The NIEMO development effort is as ambitious as any in regional science. In addition to immense data handling issues faced are the numerous conceptual and theoretical hurdles these researchers have cleared so adeptly. The volume's chapters present many of the critical areas of analysis to which analytical frameworks like NIEMO can be put, and demonstrate what can be accomplished when a group of dedicated scholars focus their collective energy on the development of computational models of complex social systems.' - Randall Jackson, Director, Regional Research Institute, West Virginia University, USThe United States has encountered increasing levels of terrorist activity and a number of significant natural disasters in this millennium, a pattern which has also occurred globally. There has been a degree of uncertainty over their impact on the national economy. A unique contribution towards mitigation is offered in this book, which develops a national economic impact model to estimate the effects of simulated terrorist attacks and real world natural disasters on individual US States and economic sectors. The model, NIEMO (The National Interstate Economic Model), examines interindustry relationships and interregional trade, and presents a multiregional input-output analysis of the economic impact resulting from these events. Students and researchers in regional science, planning, economics and geography will find this book offers an informative perspective. Practitioners, policy makers and general readers interested in public policy issues will appreciate the insights. Contributors include: J. Cho, P. Gordon, B. Lee, J.E. Moore II, Q. Pan, C. Park, J. Park, H.W. Richardson, M. Son

This book explores how to tackle the challenges of urbanization through international lessons in sustainable development and smart growth strategies. As readers will discover, smart growth offers an approach to urbanization with the aim to: improve the efficiency of land use, protect the natural and cultural environment, promote economic prosperity and improve the quality of life. Authors address various challenges experienced in China, including deepening regional imbalances, an aging population, wholesale environmental degradation and traffic congestion. China's official long-term urbanization plan sets many challenges for urban planners, these range from implementation of the plan and financing, to protection of vulnerable groups and social justice. This book brings readers up to date on the use of big data and modern technologies such as geographic information system technology (GIS). The work encompasses themes of environmental planning, community development, cultural heritage preservation, land use and transportation, urban studies, climate change, housing and community development, infrastructure planning, disaster planning and social equity. Authors present the very latest theories and practices of smart growth and offer many valuable insights to urban planners and scholars, as well as policy makers.

This book provides a comprehensive overview of the most recent development of Chinese cities. It discusses a broad range of subjects of urban planning, including environmental planning, transportation planning, historical preservation, economic development, geographic information systems (GIS) and other technological applications. China, the most populous country in the world, has experienced unprecedented urbanization in a relatively short period. During the past decades, urbanization in China has centered on land development through industrialization and investment, but it has largely ignored the prosperity and well-being of the people. Livable cities are not just those with magnificent buildings and infrastructure; they are great places where people want to live. China's recently inaugurated leaders have proposed a new model to actively and prudently enhance the quality of urbanization through compact, intelligent, and low-carbon development. It symbolizes the departure from land-centered urban development to a form of people-oriented urbanization, as China's Premier, Li Keqiang, has advocated. This new model offers a platform for planning researchers and practitioners to tackle urbanization challenges, such as social equity, environment, energy, ecological and historic preservation, affordable housing, and externalities of mega cities. Furthermore, people-oriented urbanization calls for public participation and stakeholder engagement in the planning process. This book brings together planners, designers, scholars, scientists, and government officials from China and all over the world to exchange ideas on urban regeneration.

This book discusses a range of planning and management issues related to building urban resiliency. It covers such topics as urban, environmental, and transportation planning, historical preservation, emergency relief and management, geographic information systems (GIS) and other technological applications. The book includes case studies of several cities and districts in China, including Shanghai, and a number of cities in the United States of America. Urban resiliency in the face of uncertainty is a priority for planning and governance in communities worldwide. In China, which has suffered many of the world’s most devastating floods, earthquakes, and typhoons, preparing for the threat of disaster has long been an important planning objective. Recent calamities, such as the 2008 Winter Storms, the 2008 Wenchuan Earthquake, and the 2012 Beijing Floods have only made planning for resiliency more urgent. As planners work to prepare for such events, interdisciplinary collaboration becomes increasingly important. Planners need the tools and insights offered by other fields, including both the natural and social sciences. At the same time, these interdisciplinary relationships help shape the identity of urban-rural planning in its new role as one of China’s primary academic disciplines. Thus, the nexus between planning and science is critically important in building resilient cities in China, and the Chinese planning experience can serve as an example to and benefit countries around the world.

This book explores how to tackle the challenges of urbanization through international lessons in sustainable development and smart growth strategies. As readers will discover, smart growth offers an approach to urbanization with the aim to: improve the efficiency of land use, protect the natural and cultural environment, promote economic prosperity and improve the quality of life. Authors address various challenges experienced in China, including deepening regional imbalances, an aging population, wholesale environmental degradation and traffic congestion. China's official long-term urbanization plan sets many challenges for urban planners, these range from implementation of the plan and financing, to protection of vulnerable groups and social justice. This book brings readers up to date on the use of big data and modern technologies such as geographic information system technology (GIS). The work encompasses themes of environmental planning, community development, cultural heritage preservation, land use and transportation, urban studies, climate change, housing and community development, infrastructure planning, disaster planning and social equity. Authors present the very latest theories and practices of smart growth and offer many valuable insights to urban planners and scholars, as well as policy makers.

This book presents a multiregional input-output model for the metropolitan area of Southern California, which helps to estimate the economic impact of simulated terrorist attacks on seaports, malls etc. as well as of natural disasters such as earthquakes and tsunamis. The authors also analyze the economic and social effects of metropolitan policies such as growth controls, neighborhood gentrification or road-congestion charges. The model presented in the book has evolved over a period of 25 years and requires a very substantial computer capacity.

This book provides a comprehensive overview of the most recent development of Chinese cities. It discusses a broad range of subjects of urban planning, including environmental planning, transportation planning, historical preservation, economic development, geographic information systems (GIS) and other technological applications. China, the most populous country in the world, has experienced unprecedented urbanization in a relatively short period. During the past decades, urbanization in China has centered on land development through industrialization and investment, but it has largely ignored the prosperity and well-being of the people. Livable cities are not just those with magnificent buildings and infrastructure; they are great places where people want to live. China's recently inaugurated leaders have proposed a new model to actively and prudently enhance the quality of urbanization through compact, intelligent, and low-carbon development. It symbolizes the departure from land-centered urban development to a form of people-oriented urbanization, as China's Premier, Li Keqiang, has advocated. This new model offers a platform for planning researchers and practitioners to tackle urbanization challenges, such as social equity, environment, energy, ecological and historic preservation, affordable housing, and externalities of mega cities. Furthermore, people-oriented urbanization calls for public participation and stakeholder engagement in the planning process. This book brings together planners, designers, scholars, scientists, and government officials from China and all over the world to exchange ideas on urban regeneration.

This book discusses a range of planning and management issues related to building urban resiliency. It covers such topics as urban, environmental, and transportation planning, historical preservation, emergency relief and management, geographic information systems (GIS) and other technological applications. The book includes case studies of several cities and districts in China, including Shanghai, and a number of cities in the United States of America. Urban resiliency in the face of uncertainty is a priority for planning and governance in communities worldwide. In China, which has suffered many of the world's most devastating floods, earthquakes, and typhoons, preparing for the threat of disaster has long been an important planning objective. Recent calamities, such as the 2008 Winter Storms, the 2008 Wenchuan Earthquake, and the 2012 Beijing Floods have only made planning for resiliency more urgent. As planners work to prepare for such events, interdisciplinary collaboration becomes increasingly important. Planners need the tools and insights offered by other fields, including both the natural and social sciences. At the same time, these interdisciplinary relationships help shape the identity of urban-rural planning in its new role as one of China's primary academic disciplines. Thus, the nexus between planning and science is critically important in building resilient cities in China, and the Chinese planning experience can serve as an example to and benefit countries around the world.

This book presents a multiregional input-output model for the metropolitan area of Southern California, which helps to estimate the economic impact of simulated terrorist attacks on seaports, malls etc. as well as of natural disasters such as earthquakes and tsunamis. The authors also analyze the economic and social effects of metropolitan policies such as growth controls, neighborhood gentrification or road-congestion charges. The model presented in the book has evolved over a period of 25 years and requires a very substantial computer capacity.

Freight movement is a vital and growing part of regional economy and urban transportation system. Though freight transportation has been surely of growing interest to transportation planners, it is costly and difficult to obtain freight data and develop freight models. Based on the literature and our previous research on freight transportation, this book describes a regional freight modeling system with a non-survey approach that offers an affordable and efficient way to estimate detailed freight flows from secondary data sources with reasonable accuracy. The freight data derived in the modeling system are available at low cost and easily updatable in comparison to expensive freight origin- destination survey. The estimated freight flow is loaded along with conventionally obtained passenger flow to simulate regional highway network performance. The approach has been implemented to estimate regional truck freight traffic flows in the five-county Los Angeles metropolitan area.