[Geo4All] Reminder: Cities Special Issue "Big Data and Urban Planning" Abstract Due 2/28

[Xinyue Ye]

*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,



To be published in the *Cities*



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 support

Big data and urban analytics

Big data and urban computing

Big data and city modelling

Big data and city system

Big data and urban society analysis

Big data and transport

Big data and healthy city

Big data and green city



*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 at pku.edu.cn) by *February 28, 201**9*. 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.



*Important target dates:*

·       Submit abstracts to the Editor (pengjun.zhao at pku.edu.cn): *February
28, 201**9*

·       The online submission system will be open: *March 10, 2019. *

·       The deadline for submission: *September 30, 2019*

·       Expected online publication: *December 30**, 2019 *



Guest Editors:

Anthony G.O. Yeh, University of Hong Kong

Qingquan Li, Shenzhen University

Michael Batty, University College London

Xinyue Ye, New Jersey Institute of Technology (Managing Guest Editor)

Sarah Williams, Massachusetts Institute of Technology


Xinyue Ye, Ph.D.
Director, Urban Informatics & Spatial Computing Lab,
Core Faculty, Center for Big Data,
Associate Professor of Spatial Data Science, College of Computing,
New Jersey Institute of Technology
https://informatics.njit.edu/faculty/xye
Google Scholar: https://goo.gl/iCdYB4
ResearchGate: https://goo.gl/udvnKo
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