UrbanGIS 2017 - Third International Workshop on Smart Cities and Urban Analytics (UrbanGIS) 2017

Second International Workshop on Smart Cities and Urban Analytics 2017, in conjunction with the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2017)
About half of humanity lives in urban environments today and that number will grow to 80% by the middle of this century; North America is already 80% in cities, and will rise to 90% by 2050. Cities are thus the loci of resource consumption, of economic activity, and of innovation; they are the cause of our looming sustainability problems but also where those problems must be solved. Smart cities are leveraging advanced analytics solutions, usually with spatio­temporal data, to support urban management and more informed decision making. Big urban data, if properly acquired, integrated, and analyzed, can take us beyond today’s imperfect and often anecdotal understanding of cities to enable better operations, informed planning, and improved policy.
Despite many efforts in tackling challenges of smart cities through big data and spatio(­-temporal) analysis, there is no standard spatio(­-temporal) data infrastructure able to support the wide range of requirements in different problem areas. This workshop will provide a forum for researchers from various domains to present their results and to work together toward developing such an infrastructure. This includes, but not limited to, techniques, policies, and standards required to acquire, process, and use spatio(­-temporal) data,particularly in the urban context.
Research Topics
We are soliciting papers (including significant work-in-progress) that describe academic research efforts as well as applications and prototypes that leverage spatial or spatio­temporal data analysis to address urban challenges. Areas of research include but are not limited to:
Application and experimental experiences in smart cities
Data indexing techniques for massive spatio­-temporal dataset
Human mobility modeling and analytics
Large­-scale visualization of urban data
Machine learning for predictive models
Parallel and distributed computing of big urban data
Safety, security, and privacy for smart cities
Smart buildings, grids, transportation, and utilities
Social computing, sensing and IoT for smart cities
Streaming/real­time processing of spatio­-temporal data
Urban informatics