Dr. Ko Ko Lwin
Division of Spatial Information Science
Faculty of Life and Environmental Sciences
University of Tsukuba, Japan

Biography
Dr. Ko Ko Lwin is a Researcher in the Division of Spatial Information Science, Faculty of Life and Environmental Sciences, University of Tsukuba, Japan. He obtained his Doctoral of Science degree in University of Tsukuba, Master of Engineering degree in University of Tokyo, Japan and Bachelor of Science with honors degree (Geology) in Yangon University, Myanmar. His research interest includes geospatial data acquisition methods and techniques, remote sensing, spatial analysis, GIST (GIS Science and Technology), Web-GIS and, GIS application and system development. He had been working for various Japanese geospatial industries and academic institutions for more than fifteen years and contributed many research articles to Journals of Transactions in GIS, Computers, Environment and Urban Systems, URISA Urban and Regional Information Systems Association, Journal of Geographical Information System and GISciences and Remote Sensing.

Abstract
Person Trip Data Browser and Space-Time Visualizer for Understanding Human Mobility from a Spatial Perspective

Person trips project is a joint research project with People Flow Project (PFLOW) carried out by CSIS Center for Spatial Information Science, University of Tokyo which is utilization of geospatial technologies to large scale transportation fact-finding survey project in Japan populated cities such as Tokyo, Osaka, Nagoya, Sapporo and Fukuoka, carried out by Transportation Planning Committee by every decade. The main objective of this survey is to understand the movement of people in order to improve transportation planning and management issues. In this survey, 660,000 people are randomly selected in Tokyo Metropolitan Region (TMR) and required to fill their gender, age group, occupation, trip start time and origin, trip end time and destination, transportation mode and purpose to trip. Without integrating with geospatial technologies, these survey data are very difficult to utilize in various researches and transportation planning issues. With help from modern geospatial technologies such as GIS, GPS and wireless network access, we have converted these survey data into Origin-and-Destination Data (OD Data) called OD Estimation and Route Identification and saved as CSV Comma Separated Value files. However these OD Data are quite huge to extract, manipulate and import into GIS system in order to make further spatial analysis. The main objective of our Web-based GIS Person trips Project is to provide large dataset of OD Data to transportation planners, social scientists, researchers and any spatial information users based on their research and planning issues.