Call for Papers:
Special Issue on Big Data and Urban Planning
Guest Editors: Anthony G.O. Yeh, Qingquan Li, Michael Batty, Xinyue Ye, Sarah Williams.
The city grows as a system with different sub-systems and sectors which co-exist and interact with each other. Cities should be treated as systems of networks and flows instead of being simply viewed as places in space. Urban planning approaches and methods have been engaged in coping with this type of complexity in the city since the 1980s.
The past decades have witnessed a rapid change in economy, technologies, environment and society in many countries. In today’s increasingly connected world of virtual, perceived, and real spaces, big data-driven urban computing and analytics have become essential to tackle these fundamental issues. New information technologies and changing lifestyles create new opportunities for urban planning in terms of its theory, approaches and evaluation. Computers have been embedded into almost every conceivable type of object as the Internet of Things (IoT), generating unprecedented quantities of data. The growth of big data is shifting the emphasis from longer term strategic planning to short-term thinking about how cities function and can be managed, although with the possibility that over much longer periods of time, this kind of big data will become a source for information about every time horizon. However, in the history of urban studies and planning, most theory and applications have focused on the long term (i.e., months and years) instead of short term (i.e., minutes and hours). Hence, big urban data calls for big and new theory, because data and associated applications without theory will not take us very far.Big data has enriched our experiences of how cities function and is offering many new opportunities for social interaction and more informed decision-making with respect to our knowledge of how best to interact in cities. At the same time, spurious correlations will emerge from the growing size of data. Hence, the complexities of urban systems and their connectivity at various spatial, temporal, and semantic scales are posing daunting challenges to researchers and decision-makers in urban planning and studies. Due to the rapid progress of information and communications technology, the emergence of open and new data available from various sources have also presented significant opportunities for urban research and policy-making. Rigorous analysis of such data depicting complex socioeconomic dynamics is likely to open up a rich context for advancing urban science and policy interventions. Interdisciplinary approaches combining with complex spatial data, analysis, and models are urgently needed to ignite transformative innovation and discovery for enabling effective and timely solutions to challenging urban problems. This special issue aims to highlight the challenges, opportunities, and solutions of a synthesized urban planning framework based on ever-increasing amounts of large-scale diverse data and computing power.Smart city practice leads to bigger data and urban planning challenges/opportunities in the automated city future. Batty (2018) argues, “the notion of the smart city of course conjures up these images of such an automated future. Much of our thinking about this future, certainly in the more popular press, is about everything ranging from the latest App on our smart phones to driverless cars while somewhat deeper concerns are about efficiency gains due to the automation of services ranging from transit to the delivery of energy”. The urban sciences are undergoing a dramatic shift towards analyzing ever-increasing amounts of large-scale diverse data near real time. This new perspective might change what we plan and the way we might plan the city. Methods developed in the mainstream urban disciplines have gradually recognized the challenges posed by big data and computing constraints. Therefore, much effort should be devoted to identifying urban planning applications of massive impact, of fundamental importance, and requiring the latest computing paradigm, and interdisciplinary approaches. Hence more studies will eventually pave the way for the systematic implementation of new technologies in the computational urban sciences. Papers in this special issue are expected to advance theories, methods, or applications that improve the integration of big data and urban planning. We welcome submissions from interdisciplinary and multidisciplinary research teams.
An international symposium of Big Data and Urban Planning will also be organized in July 2019 in Beijing China by the editorial office of Cities. The location and date will be announced later.
Appropriate topics in this special issue
include (but are not limited to):
This special issue invites the latest research in the opportunities, challenges and solutions of using big data for urban planning. Possible topics may include but are not limited to:
Big data and new urban theories Big data and planning evaluation Big data and urban policy-making supportBig data and urban analyticsBig data and urban computing Big data and city modelling Big data and city systemBig data and urban society analysis Big data and transportBig data and healthy cityBig data and green city
02
Submission procedure:
Interested authors should notify the guest editors of their intention to submit a paper contribution by sending the title and a 250 word abstract to editor (pengjun.zhao@pku.edu.cn) by February 28, 2019. The deadline for submission of full paper is September 30, 2019. All manuscripts are subject to the normal Cities review process. For author instructions, please refer to the Cities journal homepage. All manuscripts, including support materials, must be submitted using the journal's online Manuscript Central site. Please indicate this special issue as the target issue in the submission process. First-time users of the Manuscript Central site must register themselves as an Author. For questions, please contact the guest editors.
03
Important target dates:
Submit abstracts to the Editor (pengjun.zhao@pku.edu.cn): February 28, 2019
Online submission system opens: March 10, 2019.
Deadline for submission will be: September 30, 2019
Expected online publication: December 30, 2019
04
Special Issue Guest Editors:
Anthony G.O. Yeh, University of Hong Kong
Anthony G.O. Yeh is the Chair Professor of Department of Urban Planning and Design, Director of the Geographic Information Systems (GIS) Research Centre and the Deputy Convenor of Contemporary China Studies Strategic Research Area of University of Hong Kong.
His main areas of specialization are urban planning and development in Hong Kong, China, and SE Asia, and the applications of geographic information systems in urban and regional planning. He was elected as an Academician of the Chinese Academy of Sciences in 2003, Fellow of TWAS (The Academy of Sciences for the Developing World) in 2010, and Academician of the Academy of Social Sciences in UK in 2013.
Qingquan Li, Shenzhen University
Qingquan Li is the President of Shenzhen University. He was elected as a Fellow of TWAS (The Academy of Sciences for the Developing World) in 2010. He is a professor at the College of Information Engineering of Shenzhen University. His main areas of specialization are Geographic Information Systems (GIS) and intelligent transport.
Michael Batty, University College London
Michael Batty is an Emeritus Professor of Planning in the Centre for Advanced Spatial Analysis of the Faculty of the Built Environment at University College London. His research work involves the development of computer models of cities and regions, and he has published many books and articles in this area. His book Cities and Complexity (MIT Press, Cambridge, MA, 2005) won the Alonso Prize of the Regional Science Association in 2010. His most recent books are The New Science of Cities (MIT Press, Cambridge. MA, 2013) and the edited volumes Virtual Geographic Environments (ESRI Press, Redlands, CA, 2011) and Agent Based Models of Geographical Systems (Springer, Berlin, 2012). He is editor of the journal Environment and Planning B: Planning and Design.
Xinyue Ye, New Jersey Institute of Technology
Xinyue Ye is an Associate Professor in College of Computing at New Jersey Institute of Technology, where he directs Urban Informatics and Spatial Computing Lab. He models the space-time perspective of socioeconomic inequality and human dynamics for applications in various domains, such as economic development, disaster response, transportation and land use, public health and urban crime. He won the national first-place research award from University Economic Development Association in 2011 and received the Regional Development and Planning emerging scholar award from AAG in 2012.
Sarah Williams, Massachusetts Institute of Technology
Sarah Williams is an Associate Professor of Technology and Urban Planning at the School of Architecture and Planning (SA+P). She also is Director of the Civic Data Design Lab at MIT's School of Architecture and Planning. The Civic Data Design Lab works with data, maps, and mobile technologies to develop interactive design and communication strategies that expose urban policy issues to broader audiences. Her main areas of specialization are landscape architecture and natural systems, urban information, technology, and media and analytics.
更多信息请进入链接:
https://www.journals.elsevier.com/cities/call-for-papers/call-for-papers-special-issue-on-big-data-and-urban-planning
(点击“阅读原文”即可跳转)
更多内容,请点击微信下方菜单即可查询。
请搜索微信号“”关注。
Email:@gmail.com
Emaillist: BCL@freelist.org
新浪微博:
微信号:
网址: http://www..com
责任编辑:小夹子