DIVAD: A Dynamic and Interactive Visual Analytical Dashboard for Exploring and Analyzing Transport Data
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.
[1] Michael Wegener, "Current and Future of Land Use Planning" Land Use
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Dallas, 19-21 February 1995.
[2] Wenhuan Shi, Qing-Jie Kong, Student Member, IEEE and Yuncai Liu,
"A GPS/GIS Integrated System for Urban Traffic Flow Analysis", The
11th International IEEE Conference on Intelligent Transportation
Systems Beijing, China, October 12-15, 2008.
[3] Daniel Mcfadden, "The Measurement of Urban Travel Demand"
Journal of Public Economics, North-Holland Publishing Company,
1974.
[4] Filippova, D. Lee, J. Olea, A. VanDaniker, M. and Wongsuphasawat, K.
"Exploring Clusters in Geospatial Datasets" Tech Report HCIL-2008-26,
University of Maryland.
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org/web/packages/hexbin/).
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[7] Field, K. (2012) "Using a binning technique for point-based multiscale
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point-based-multiscale-web-maps/) Accessed 10 Sept 2012.
[8] Quantum GIS. Available at
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2012.
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[10] MapBox blog. Binning: An Alternative to Point Maps, May 25 2012.
Available at http://mapbox.com/blog/binning-alternative-point-maps/.
Accessed 31 Oct 2012.
[11] Johnson, Z. Hexbin-js. Available at
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[12] Johnson, Z. (Oct 18 2011) Hexbins!. Available at
http://indiemaps.com/blog/2011/10/hexbins/. Accessed 10 january 2012.
[13] Shneiderman, B. (2005) "The eyes have it: A task by data type
taxonomy for information visualization" IEEE Conference on Visual
Languages (VL96), pp. 336-343.
[14] ColorBrewer.org Colorbrewer: Color Advice for Maps. Available at
http://colorbrewer2.org/. Accessed 20 Sept. 2012.
[15] Robert, J.C. "State of the Art: Coodinated & Multiple Views in
Exploratory Visualization", Fifth International Conference on
Coordinated and Multiple Views in Exploratory Visualization (CMV
2007).
[16] MacEachren, A., Crawford, S., Akella, M. and Lengerich, G. (2008)
"Design and Implementation of a Model, Web-based, GIS-Enabled
Cancer Atlas". The Cartographic Journal, Vol. 45, No. 4, pp. 246-260.
[17] NComVa AB. GVA Flash Toolkit. Available at
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[18] SpatialKey.org. SpatialKey. Available at http://www.spatialkey.com/.
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[19] Stamen Design and SimpleGeo. Polymaps. Available at
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[20] Wikipedia OpenStreetMap. Available at
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[21] Bostock, M. (2012) Data-Driven Document. Available at d3js.org.
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[22] Bostock, M. Ogievetsky, V. and Heer, J. (2011) "D3:Data-Driven
Documents" IEEE Trans Vis and Comp Graphics, 17(12), pp. 2301-
2309 Dec 2011.
[23] Dewar, M (2012) Getting Started with D3. O-Reilly Media Inc. USA.
[24] Azzi, M., Caviglia, G., Ciuccarelli, P., Bonetti, E. and Bontempi, L.
(2011) "Dust: A Visualization Tool Supporting Parent-s School-Choice
Evaluation Process". Parson Journal for Information Mapping, Vol. III,
Issue 4, Fall 2011, pp. 1-7.
[25] Fujino,T. (2007) "SVG+Ajax+R: a new framework for WebGIS"
Computational Statistics, Vol. 22, pp. 511-520.
[26] Liu, L. Andris, C. and Ratti, C. (2010) "Uncovering cabdrivers-
behaviour patterns from their digital traces" Computer, Environment and
Urban Systems. Vol. 34, pp. 541-548.
[27] J. B. GODDARD, "Functional Regions within the City Centre: a Study
by Factor Analysis of Taxi Flows in Central London" Transactions of
the Institute of British Geographers, Blackwell Publishing, Mar 1970.
[28] Yeo Zhi Shu Eunice, "A Rich Internet Application (RIA) based Geo-
Visual Analytics Approach", IS470 - Guided Research in Information
Systems, Singapore Management University-s school of Information
Systems, 2009.
[1] Michael Wegener, "Current and Future of Land Use Planning" Land Use
Model Conference organized by the Texas Transportation Institute,
Dallas, 19-21 February 1995.
[2] Wenhuan Shi, Qing-Jie Kong, Student Member, IEEE and Yuncai Liu,
"A GPS/GIS Integrated System for Urban Traffic Flow Analysis", The
11th International IEEE Conference on Intelligent Transportation
Systems Beijing, China, October 12-15, 2008.
[3] Daniel Mcfadden, "The Measurement of Urban Travel Demand"
Journal of Public Economics, North-Holland Publishing Company,
1974.
[4] Filippova, D. Lee, J. Olea, A. VanDaniker, M. and Wongsuphasawat, K.
"Exploring Clusters in Geospatial Datasets" Tech Report HCIL-2008-26,
University of Maryland.
[5] Lewin-Koh, N (2011) Hexagon Binning: An Overview. (cran.rproject.
org/web/packages/hexbin/).
[6] Yale,P.B. 1968. Geometry and Symmetry. Holden-Day, San Francisco,
288 pp.
[7] Field, K. (2012) "Using a binning technique for point-based multiscale
web maps". Available at http://
http://blogs.esri.com/esri/arcgis/2012/06/08/using-a-binning-techniquefor-
point-based-multiscale-web-maps/) Accessed 10 Sept 2012.
[8] Quantum GIS. Available at
http://www.qgis.org/en/documentation/manuals.html Accessed 30 Oct
2012.
[9] Minn, M (2012) MMQGIS. Available at
http://michaelminn.com/linux/mmqgis/ Accessed 28 Oct 2012.
[10] MapBox blog. Binning: An Alternative to Point Maps, May 25 2012.
Available at http://mapbox.com/blog/binning-alternative-point-maps/.
Accessed 31 Oct 2012.
[11] Johnson, Z. Hexbin-js. Available at
https://github.com/indiemaps/hexbin-js. Accessed 20 June 2012.
[12] Johnson, Z. (Oct 18 2011) Hexbins!. Available at
http://indiemaps.com/blog/2011/10/hexbins/. Accessed 10 january 2012.
[13] Shneiderman, B. (2005) "The eyes have it: A task by data type
taxonomy for information visualization" IEEE Conference on Visual
Languages (VL96), pp. 336-343.
[14] ColorBrewer.org Colorbrewer: Color Advice for Maps. Available at
http://colorbrewer2.org/. Accessed 20 Sept. 2012.
[15] Robert, J.C. "State of the Art: Coodinated & Multiple Views in
Exploratory Visualization", Fifth International Conference on
Coordinated and Multiple Views in Exploratory Visualization (CMV
2007).
[16] MacEachren, A., Crawford, S., Akella, M. and Lengerich, G. (2008)
"Design and Implementation of a Model, Web-based, GIS-Enabled
Cancer Atlas". The Cartographic Journal, Vol. 45, No. 4, pp. 246-260.
[17] NComVa AB. GVA Flash Toolkit. Available at
http://www.ncomva.com/technology/technology-overview/toolkit/.
Accessed 30 Oct 2012.
[18] SpatialKey.org. SpatialKey. Available at http://www.spatialkey.com/.
Accessed 30 Oct 2012.
[19] Stamen Design and SimpleGeo. Polymaps. Available at
www.polymaps.org. Accessed 31 Oct 2012.
[20] Wikipedia OpenStreetMap. Available at
http://en.wikipedia.org/wiki/OpenStreetMap. Accessed 31 Oct 2012.
[21] Bostock, M. (2012) Data-Driven Document. Available at d3js.org.
Accessed 31 Oct. 2012.
[22] Bostock, M. Ogievetsky, V. and Heer, J. (2011) "D3:Data-Driven
Documents" IEEE Trans Vis and Comp Graphics, 17(12), pp. 2301-
2309 Dec 2011.
[23] Dewar, M (2012) Getting Started with D3. O-Reilly Media Inc. USA.
[24] Azzi, M., Caviglia, G., Ciuccarelli, P., Bonetti, E. and Bontempi, L.
(2011) "Dust: A Visualization Tool Supporting Parent-s School-Choice
Evaluation Process". Parson Journal for Information Mapping, Vol. III,
Issue 4, Fall 2011, pp. 1-7.
[25] Fujino,T. (2007) "SVG+Ajax+R: a new framework for WebGIS"
Computational Statistics, Vol. 22, pp. 511-520.
[26] Liu, L. Andris, C. and Ratti, C. (2010) "Uncovering cabdrivers-
behaviour patterns from their digital traces" Computer, Environment and
Urban Systems. Vol. 34, pp. 541-548.
[27] J. B. GODDARD, "Functional Regions within the City Centre: a Study
by Factor Analysis of Taxi Flows in Central London" Transactions of
the Institute of British Geographers, Blackwell Publishing, Mar 1970.
[28] Yeo Zhi Shu Eunice, "A Rich Internet Application (RIA) based Geo-
Visual Analytics Approach", IS470 - Guided Research in Information
Systems, Singapore Management University-s school of Information
Systems, 2009.
@article{"International Journal of Information, Control and Computer Sciences:62411", author = "Tin Seong Kam and Ketan Barshikar and Shaun Tan", title = "DIVAD: A Dynamic and Interactive Visual Analytical Dashboard for Exploring and Analyzing Transport Data", abstract = "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.", keywords = "Geographic Information System (GIS), MovementData, GeoVisual Analytics, Urban Planning.", volume = "6", number = "11", pages = "1480-6", }
