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Big Data Support of Urban Planning and Management
In the era of big data, this book explores the new challenges of urban-rural planning and management from a practical perspective based on a multidisciplinary project. Researchers as contributors to this book have accomplished their projects by using big data and relevant data mining technologies for investigating the possibilities of big data, such as that obtained through cell phones, social network systems and smart cards instead of conventional survey data for urban planning support. This book showcases active researchers who share their experiences and ideas on human mobility, accessibility and recognition of places, connectivity of transportation and urban structure in order to provide effective analytic and forecasting tools for smart city planning and design solutions in China.
Welfare for Autocrats
What are the costs of the Chinese regime's fixation on quelling dissent in the name of political order, or "stability?" In Welfare for Autocrats, Jennifer Pan shows that China has reshaped its major social assistance program, Dibao, around this preoccupation, turning an effort to alleviate poverty into a tool of surveillance and repression. This distortion of Dibao damages perceptions of government competence and legitimacy and can trigger unrest among those denied benefits. Pan traces how China's approach to enforcing order transformed at the turn of the 21st century and identifies a phenomenon she calls seepage whereby one policy--in this case, quelling dissent--alters the allocation of resources and goals of unrelated areas of government. Using novel datasets and a variety of methodologies, Welfare for Autocrats challenges the view that concessions and repression are distinct strategies and departs from the assumption that all tools of repression were originally designed as such. Pan reaches the startling conclusion that China's preoccupation with order not only comes at great human cost but in the case of Dibao may well backfire.
Modern Chinese Religion I (2 vols.)
A follow-up to Early Chinese Religion (Brill, 2009-10), Modern Chinese Religion focuses on the third period of paradigm shift in Chinese cultural and religious history, from the Song to the Yuan (960-1368 AD). As in the earlier periods, political division gave urgency to the invention of new models that would then remain dominant for six centuries. Defining religion as “value systems in practice”, this multi-disciplinary work shows the processes of rationalization and interiorization at work in the rituals, self-cultivation practices, thought, and iconography of elite forms of Buddhism, Daoism, and Confucianism, as well as in medicine. At the same time, lay Buddhism, Daoist exorcism, and medium-based local religion contributed each in its own way to the creation of modern popular religion. With contributions by Juhn Ahn, Bai Bin, Chen Shuguo, Patricia Ebrey, Michael Fuller, Mark Halperin, Susan Huang, Dieter Kuhn, Nap-yin Lau, Fu-shih Lin, Pierre Marsone, Matsumoto Kôichi, Joseph McDermott, Tracy Miller, Julia Murray, Ong Chang Woei, Fabien Simonis, Dan Stevenson, Curie Virag, Michael Walsh, Linda Walton, Yokote Yutaka, Zhang Zong
Geoinformatics in Sustainable Ecosystem and Society
This book constitutes the refereed proceedings of the 7th International Conference on Geoinformatics in Sustainable Ecosystem and Society, GSES 2019, and First International Conference on Geospatial Artificial Intelligence for Urban Computing, GeoAI 2019, held in Guangzhou, China, in November 2019. The 29 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 80 submissions. The papers are organized according to the following topical sections: the applications of geospatial data in the sustainable development of social economy; new approaches for earth observation data acquisition and processing; remote sensing monitoring of resources and environment and intelligent analysis; intelligent perceptions and services of spatial information; ecology, environment and social sustainable development.
Understanding China through Big Data
Chen, He and Yan present a range of applications of multiple-source big data to core areas of contemporary sociology, demonstrating how a theory-guided approach to macrosociology can help to understand social change in China, especially where traditional approaches are limited by constrained and biased data. In each chapter of the book, the authors highlight an application of theory-guided macrosociology that has the potential to reinvigorate an ambitious, open-minded and bold approach to sociological research. These include social stratification, social networks, medical care, and online behaviours among many others. This research approach focuses on macro-level social process and phenomena...
China Handbook
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New Times
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