Program | ICA Commission on Geospatial Analysis and Modeling

Program

**Location**: Room Delaware A/B, Washington Marriott Wardman Park Hotel
July 1, 2017
13:30 – 13:40	Welcome
13:40 -15:20	Session 1 Theories and Data Models Session chair: Xiaobai A. Yao
	Bin Jiang , University of Gävle, Sweden A Topological Representation for Predicting Human Activities using Big Data Haiyun Ye and Keith Clarke Spatial, Temporal, and Thematic Structure of Volunteered Geographic Information in Social Media Following Different Catastrophic Events Thomas Gründemann and Dirk Burghardt Event-Oriented Taxonomy of Users in Location Based Social Networks Paul Goodhue and Ioannis Delikostidis Modelling Information Quality and Source Reliability to Improve the Trust Of Volunteered Geographic Information
15:20 – 15:50	Coffee break
15:50 – 17:55	Session 2. Participation and User Tasks Session Chair: Jukka Krisp
	MatthewTenney, G, B. Hall and Renee Sieber Machines Learning to Engage: Citizens’ Geosocial Media to City Participation Ayberk Kocatepe,Mehmet Baran Ulak Ulak, Javier Lores, Eren Erman Ozguven and Anil Yazici Assessing the Factors that Affect the Public Engagement with Department of Transportation Twitter Accounts Jayakrishnan Ajayakumar Spatio-temporal analysis of public response through Social media during extreme events Marcela Suarez and Keith Clarke Leveraging Spatio-Temporal Information to Enrich Thematic Clustering of Twitter Posts
18: 30 – as your wish Optional Group Dinner
July 2nd
8:30 – 10:10	Session 3. Traffic Modelling Session chair: Song Gao
	Yi Cheng, Haosheng Huang, Oliver Burkhard and Robert Weibel Does Considering the Underlying Geographic Context Help to Improve the Accuracy of Passenger Flow Forecasting? A Case Study with Spatially-Extended Graph Neural Network and Location-Based Passenger Counting Data Hai-Ping Zhang, Guo-An Tang, Li-Yang Xiong and Xing-Xing Zhou Big data analysis for resident mobility characteristics by using multi-source urban traffic tracking data Andreas Keler, Jukka Krisp and Linfang Ding Towards detecting travel-mode- and commuter-specific destination hotspots – comparing the boro taxi service with Citi Bike in NYC Qiulei Guo and Hassan Karimi Human Mobility Prediction Through Trajectory Distribution
10:10 – 10:40	Coffee Break
10:40 – 12:20	Session 4. Analyzing Human Dynamics Session Chair: Haosheng Huang
	Caglar Koylu Integrating Topic Modeling and Network Smoothing to Uncover Space-Time Semantics of Interpersonal Communication: An Analysis Of Twitter User Mentions Xuebin Wei and Xiaobai Yao Analyzing Human Activities in Spatial-Social Dimensions Robert Olszewski Digital Agora – Using Spatial Data Mining Algorithms to Process Geographic Information and Social Media Data Hyunwoo Hwangbo, Jonghyuk Kim, Soyean Kim, and Sungjun Kim Customer Movement Pattern Analysis Using Location-based Tracking Data
12:20 – 14:00	Lunch Break
14:00 – 15:40	Session 5. Research Applications Using Location-based Big Data Session Chair: Bin Jiang
	Huina Mao, Gautam Thakur, Kevin Sparks, Jibonananda Sanyal and Budhendra Bhaduri Mapping Real-time Power Outage from Social Media Jie Shen, Mi Wan, Haosheng Huang, Kaiyue Zang and Yiqiu Tan Assessing and Mapping of Road Surface Roughness based on GPS and Accelerometer Sensors on Bicycle-Mounted Smartphone Lei Zou, Nina Lam, Heng Cai and Yi Qiang Visualizing and Mining Social Media Data for Improved Understanding of Disaster Resilience Haibo Ma, Manman Wang, Zhijun Gao and Di Wang Location Analysis of Terminal Logistics Distribution Center Based On Geographic Spatial Suitability
15:40-16:10	Coffee Break
16:10-17:50	Session 6. Understanding Places with Location-based Big Data Session Chair: Caglar Koylu
	Rui Zhu, Krzysztof Janowicz and Song Gao Quantifying the Attractiveness of Destinations for Modeling Travel Patterns Using Location-Based Social Media Data Yingjie Hu, Huina Mao and Grant McKenzie A NLP and Geospatial Workflow for Harvesting Local Place Names from Geotagged Social Web Myeong Lee, Grant McKenzie and Rajat Aghi Exploratory Cluster Analysis of Urban Mobility Patterns to Identify Neighborhood Boundaries Hua Liao and Weihua Dong Identifying User Tasks in Map-based Pedestrian Navigation from Eye Tracking Data
17:50 – 18:00 Closing

Each talk has 20 minutes for the presentation, followed by 5-minutes of Q&A time