The Second International Workshop on Smart Cities and Urban Analytics (UrbanGIS) 2016

OCTOBER 31, 2016

Paper Submission: September 6, 2016 September 13, 2016 (EXTENDED)

Notification of Acceptance: October 2, 2016

Camera Ready Paper Due: October 9, 2016

Paper Submission Site:



Welcome to the Second International Workshop on Smart Cities and Urban Analytics 2016, in conjunction with the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016)

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


Submission Guidelines

Submissions should be at most 8 pages for full papers and at most 4 pages for short papers/work-in-progress, formatted according to ACM formatting guidelines. Papers will be evaluated by the program committee members for the significance and relevance of their research contributions, as well as their presentation. Short papers are expected to be work in progress or of smaller scale but the same evaluation criteria will be applied as for full papers.


Workshop Organizers

  • Huy T. Vo, CCNY/NYU-CUSP (General Chair)
  • Harish Doraiswamy, NYU CDS

Steering Committee

  • ­Juliana Freire, New York University
  • Claudio T. Silva, New York University

Program Committee

  • Alex Chohlas-Wood, New York Police Department
  • ­Theo Damoulas, University of Warwick
  • Bill Howe, University of Washington
  • Rishee Jain, Stanford University
  • James T. Klosowski, AT&T Labs – Research
  • Marcos Lage, Federal Fluminense University
  • Beibei Li, Carnegie Mellon University
  • Carlos Scheidegger, University of Arizona
  • Mai Vu, Tufts University
  • Lucien Wilson, Kohn Pedersen Fox Associates PC
  • Zheng Yang, Stanford University
  • Jianting Zhang, City College of New York
  • Kai Zhao, New York University
  • Yu Zheng, Microsoft Research

Invited Speaker
Harish Doraiswamy: Dr. Doraiswamy is a Research Scientist at the NYU Center for Data Science and a Research Assistant Professor of Computer Science and Engineering at New York University. He received his Ph.D. in Computer Science and Engineering from the Department of Computer Science and Automation at Indian Institute of Science, Bangalore. His research lies in the intersection of computational topology, big data visualization, and databases, with the focus on the analyses of large spatial and spatial-temporal data sets. His recent research has focused on designing interactive visual analytics techniques to guide users in the exploration of large urban data sets, and automatically understanding the relationships across multiple such data sets.


Technical talks are 15 minutes each including time for Q&A.

OCTOBER 31, 2016

08:00-09:00 : Breakfast and Registration

08:50-09:00 : Opening Remarks

09:00-10:30 : Session I

Trajbase: Searching Trajectories in Multi-region [Slides]
Renjie Zheng, Qin Liu, Hanjun Mao, Hongming Zhu, and Weixiong Rao

A Feature-Based Method for Traffic Anomaly Detection
Youcheng Wang, Jian Xu, Ming Xu, Ning Zheng, Jinsheng Jiang and Kaiwei Kong

Route Planning for Locations Based on Trajectory Segments
Jinsheng Jiang, Chong Xu, Jian Xu, Ming Xu, Ning Zheng and Kaiwei Kong

Combining Maps and Street Level Images for Building Height and Facade Estimation
Jiangye Yuan and Anil Cheriyadat

Analysis of Smart Card Data for Understanding Spatial Changes in Consumption-oriented Human Flows [Slides]
Takashi Nicholas Maeda, Junichiro Mori, Fujio Toriumi and Hirotada Ohashi

Plenum on Mobility and Spatial Matching

10:30-11:00 : Coffee Break

11:00-12:00 : Invited Talk

The Shape of Urban Data: What does it tell about a City? [Slides]
Harish Doraiswamy

12:00-14:00 : Lunch Break

14:00-15:30 : Session II

Ontology-based Urban Data Exploration [Slides]
Booma Sowkarthiga Balasubramani, Vivek Shivaprabhu, Smitha Krishnamurthy, Isabel Cruz and Tanu Malik

Data-Driven Benchmarking of Building Energy Performance at the City Scale [Slides]
Zheng Yang, Jonathan Roth and Rishee K. Jain

A spectral analysis of crimes in San Francisco
Luca Venturini and Elena Baralis

The Hidden Styles of the Cities: An Analysis of Geolocated Airbnb Rental Images in Ten Major Cities
Sohrab Rahimi, Clio Andris and Xi Liu

Exploiting mobile phone data for multi-category land use classification in Africa
Huina Mao, Gautam Thakur and Budhendra Bhaduri (presented by Kevin Sparks)

Plenum on Urban Informatics and Data Science

15:30-16:00 : Coffee Break

16:00-16:10 : Closing Remarks

16:10-17:00 : Open Discussion and Interactive Demos