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High Speed Rail and China's New Economic Geography presents an
analytical approach to assessing the socioeconomic impact of high
speed rail in China, with an emphasis on capturing the spatial
spillover effects of rail infrastructure development on China's
economic geography in terms of land use, housing market, tourism,
regional disparity, modal competition, the economy and environment.
The assessment involves a multilevel spatial analysis approach at
both the national and the regional level. The methods include
partial equilibrium analysis characterized by a spatial econometric
modeling and the state-of-the-art computable general equilibrium
modeling. It provides a basis for policy decision-making and
operational considerations. Academic scholars and students who are
specialized in regional economics, urban planning, public policy,
and transportation will find this book useful. Practitioners and
policy-makers will also find this book valuable as the empirical
findings provide implications for future transportation planning
and development.
After a decade of steady investment and construction, Chinese
railways have evolved into an era of high-speed. This book has two
objectives. The first is to introduce the Chinese railway system to
an international audience and document the evolutionary process of
railway development in China. For the first time, this book
clarifies the Chinese experience with HSR deployment and details
the economic and physical achievements and related managerial
issues and institutional challenges. The second objective is to
discuss and analyze critical concerns regarding Chinese railway
operations, management and institutional structure. This book
analyses best practices of railway reform, reform strategies and
considers how to improve China's related institutions. This
research reflects on experiences in other countries and policy
implications for the Chinese railway system. The book makes
recommendations for how to improve the capability and capacity of
institutions and organizations, in order to achieve sustainable
development of the Chinese HSR system.
Recent technological advancements and other related factors and
trends are contributing to the production of an astoundingly large
and rapidly accelerating collection of data, or 'Big Data'. This
data now allows us to examine urban and regional phenomena in ways
that were previously not possible. Despite the tremendous potential
of big data for regional science, its use and application in this
context is fraught with issues and challenges. This book brings
together leading contributors to present an interdisciplinary,
agenda-setting and action-oriented platform for research and
practice in the urban and regional community. This book provides a
comprehensive, multidisciplinary and cutting-edge perspective on
big data for regional science. Chapters contain a collection of
research notes contributed by experts from all over the world with
a wide array of disciplinary backgrounds. The content is organized
along four themes: sources of big data; integration, processing and
management of big data; analytics for big data; and, higher level
policy and programmatic considerations. As well as concisely and
comprehensively synthesising work done to date, the book also
considers future challenges and prospects for the use of big data
in regional science. Big Data for Regional Science provides a
seminal contribution to the field of regional science and will
appeal to a broad audience, including those at all levels of
academia, industry, and government.
Recent technological advancements and other related factors and
trends are contributing to the production of an astoundingly large
and rapidly accelerating collection of data, or 'Big Data'. This
data now allows us to examine urban and regional phenomena in ways
that were previously not possible. Despite the tremendous potential
of big data for regional science, its use and application in this
context is fraught with issues and challenges. This book brings
together leading contributors to present an interdisciplinary,
agenda-setting and action-oriented platform for research and
practice in the urban and regional community. This book provides a
comprehensive, multidisciplinary and cutting-edge perspective on
big data for regional science. Chapters contain a collection of
research notes contributed by experts from all over the world with
a wide array of disciplinary backgrounds. The content is organized
along four themes: sources of big data; integration, processing and
management of big data; analytics for big data; and, higher level
policy and programmatic considerations. As well as concisely and
comprehensively synthesising work done to date, the book also
considers future challenges and prospects for the use of big data
in regional science. Big Data for Regional Science provides a
seminal contribution to the field of regional science and will
appeal to a broad audience, including those at all levels of
academia, industry, and government.
This book examines major policy and planning issues in development
studies from the regional science perspective. It investigates
questions such as: "How are communities able to deal with
uncertainties raised by conflicts, technology, and external shocks
in the process of development?"; "How can nations achieve
sustainable development in terms of resource allocation and
management?"; and "How can developing countries improve their
economic competitiveness while maintaining the objectives of
equitable and coordinated growth among different regions?" using
case studies that focus on different subfields, like
infrastructure, environment, data science, sustainability and
resilience. The book is organized in three parts. Part I clarifies
fundamental issues regarding development studies and regional
science in general, while Part II includes several case studies
that address development-related opportunities and challenges with
a focus on Asian countries. Lastly, Part III offers a global
perspective and explores development experiences from countries
throughout the world. Featuring contributions by leading academics
and practitioners working at various organizations linked to
international development, and including multidisciplinary
analyses, the book appeals to students who are interested in
development studies and regional science. It also offers planners
and policymakers fresh insights into regional economic development.
This book examines major policy and planning issues in development
studies from the regional science perspective. It investigates
questions such as: "How are communities able to deal with
uncertainties raised by conflicts, technology, and external shocks
in the process of development?"; "How can nations achieve
sustainable development in terms of resource allocation and
management?"; and "How can developing countries improve their
economic competitiveness while maintaining the objectives of
equitable and coordinated growth among different regions?" using
case studies that focus on different subfields, like
infrastructure, environment, data science, sustainability and
resilience. The book is organized in three parts. Part I clarifies
fundamental issues regarding development studies and regional
science in general, while Part II includes several case studies
that address development-related opportunities and challenges with
a focus on Asian countries. Lastly, Part III offers a global
perspective and explores development experiences from countries
throughout the world. Featuring contributions by leading academics
and practitioners working at various organizations linked to
international development, and including multidisciplinary
analyses, the book appeals to students who are interested in
development studies and regional science. It also offers planners
and policymakers fresh insights into regional economic development.
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