Abstract
In this paper, we present the results of developing a geo-visual analytics application to support urban services. The goal is to allow non-GIS users to explore the taxi traveler’s hot spots in Shanghai extracted from one week taxi floating car data (FCD). To achieve this, we proposed a workflow based on the visualization pipeline. Firstly, we preprocess the data to extract the origins (o) and destinations (d) from the FCD and apply data mining methods to detect taxi traveler’s hot spots, to which semantics are further tagged using point of interest (POI) data extracted from OpenStreetMap (OSM) project. The detected hot spots are selected to show in the application for the user to conduct further visual analysis. Furthermore, we implement a web-based interactive visual explorative system, in which the graphic user interface contains multiple views (spatial, temporal and thematic) and interactive components are built up using the current web technologies. Finally, a possible use case of the application is introduced. Our results show that the developed geo-visual analytics application enables studying traveler’s activity patterns. The visual analysis can be conducted with this tool for several aspects. The visual queries help to detect when and where hot spots occur and to compare the temporal distributions for nearby hot spots.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
AGAFONKIN, V. 2014. Leaflet.heat [Online]. [Accessed 10.10 2015].
AHAS, R., AASA, A., ROOSE, A., MARK, Ü. & SILM, S. 2008. Evaluating passive mobile positioning data for tourism surveys: An Estonian case study. Tourism Management, 29, 469–486.
AHAS, R. & MARK, Ü. 2005. Location based services—new challenges for planning and public administration? Futures, 37, 547–561.
ANDRIENKO, G., ANDRIENKO, N., FUCHS, G., RAIMOND, A.-M. O., SYMANZIK, J. & ZIEMLICKI, C. Extracting Semantics of Individual Places from Movement Data by Analyzing Temporal Patterns of Visits. First ACM SIGSPATIAL International Workshop on Computational Models of Place, 2013 Orlando, Fl, USA.
ANDRIENKO, G., ANDRIENKO, N. & WROBEL, S. 2007. Visual analytics tools for analysis of movement data. ACM SIGKDD Explorations Newsletter, 9, 38–46.
ANDRIENKO, N. & ANDRIENKO, G. 2012. Visual analytics of movement: An overview of methods, tools and procedures. Information Visualization, 1473871612457601.
BURGHARDT, D. & WIRTH, K. 2011. Comparison of Evaluation Methods for Field-Based Usability Studies of Mobile Map Applications. International Cartographic Conference 2011. Paris.
CARTWRIGHT, W., CRAMPTON, J., GARTNER, G., MILLER, S., MITCHELL, K., SIEKIERSKA, E. & WOOD, J. 2001. Geospatial information visualization user interface issues. Cartography and Geographic Information Science, 28, 45–60.
CHANG, H.-W., TAI, Y.-C., CHEN, H.-W. & HSU, J. Y.-J. 2008. iTaxi: Context-Aware Taxi Demand Hotspots Prediction Using Ontology and Data Mining Approaches. The 13th Conference on Artificila Intelligence and Applications.
COOK, K. A. & THOMAS, J. J. 2005. Illuminating the path: The research and development agenda for visual analytics. Pacific Northwest National Laboratory (PNNL), Richland, WA (US).
DING, L., YANG, J. & MENG, L. Visual Analytics for Understanding Traffic Flows of Transportation Hub from Movement Data. International Cartographic Conference 2015, 2015 Rio de Janeiro, Brazil.
DOS SANTOS, S. & BRODLIE, K. 2004. Gaining understanding of multivariate and multidimensional data through visualization. Computers & Graphics, 28, 311–325.
ESTER, M., KRIEGEL, H.-P., SANDER, J. & XU, X. A density-based algorithm for discovering clusters in large spatial databases with noise. 2nd International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996. 226–331.
FEKETE, J.-D., VAN WIJK, J. J., STASKO, J. T. & NORTH, C. 2008. The value of information visualization. Information visualization. Springer.
FRY, B. 2008. Visualizing Data, O’Reilly.
HALLAHAN, N. 2014. q-cluster [Online]. [Accessed 16.11 2015].
HEIDMANN, F., HERMANN, F. & PEISSNER, M. 2003. Interactive Maps on Mobile, Location-Based Systems: Design Solutions and Usability Testing. International Cartographic Conference. Durban, South Africa: ICA.
HU, J., CAO, W., LUO, J. & YU, X. Dynamic modeling of urban population travel behavior based on data fusion of mobile phone positioning data and FCD. Geoinformatics, 2009 17th International Conference on, 2009. IEEE, 1–5.
KEIM, D., ANDRIENKO, G., FEKETE, J.-D., GÖRG, C., KOHLHAMMER, J. & MELANÇON, G. 2008. Visual analytics: Definition, process, and challenges, Springer.
KRUEGER, R., THOM, D. & ERTL, T. Visual Analysis of Movement Behavior Using Web Data for Context Enrichment. 2014 IEEE Pacific Visualization Symposium, 2014 Yokohama, Japan. IEEE, 193–200.
LOBBEN, A. K., OLSON, J. M. & HUANG, J. 2005. Using fMRI in Cartographic Research. Proceedings of the 22nd International Cartographic Conference. A Coruna, Spain.
MACEACHREN, A. M. 1995. How Maps Work: Representation, Visualization, and Design, The Guilford Press.
MACEACHREN, A. M. & KRAAK, M.-J. 2001. Research challenges in geovisualization. Cartography and Geographic Information Science, 28, 3–12.
MAYHEW, D. J. 1999. The Usability Engineering Lifecycle: a practitioner’s handbook for user interface design, San Francisco, USA, Morgan Kaufmann Publishers.
MAZIMPAKA, J. & TIMPF, S. 2015. Exploring the Potential of Combining Taxi GPS and Flickr Data for Discovering Functional Regions. In: BACAO, F., SANTOS, M. Y. & PAINHO, M. (eds.) AGILE 2015. Springer International Publishing.
MESSELODI, S., MODENA, C. M., ZANIN, M., DE NATALE, F. G., GRANELLI, F., BETTERLE, E. & GUARISE, A. 2009. Intelligent extended floating car data collection. Expert systems with applications, 36, 4213–4227.
MILLER, H. J. & HAN, J. 2009. Geographic data mining and knowledge discovery, CRC Press.
MOOSES, V. Geographical perspective in city sensing. Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication, 2013. ACM, 1351–1354.
NIELSEN, A. 2004. User-Centered 3D Geovisualisation. Geoinformatics 2004: Proc. 12th Int. Conf. on Geoinformatics - Geospatial Information Research: Bridging the Pacific ans Atlantic. Gävle, Sweden.
NIELSEN, J. 1993. Usability Engineering, Academic Press.
NÖLLENBURG, M. 2007. Geographic Visualization. In: KERREN, A., EBERT, A. & MEYER, J. (eds.) Human-Centered Visualization Environments. Springer.
ROTH, R. E. 2012. Cartographic Interaction Primitives: Framework and Synthesis. The Cartographic Journal, 49(4), 376–395.
SARODNICK, F. & BRAU, H. 2011. Methoden der Usability Evaluation, Bern, Verlag Hans Huber.
SUH, S. C. 2012. Practical Applications of Data Mining, Jones & Bartlett Learning.
SWIENTY, O., JAHNKE, M., KUMKE, H. & REPPERMUND, S. 2008. Effective Visual Scanning of Geographic Information. In: SEBILLO, M., VITIELLO, G. & SCHAEFER, G. (eds.) Visual Information Systems. Web-Based Visual Information Search and Management. Heidelberg, Berlin: Springer.
TOBLER, W. 1979. Pycnophylactic Interpolation for Geographical Regions. Journal of the American Statistical Association, 74, 519–530.
TOMINSKI, C. 2006. Event based visualization for user centered visual analysis. Dr.-Ing., Universität Rostock.
WOOD, J., DYKES, J. & SLINGSBY, A. 2010. Visualization of Origins, Destinations and Flows with OD Maps. The Cartographic Journal, 47, 117–129.
WOOD, J., SLINGSBY, A. & DYKES, J. 2011. Visualizing the dynamics of London’s bicycle hire scheme. Cartographica - The International Journal for Geographic Information and Geovisualization, 46, 239–251.
YUAN, J., ZHENG, Y. & XIE, X. Discovering regions of different functions in a city using human mobility and POIs. Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, 2012. ACM, 186–194.
ZHANG, W., LI, S. & PAN, G. Mining the semantics of origin-destination flows using taxi traces. 2012 ACM Conference on Ubiquitous Computing, 2012 Pittsburgh, USA.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Jahnke, M., Ding, L., Karja, K., Wang, S. (2017). Identifying Origin/Destination Hotspots in Floating Car Data for Visual Analysis of Traveling Behavior. In: Gartner, G., Huang, H. (eds) Progress in Location-Based Services 2016. Lecture Notes in Geoinformation and Cartography(). Springer, Cham. https://doi.org/10.1007/978-3-319-47289-8_13
Download citation
DOI: https://doi.org/10.1007/978-3-319-47289-8_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-47288-1
Online ISBN: 978-3-319-47289-8
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)