Discovering spatial and temporal patterns from taxi-based Floating Car Data: a case study from Nanjing

References

• Asakura, Y., and T. Iryo. 2007. “Analysis of Tourist Behaviour Based on the Tracking Data Collected Using a Mobile Communication Instrument.” Transportation Research Part A Policy & Practice 41 (7): 684–690. doi:10.1016/j.tra.2006.07.003.
   Web of Science ®Google Scholar
• Bar-Gera, H. 2007. “Evaluation of A Cellular Phone-Based System for Measurements of Traffic Speeds and Travel Times: A Case Study from Israel.” Transportation Research Part C Emerging Technologies 15 (6): 380–391. doi:10.1016/j.trc.2007.06.003.
   Web of Science ®Google Scholar
• Bierlaire, M., J. Chen, and J. Newman. 2013. “A Probabilistic Map Matching Method for Smartphone GPS Data.” Transportation Research Part C Emerging Technologies 26 (1): 78–98. doi:10.1016/j.trc.2012.08.001.
   Web of Science ®Google Scholar
• Castro, P. S., D. Zhang, and S. Li. 2012. “Urban Traffic Modelling and Prediction Using Large Scale Taxi GPS Traces.” In Pervasive Computing, 57–72. Berlin: Springer-Verlag. doi:10.1007/978-3-642-31205-2_4.
   Google Scholar
• Chang, H. W., Y. C. Tai, and Y. J. Hsu. 2010. “Context-Aware Taxi Demand Hotspots Prediction.” International Journal of Business Intelligence & Data Mining 5 (1): 3–18. doi:10.1504/IJBIDM.2010.030296.
   Google Scholar
• Chen, M., H. Lin, O. Kolditz, and C. Chen. 2015. “Developing Dynamic Virtual Geographic Environments (VGEs) for Geographic Research.” Environmental Earth Sciences 74: 6975–6980. doi:10.1007/s12665-015-4761-4.
   Web of Science ®Google Scholar
• Craglia, M., M. F. Goodchild, A. Annoni, G. Camara, M. Gould, W. Kuhn, D. Mark, et al. 2008. “Next-Generation Digital Earth—A Position Paper from the Vespucci Initiative for the Advancement of Geographic Information Science.” International Journal of Spatial Data Infrastructures Research 3: 146–167. doi:10.2902/1725-0463.2008.03.art9.
   Google Scholar
• Ehmke, J. F., S. Meisel, and D. C. Mattfeld. 2012. “Floating Car Based Travel Times for City Logistics.” Transportation Research Part C: Emerging Technologies 21 (1): 338–352. doi:10.1016/j.trc.2011.11.004.
   Web of Science ®Google Scholar
• Fontaine, M., B. Smith, and M. Fontaine. 2005. “Probe-Based Traffic Monitoring Systems with Wireless Location Technology: An Investigation of the Relationship between Systems Design and Effectiveness.” Transportation Research Record Journal of the Transportation Research Board 1: 2–11. doi:10.3141/1925-01.
   Google Scholar
• Gao, S., Y. Wang, Y. Gao, and Y. Liu. 2013. “Understanding Urban Traffic-Flow Characteristics: A Rethinking of Betweenness Centrality.” Environment & Planning B Planning & Design 40 (1): 135–153. doi:10.1068/b38141.
   Web of Science ®Google Scholar
• Getis, A., and J. K. Ord. 1992. “The Analysis of Spatial Association by Use of Distance Statistics.” Geographical Analysis 24 (3): 189–206. doi:10.1111/j.1538-4632.1992.tb00261.x.
   Web of Science ®Google Scholar
• Guo, D., X. Zhu, H. Jin, P. Gao, and C. Andris. 2012. “Discovering Spatial Patterns in Origin-Destination Mobility Data.” Transactions in GIS 16 (3): 411–429. doi:10.1111/j.1467-9671.2012.01344.x.
   Web of Science ®Google Scholar
• Guo, H. D., L. Z. Wang, F. Chen, and D. Liang. 2014. “Scientific Big Data and Digital Earth.” Chinese Science Bulletin 59 (35): 5066–5073. doi:10.1007/s11434-014-0645-3.
   Google Scholar
• Kang, H., and D. M. Scott. 2008. “An Integrated Spatio-Temporal GIS Toolkit for Exploring Intra-Household Interactions.” Transportation 35 (2): 253–268. doi:10.1007/s11116-007-9146-4.
   Web of Science ®Google Scholar
• Kong, X., Z. Xu, G. Shen, J. Wang, Q. Yang, and B. Zhang. 2016. “Urban Traffic Congestion Estimation and Prediction Based on Floating Car Trajectory Data.” Future Generation Computer Systems 61: 97–107. doi:10.1016/j.future.2015.11.013.
   Web of Science ®Google Scholar
• Lee, J., I. Shin, and G. L. Park. 2008. “Analysis of the Passenger Pick-Up Pattern for Taxi Location Recommendation.” In Proceedings of the International Conference on Networked Computing and Advanced Information Management, 199–204. Gyeongju. doi:10.1109/NCM.2008.24.
   Google Scholar
• Li, Q., Z. Zeng, T. Zhang, J. Li, and Z. Wu. 2011. “Path-Finding Through Flexible Hierarchical Road Networks: An Experiential Approach Using Taxi Trajectory Data.” International Journal of Applied Earth Observation & Geoinformation 13 (1): 110–119. doi:10.1016/j.jag.2010.07.003.
   Web of Science ®Google Scholar
• Li, Q., T. Zhang, H. Wang, and Z. Zeng. 2011. “Dynamic Accessibility Mapping Using Floating Car Data: A Network-Constrained Density Estimation Approach.” Journal of Transport Geography 19 (3): 379–393. doi:10.1016/j.jtrangeo.2010.07.003.
   Web of Science ®Google Scholar
• Lin, H., M. Batty, S. E. Jørgensen, B. J. Fu, M. Konecny, A. Voinov, P. Torrens, et al. 2015. “Virtual Environments Begin to Embrace Process-Based Geographic Analysis.” Transactions in GIS 19 (4): 493–498. doi:10.1111/tgis.12167.
   Web of Science ®Google Scholar
• Lin, H., M. Chen, and G. N. Lu. 2013. “Virtual Geographic Environment: A Workspace for Computer-Aided Geographic Experiments.” Annals of the Association of American Geographers 103 (3): 465–482. doi:10.1080/00045608.2012.689234.
   Web of Science ®Google Scholar
• Lin, H., M. Chen, G. N. Lu, Q. Zhu, J. H. Gong, X. You, Y. N. Wen, B. L. Xu, and M. Y. Hu. 2013. “Virtual Geographic Environments (VGES): A New Generation of Geographic Analysis Tool.” Earth-Science Reviews 126: 74–84. doi:10.1016/j.earscirev.2013.08.001.
   Web of Science ®Google Scholar
• Liu, L., C. Andris, and C. Ratti. 2010. “Uncovering Cabdrivers’ Behavior Patterns from Their Digital Traces.” Computers, Environment and Urban Systems 34 (6): 541–548. doi:10.1016/j.compenvurbsys.2010.07.004.
   Web of Science ®Google Scholar
• Liu, X., and Y. Ban. 2013. “Uncovering Spatio-Temporal Cluster Patterns Using Massive Floating Car Data.” ISPRS International Journal of Geo-Information 2 (1): 1–15. doi:10.3390/ijgi2020371.
   Web of Science ®Google Scholar
• Liu, X., L. Gong, Y. Gong, and Y. Liu. 2015. “Revealing Travel Patterns and City Structure with Taxi Trip Data.” Journal of Transport Geography 43: 78–90. doi:10.1016/j.jcrysgro.2015.01.022.
   Web of Science ®Google Scholar
• Liu, X., F. B. Zhan, and T. Ai. 2010. “Road Selection Based on Voronoi Diagrams and “Strokes” in Map Generalization.” International Journal of Applied Earth Observation and Geoinformation 12: 194–202. doi:10.1016/j.jag.2009.10.009.
   Web of Science ®Google Scholar
• Liu, Y., F. Wang, Y. Xiao, and S. Gao. 2012. “Urban Land Uses and Traffic ‘Source-Sink Areas’: Evidence from GPS-Enabled Taxi Data in Shanghai.” Landscape and Urban Planning 106 (1): 73–87. doi:10.1016/j.landurbplan.2012.02.012.
   Web of Science ®Google Scholar
• Long, T. T., and S. V. C. Somenahalli. 2011. “Using GIS to Identify Pedestrian-Vehicle Crash Hot Spots and Unsafe Bus Stops.” Journal of Public Transportation 14 (1): 99–114. doi:10.5038/2375-0901.14.1.6.
   Web of Science ®Google Scholar
• Lu, M., Z. Wang, J. Liang, and X. Yuan. 2015. “OD-Wheel: Visual Design to Explore OD Patterns of a Central Region.” 2015 IEEE Pacific Visualization Symposium (PacificVis), Hangzhou, China, 87–91. doi:10.1109/PACIFICVIS.2015.7156361.
   Google Scholar
• Mao, F., M. Ji, and T. Liu. 2016. “Mining Spatiotemporal Patterns of Urban Dwellers from Taxi Trajectory Data.” Frontiers of Earth Science 10 (2): 205–221. doi:10.1007/s11707-015-0525-4.
   Web of Science ®Google Scholar
• Mitchell, A. 2005. The ESRI Guide to GIS Analysis. Vol. 2. RedLands, CA: ESRI Press.
   Google Scholar
• Mu, C., and X. Zhao. 2011. “Dynamic Passenger OD Distribution and System Performance of Taxi Operation System.” International Journal of Information Engineering and Electronic Business 3 (2): 56–63. doi:10.5815/ijieeb.2011.02.08.
   Google Scholar
• Ord, J. K., and A. Getis. 1995. “Local Spatial Autocorrelation Statistics: Distributional Issues and an Application.” Geographical Analysis 27 (4): 286–306. doi:10.1111/j.1538-4632.1995.tb00912.x.
   Web of Science ®Google Scholar
• Park, S. J. 2012. “Measuring Public Library Accessibility: A Case Study Using GIS.” Library & Information Science Research 34 (1): 13–21. doi:10.1016/j.lisr.2011.07.007.
   Web of Science ®Google Scholar
• Patil, P., and A. Gokhale. 2013. “Voronoi-Based Placement of Road-Side Units to Improve Dynamic Resource Management in Vehicular Ad Hoc Networks.” 2013 International Conference on Collaboration Technologies and Systems (CTS), San Diego, CA, 389–396. doi:10.1109/CTS.2013.6567260.
   Google Scholar
• Qian, X., and S. Ukkusuri. 2015. “Spatial Variation of the Urban Taxi Ridership Using GPS Data.” Applied Geography 59: 31–42. doi:10.1016/j.apgeog.2015.02.011.
   Web of Science ®Google Scholar
• Sang, W. B., and K. Y. Chwa. 2004. “Voronoi Diagrams with a Transportation Network on the Euclidean Plane.” International Journal of Computational Geometry & Applications 16 (2n03): 101–112. doi:10.1007/978-3-540-30551-4_11.
   Google Scholar
• Schwieger, V., K. Ramm, R. Czommer, and W. Möhlenbrink. 2007. “Mobile Phone Positioning for Traffic State Acquisition.” Journal of Applied Geodesy, no. 1: 125–135. doi:10.1080/17489720701779651.
   Google Scholar
• Simroth, A., and H. Zahle. 2011. “Travel Time Prediction Using Floating Car Data Applied to Logistics Planning.” IEEE Transactions on Intelligent Transportation Systems 12 (1): 243–253. doi:10.1109/TITS.2010.2090521.
   Web of Science ®Google Scholar
• Su, J. G., M. Jerrett, B. Beckerman, M. Wilhelm, J. K. Ghosh, and B. Ritz. 2009. “Predicting Traffic-Related Air Pollution in Los Angeles Using a Distance Decay Regression Selection Strategy.” Environmental Research 109 (6): 657–670. doi:10.1016/j.envres.2009.06.001.
   PubMed Web of Science ®Google Scholar
• Tao, S., J. Corcoran, I. Mateo-Babiano, and D. Rohde. 2014. “Exploring Bus Rapid Transit Passenger Travel Behaviour Using Big Data.” Applied Geography 53: 90–104. doi:10.1016/j.apgeog.2014.06.008.
   Web of Science ®Google Scholar
• Tobler, W. 1970. “A Computer Movie Simulating Urban Growth in the Detroit Region.” Economic Geography 46 (2): 234–240. doi:10.2307/143141.
   Web of Science ®Google Scholar
• Uno, N., F. Kurauchi, H. Tamura, and I. Yasunori. 2009. “Using Bus Probe Data for Analysis of Travel Time Variability.” Journal of Intelligent Transportation Systems 13 (1): 2–15. doi:10.1080/15472450802644439.
   Web of Science ®Google Scholar
• Wang, J., M. Kwan, and L. Ma. 2014. “Delimiting Service Area Using Adaptive Crystal-Growth Voronoi Diagrams Based on Weighted Planes: A Case Study in Haizhu District of Guangzhou in China.” Applied Geography 50: 108–119. doi:10.1016/j.apgeog.2014.03.001.
   Web of Science ®Google Scholar
• Wang, S., L. Sun, J. Rong, and Z. Yang. 2014. “Transit Traffic Analysis Zone Delineating Method Based on Thiessen Polygon.” Sustainability 6 (4): 1821–1832. doi:10.3390/su6041821.
   Web of Science ®Google Scholar
• Yamada, I., and J. C. Thill. 2007. “Local Indicators of Network-Constrained Clusters in Spatial Point Patterns.” Geographical Analysis 39 (39): 268–292. doi:10.1111/j.1538-4632.2007.00704.x.
   Web of Science ®Google Scholar
• Yang, Z. Z., L. Wang, and G. Chen. 2007. “Method of Traffic Analysis Zone Partition for Traffic Impact Assessment.” Journal of Highway & Transportation Research & Development 2 (2): 80–83. doi:10.1061/JHTRCQ.0000200.
   Google Scholar
• Yue, Y., Y. Zhuang, Q. Li, and Q. Mao. 2009. “Mining Time-Dependent Attractive Areas and Movement Patterns from Taxi Trajectory Data.” International Conference on Geoinformatics, Fairfax, VA. IEEE, 1–6. doi:10.1109/GEOINFORMATICS.2009.5293469.
   Google Scholar
• Zhang, C. X., M. Chen, R. R. Li, C. Y. Fang, and H. Lin. 2016. “What’s Going on about Geo-Process Modeling in Virtual Geographic Environments (Vges).” Ecological Modelling 319: 147–154. doi:10.1016/j.ecolmodel.2015.04.023.
   Web of Science ®Google Scholar
• Zhao, J., A. Rahbee, and N. H. M. Wilson. 2007. “Estimating a Rail Passenger Trip Origin-Destination Matrix Using Automatic Data Collection Systems.” Computer-Aided Civil and Infrastructure Engineering 22 (5): 376–387. doi:10.1007/978-3-642-20244-5_48.
   Web of Science ®Google Scholar
• Zhu, B., Q. Huang, L. Guibas, and L. Zhang. 2013. “Urban Population Migration Pattern Mining Based on Taxi Trajectories.” 3rd International Workshop on Mobile Sensing: The Future, Brought to You by Big Sensor Data, Philadelphia.April 8.
   Google Scholar