Space-time Visualizer Understanding Human Mobility from a Spatial - PowerPoint PPT Presentation

Division of Spatial Information Science, University of Tsukuba Person Trip Data Browser and Space-time Visualizer Understanding Human Mobility from a Spatial Perspective Dr. Ko Ko Lwin and Professor Dr. Yuji Murayama Division of Spatial Information Science Faculty of Life and Environmental Sciences University of Tsukuba, Japan Jointed research project with CSIS Center for Spatial Information Science, University of Tokyo, Japan Project Homepage http://land.geo.tsukuba.ac.jp/persontrips Geospatial World Forum 2014, Geneva, Switzerland (May 5-9, 2014)

Person Trip Data Browser and Space-time Visualizer MOBILE SENSING By utilizing mobile communication devices and wireless networking, the movement of persons can be tracked or monitored by – Using their mobile log data • Internet access • • Usage of locational-based services Known as “mobile sensing” • Good for real-time person flow information and • disaster management However, these data do not convey anything about personal information such as: Age • Gender • Occupation • • Purpose Mode of transportation • etc. • Mobil ile Sensin ing Required for human geographers, social scientists, BIG-DATA IS EVERYWHERE transportation planners, etc.

Person Trip Data Browser and Space-time Visualizer OD Data (Origin-Destination Route Identification) Source: CSIS People Flow Project (PFLOW) http://pflow.csis.u-tokyo.ac.jp/getflow_e.php 660,000 records per file 1440 files for one day (Every one minute for 24 hours)

Person Trip Data Browser and Space-time Visualizer CODED VALUES ATTRIBUTE INFORMATION (FIELDS) OCCUPATION Code Value Code Value Field ID Field Name Value Description 1 Agricultural/Forestry/Fishery 9 Manager 1 PID 1 – 660,000 Unique person ID 2 Labor/Factory (Blue Collar) 10 Other Occupation 2 TNO 1, 2, 3, … Trip number 3 Sales 11 Elementary and Junior-high Student 3 SNO 1, 2, 3, … Suntrap number 4 Service 12 High School Student 4 LON Longitude Longitude position 5 Transport Service 13 College and University Student 5 LAT Latitude Latitude position 6 Security Service 14 House-wife 6 GENDER 1, 2, 9 Gender 7 Office Worker 15 No-occupation 7 AGE 1 - 17 Age group 8 Professional 16 Others (Not Categorized) 8 ZCODE Refer to a map Curent location by zone code 99 Unknown 9 OCCUP See OCCUP Person occupation 10 PURPOSE See PURPOSE Purpose to trip PURPOSE 11 MAGFAC - Adjustment Factor Code Value Code Value 12 MAGFAC2 - Adjustment Factor 1 To-From Office 9 To Send/Pick Up Activity 13 TCODE See Mode of transportation 2 To-From School 10 For Selling and Buying 3 To Home 11 For Appointment 4 For Shopping 12 To/For Work (Fixing and Repairing) ATTRIBUTE VALUE (FIELD VALUE) 5 For Short Recreation 13 To Agri./Forestry/Fishery Work GENDER 6 For Sight Seeing and Leisure 14 Other Business Purpose 7 For Medical Treatment 99 Others Code Value 1 Male 8 For Attending Class 2 Female 9 Unknown TRANSPORTATION MODE AGE GROUP Code Value Code Value Code Value Code Value 1 Walk 9 Private Bus 0 0 - 5 9 45 - 50 2 Bicycle 10 Public Bus 1 5 – 10 10 50 - 55 3 Motor-Bicycle 11 Monorail Transit 2 10 - 15 11 55 - 60 4 Motor-Bike 12 Train/Subway 3 15 - 20 12 60 - 65 5 Taxi 13 Ship 4 20 - 25 13 65 - 70 6 Passenger Vehicles 14 Aircraft 5 25 - 30 14 70 - 75 7 Mini Car 15 No Movement 6 30 - 35 15 75 - 80 8 Freight Vehicle 16 Others 7 35 - 40 16 80 - 85 99 Unknown 8 40 - 45 17 > 85

Person Trip Data Browser and Space-time Visualizer BUILDING A GEODATABASE BIGD ATA is everywhere …. Every one minute movement for 660,000 in one day (24H)

Person Trip Data Browser and Space-time Visualizer PERSON TRIP DATA BROWSER AND ANALYZER PERSON TRIP SPACE-TIME VISUALIZER http://land.geo.tsukuba.ac.jp/persontrips http://land.geo.tsukuba.ac.jp/persontrack Extract person trip by various query strings Visualize specific person travel behavior (i.e. purpose, spending time, mode of Perform spatial analysis functions (e.g. person trip by specific rail-way line, transportation use, etc.) by his/her age group and occupation business district , along coastal line, etc.) Generate Gant-Chart for his/her one day trip Visualize the data Export and integrate with other GIS applications Basemap data source: Microsoft Bing Maps

Person Trip Data Browser and Space-time Visualizer Percentage use of different transportation modes per hour for one day’s worth of trips Women shopping behavior by age group Person Trip Data Browser and Analyzer MORE DATA ANALYSIS INSTANTLY Basemap data source: Microsoft Bing Maps

Person Trip Data Browser and Space-time Visualizer Examples of a spatial query (A: Query by prefecture or administration unit; B: query by specific transportation route; C: query by specific radius Perform more spatial queries interactively Basemap data source: Microsoft Bing Maps or buffer distance and D: query by specific business zone or place of interest) PERFORM SPATIAL ANALYSIS INTERACTIVELY

Person Trip Data Browser and Space-time Visualizer Basemap data source: Microsoft Bing Maps

Person Trip Data Browser and Space-time Visualizer Calculates Gi* statistic for hot spot analysis 7:00 6:00 7:00 6:00 8:00 9:00 8:00 9:00 9:30 10:00 9:30 10:00 To work purpose To school purpose HOTSPOT ANALYSIS

Person Trip Data Browser and Space-time Visualizer Person Trip Space-Time Visualizer Generate Gant-Chart for each person one day trip activities instantly Visualize the one day trip activities of desired person age group and occupation See specific person’s one day travel behavior Visualize person spending time by trip purpose More … Basemap data source: Microsoft Bing Maps

Person Trip Data Browser and Space-time Visualizer Conclusion Public survey data is still required for transportation planning, human mobility studies, social behavior studies, etc. Handling and extracting of large scale public survey data is a big challenging for researchers, social scientists, planners, etc. Here we provide “ Person Trip Data Browser and Analyzer ” to: • Extract desire various query strings • Extract by features • Extract by geometry • Thematic mapping for quick decision making • Thematic grid mapping for movement detection • Export to ESRI Shape files and integrate with their own data and perform more GIS analytical functions We hope that will improve the studies of human mobility from a spatial perspective

THANK YOU We’re warmly invite you to visit our project sites Person Trip Data Browser and Analyzer http://land.geo.tsukuba.ac.jp/persontrips Person Trip Space-Time Visualizer http://land.geo.tsukuba.ac.jp/persontrack