Harnessing Big Data in Urban Public Space
This book advocates new and advanced methods of big data technology so as to analyze the current status of the public space development in China. In the eight chapters of this book, it introduces the theories to develop urban public space, the tools for analytics and evaluation, the cases from China especially Shanghai and global. With analytics and evaluation tools for its scale, space layout, and planning, it aims to improve the quality, efficiency and balanced development of public services such as healthcare and elementary education, serving as the reference and support for decision-making of governments.
Wanzhen Chen is an Associate Professor and Master’s Supervisor of the School of Social and Public Administration, East China University of Science and Technology. Prolific and proficient in research and teaching in behavioral health and social work, she was awarded the Outstanding PhD Graduate of Zhejiang Province, the Outstanding Achievement Prize of Science Technology of Zhejiang Province, and was selected for the Shanghai Chenguang Talent Plan and the Shanghai Magnolia Talent Plan Pujiang Project. Besides, she has published more than thirty papers, SCI index or SSCI index, and presided over seven national or provincial academic programs, including the program funded by the National Natural Science Foundation of China.
