Abstract
Urban mobility services generate massive amounts of raw data that are usually not explored in depth by the entities that own them. Visualisation techniques could improve knowledge extraction and decision-making, as well as support the reengineering of those services. Some studies in Information Visualisation provide a domain-independent classification for visualisations based on their own characteristics and the data they support, although independent of their context of use. We propose a classification for visualisations of urban mobility data according to their context of use and their characteristics. Our first results are encouraging and are supported by a user-centred design process carried with urban mobility experts, in which we developed and evaluated a set of visualisation prototypes. The conclusions form a first effort towards a conceptual framework proposal for classifying visualisations of this domain, and are expected to guide researchers and practitioners searching for adequate ways to visually represent their data.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Website: http://move-me.mobi.
- 2.
Website: https://developers.google.com/.
- 3.
Website: http://d3js.org.
References
United Nations: World Urbanization Prospects - The 2011 Revision. United Nations (2012)
Shneiderman, B., Mackinlay, J.D., Card, S.K. (eds.): Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann Publishers Inc., San Francisco (1999)
Ward, M., Grinstein, G., Keim, D.: Interactive Data Visualization: Foundations, Techniques, and Applications. A. K. Peters, Ltd., Natick (2010)
Ellis, G., Dix, A.: An explorative analysis of user evaluation studies in information visualisation. In: Proceedings of the 2006 AVI Workshop, pp. 1–7. ACM, Venice (2006)
Christopher, R.K., Healey, C.G., Interrante, V., Laidlaw, D.H., Ware, C.: Thoughts on user studies: why, how, and when. IEEE Comput. Graph. Appl. 23, 2003 (2003)
Tory, M., Moller, T.: Evaluating visualizations: do expert reviews work? IEEE Comput. Graph. Appl. 25, 8–11 (2005)
Norman, D.A., Draper, S.W.: User Centered System Design; New Perspectives on Human-Computer Interaction. L. Erlbaum Associates Inc, Hillsdale (1986)
Gulliksen, J., Göransson, B., Boivie, I., Persson, J., Blomkvist, S., Cajander, Å.: Key principles for user-centred systems design. In: Seffah, A., Gulliksen, J., Desmarais, M. (eds.) Human-Centered Software Engineering — Integrating Usability in the Software Development Lifecycle, vol. 8, pp. 17–36. Springer, Netherlands (2005)
Gould, J.D., Lewis, C.: Designing for usability: key principles and what designers think. Commun. ACM 28, 300–311 (1985)
Slocum, T.A., Cliburn, D.C., Feddema, J.J., Miller, J.R.: Evaluating the usability of a tool for visualizing the uncertainty of the future global water balance. Cartography Geogr. Inf. Sci. 30, 299–317 (2003)
Robinson, A.C., Chen, J., Lengerich, E.J., Meyer, H.G., Maceachren, A.M.: Combining usability techniques to design geovisualization tools for epidemiology. Inf. Sci. 32, 243–255 (2005)
Roth, R.E., Ross, K.S., Finch, B.G., Luo, W., MacEachren, A.M.: A user-centered approach for designing and developing spatiotemporal crime analysis tools, Zurich, Switzerland (2010)
Polisciuc, E., Alves, A., Bento, C., Machado, P.: Visualizing urban mobility. In: Special Interest Group on Computer Graphics and Interactive Techniques Conference, p. 115 (2013)
Du, F., Brulé, J., Enns, P., Manjunatha, V., Segev, Y.: MetroViz: Visual Analysis of Public Transportation Data (2013)
Sagl, G., Loidl, M., Beinat, E.: A visual analytics approach for extracting spatio-temporal urban mobility information from mobile network traffic. ISPRS Int. J. Geo-Inf. 1, 256–271 (2012)
Hong Thi, N., Chi Kim Thi, D., Tha Thi, B., Phuoc Vinh, T.: Visualization of spatio-temporal data of bus trips. In: 2012 International Conference on Control, Automation and Information Sciences (ICCAIS), pp. 392–397 (2012)
Aigner, W., Miksch, S., Schumann, H., Tominski, C.: Visualization of Time-Oriented Data. Springer, London (2011)
Wehrend, S., Lewis, C.: A problem-oriented classification of visualization techniques. In: Proceedings of the First IEEE Conference on Visualization, Visualization 1990, pp. 139–143, 469 (1990)
Cunha, J.F., Galvão, T.: State of the art and future perspectives for smart support services for public transport. In: Borangiu, T., Trentesaux, D., Thomas, A. (eds.) Service Orientation in Holonic and Multi-agent Manufacturing. SCI, vol. 544, pp. 225–234. Springer, Heidelberg (2014)
Mennis, J.L., Peuquet, D.J., Qian, L.: A conceptual framework for incorporating cognitive principles into geographical database representation. Int. J. Geogr. Inf. Sci. 14, 501–520 (2000)
Lian Chee, K., Slingsby, A., Dykes, J., Tin Seong, K.: Developing and applying a user-centered model for the design and implementation of information visualization tools. In: 2011 15th International Conference on Information Visualisation (IV), pp. 90–95 (2011)
Sobral, T.: Developing Visualisations for Urban Mobility Data: A User-Centred Approach. Master Thesis. Faculty of Engineering of the University of Porto (2014)
Keim, D.A., Mansmann, F., Schneidewind, J., Schreck, T.: Monitoring network traffic with radial traffic analyzer. In: 2006 IEEE Symposium on Visual Analytics Science and Technology, pp. 123–128 (2006)
Ware, C.: Information Visualization: Perception for Design. Morgan Kaufmann Inc., San Francisco (2004)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Sobral, T., Dias, T.G., Borges, J.L. (2015). Towards a Conceptual Framework for Classifying Visualisations of Data from Urban Mobility Services. In: Nóvoa, H., Drăgoicea, M. (eds) Exploring Services Science. IESS 2015. Lecture Notes in Business Information Processing, vol 201. Springer, Cham. https://doi.org/10.1007/978-3-319-14980-6_18
Download citation
DOI: https://doi.org/10.1007/978-3-319-14980-6_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14979-0
Online ISBN: 978-3-319-14980-6
eBook Packages: Computer ScienceComputer Science (R0)