Symposium on New Horizons in Human Dynamics Research: Smart Cities and Urban Computing II

Type: Paper
Theme: Hazards, Geography, and GIScience
Sponsor Groups: Geographic Information Science and Systems Specialty Group, Spatial Analysis and Modeling Specialty Group, Cyberinfrastructure Specialty Group
Poster #:
Day: 4/10/2018
Start / End Time: 12:40 PM / 2:20 PM (MDT)
Room: Bayside A, Sheraton, 4th Floor
Organizers: Xinyue Ye, Shaowen Wang, Victor Mesev
Chairs: Qingyun Du


In today’s geospatially connected world, data-driven urban computing and analytics have become increasingly essential to understand coupled environmental and human systems. The complexities of such systems and their connectivity at various spatial and temporal scales have posed daunting challenges to effective solutions to a variety of urban sustainable development issues. Due to the rapid progress of CyberGIS and spatial data science, social big data have presented significant opportunities for urban research. Rigorous analysis of such data depicting complex socioeconomic events is likely to open up a rich context for advancing urban sciences and policy interventions in urban environments. Interdisciplinary approaches combining rich and complex spatial data, analysis and models are highly demanded to ignite transformative geospatial innovation and discovery for enabling effective and timely solutions to challenging urban problems. This session aims to shed light on the opportunities, challenges and solutions of integrating social big data with the latest CyberGIS and spatial data science advances for smart cities and urban computing.

The session will provide a forum on addressing theoretical, methodological, and empirical frontiers in analyzing social and urban big data with fine spatial, temporal, and thematic resolutions. In particular, we encourage (but are not limited to) the following topics:
1. Multi-scale modeling of human mobility
2. Urban disaster and emergency
3. Indoors GIS and smart buildings
4. CyberGIS analytics for urban big data
5. Spatial theories of smart cities
6. Urban safety, security, and privacy
7. Transportation and mobility data analysis
8. Urban data fusion
9. Urban data mining


Type Details Minutes Start Time
Presenter Qingyun Du*, Wuhan University, Yanjun Qiao, Wuhan University, Outdoor Augmented Reality with Geo-Object Identification based on Deep Learning Network 20 12:40 PM
Presenter Spencer Elford*, University of Toronto: Mississauga, Matthew Adams, University of Toronto: Mississauga, Air Pollution Exposure Risk of School-Age Children: Using GIS Based Modeling to examine how commute mode affects exposure risk during the daily school commute. 20 1:00 PM
Presenter Greg Rybarczyk*, University of Michigan-Flint, A spatiotemporal trend analysis of mode-choice happiness using Twitter and GIS 20 1:20 PM
Presenter Chen-Chieh Feng*, Geography, National University of Singapore, Zhou Guo, Smart Systems Institute, Automating point cloud processing for smart campus through machine learning 20 1:40 PM
Presenter Qingsong Liu*, Kent State University, Xinyue Ye, Kent State University, Jay Lee, Kent State University, Evaluation of the Attractiveness of Point-of-Interests to Tourists 20 2:00 PM

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