Handling non-aggregated person trip data with Web-GIS

Yuji MURAYAMA; Koko LWIN; Konstantin GREGER; Ronald ESTOQUE; Takafumi KUBO

Presentation information

Oral

Symbol H (Human Geosciences) » H-TT Technology & Techniques

[H-TT34_28PM1] Geographical Information Systems

Mon. Apr 28, 2014 2:15 PM - 4:00 PM 422 (4F)

Convener:*Takashi Oguchi(Center for Spatial Information Science, The University of Tokyo), Yuji Murayama(Graduate School of Life and Environmental Sciences), Ryosuke Shibasaki(Center for Spatial Information Science, the University of Tokyo), Shin Yoshikawa(Faculty of Engineering, Osaka Institute of Technology), Chair:Shin Yoshikawa(Faculty of Engineering, Osaka Institute of Technology), Yuji Murayama(Graduate School of Life and Environmental Sciences)

3:30 PM - 3:45 PM

[HTT34-06] Handling non-aggregated person trip data with Web-GIS

*Yuji MURAYAMA¹, Koko LWIN¹, Konstantin GREGER¹, Ronald ESTOQUE¹, Takafumi KUBO¹ (1.Graduate School of Life and Environmental Sciences )

Keywords:GIS, person trip, big data, spatial analysis, WebGIS, visualization

Understanding of human mobility from spatial perspective is important for urban transport planners, human geographers, social scientists and other spatial information users. Advances in geospatial data collection methods and communication devices, we can nowadays collect, store and integrate large amounts of data with GPS and GIS technologies, including mobile phone log data, real-time weather information, person flow data etc. However, handling of these Spatial Big Data require computational power and considerable period of time. Extraction of information from these Spatial Big Data is also challenging for end users in terms of time consuming and requires knowledge on spatial data handling and processing. Here we construct a Web-GIS to extract, visualize and analyze the Person Trip Survey (PTS) data by providing common GIS analytical functions to novice to expert users in timely manner.