DIVAD: A Dynamic and Interactive Visual Analytical Dashboard for Exploring and Analyzing Transport Data

• Main Authors: KAM, Tin Seong, BARSHIKAR, Ketan, TAN, Shaun Jun Hua
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Geographic Information System (GIS); Movement Data; GeoVisual Analytics; Urban Planning; MITB student; Databases and Information Systems; Data Science; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/1761; https://ink.library.smu.edu.sg/context/sis_research/article/2760/viewcontent/DIVAD_A_Dynamic_and_Interactive_Visual_Analytical_Dashboard_for_Exploring_and_Analyzing_Transport_Data_1_.pdf
• Institution: Singapore Management University

The advances in location-based data collection technologies such as GPS, RFID etc. and the rapid reduction of their costs provide us with a huge and continuously increasing amount of data about movement of vehicles, people and goods in an urban area. This explosive growth of geospatially-referenced data has far outpaced the planner’s ability to utilize and transform the data into insightful information thus creating an adverse impact on the return on the investment made to collect and manage this data. Addressing this pressing need, we designed and developed DIVAD, a dynamic and interactive visual analytics dashboard to allow city planners to explore and analyze city’s transportation data to gain valuable insights about city’s traffic flow and transportation requirements. We demonstrate the potential of DIVAD through the use of interactive choropleth and hexagon binning maps to explore and analyze large taxi-transportation data of Singapore for different geographic and time zones.