1,107
Views
0
CrossRef citations to date
0
Altmetric
Articles

Explore urban interactions based on floating car data – a case study of Chengdu, China

ORCID Icon, ORCID Icon & ORCID Icon
Pages 37-53 | Received 29 Nov 2021, Accepted 02 Jan 2023, Published online: 18 Jan 2023

References

  • Ahas, R., A. Aasa, Ü. Mark, T. Pae, and A. Kull. 2007. “Seasonal Tourism Spaces in Estonia: Case Study with Mobile Positioning Data.” Tourism Management 28 (3): 898–910. doi:10.1016/j.tourman.2006.05.010.
  • Blondel, V. D., J. -L. Guillaume, R. Lambiotte, and E. Lefebvre. 2008. “Fast Unfolding of Communities in Large Networks.” Journal of Statistical Mechanics: Theory and Experiment 2008 (10): 10008. doi:10.1088/1742-5468/2008/10/P10008.
  • Chen, L., Y. Gao, D. Zhu, Y. Yuan, and Y. Liu. 2019. “Quantifying the Scale Effect in Geospatial Big Data Using Semi-Variograms.” PLoS One 14 (11): e0225139. doi:10.1371/journal.pone.0225139.
  • Cheng, Z., J. Caverlee, K. Lee, and D. Sui. 2011. “Exploring Millions of Footprints in Location Sharing Services.” Proceedings of the International AAAI Conference on Web and Social Media 5 (1): 81–88. doi:10.1609/icwsm.v5i1.14109.
  • Chen, J., Y. Li, X. Yang, S. Zhao, and Y. Zhang. 2021. “VGHC: A Variable Granularity Hierarchical Clustering for Community Detection.” Granular Computing 6 (1): 37–46. doi:10.1007/s41066-019-00195-1.
  • Clauset, A., M. E. J. Newman, and C. Moore. 2004. “Finding Community Structure in Very Large Networks.” Physical Review E 70 (6): 066111. doi:10.1103/PhysRevE.70.066111.
  • Cui, J., F. Liu, D. Janssens, S. An, G. Wets, and M. Cools. 2016. “Detecting Urban Road Network Accessibility Problems Using Taxi GPS Data.” Journal of Transport Geography 51: 147–157. doi:10.1016/j.jtrangeo.2015.12.007.
  • DiDi Chuxing. (2020). GAIA open dataset. https://outreach.didichuxing.com/research/opendata/en/
  • Gao, S., Y. Liu, Y. Wang, and X. Ma. 2013. “Discovering Spatial Interaction Communities from Mobile Phone Data.” Transactions in GIS 17 (3): 463–481. doi:10.1111/tgis.12042.
  • Girvan, M., and M. E. J. Newman. 2002. “Community Structure in Social and Biological Networks.” Proceedings of the National Academy of Sciences 99 (12): 7821–7826. doi:10.1073/pnas.122653799.
  • González, M. C., C. A. Hidalgo, and A. -L. Barabási. 2008. “Understanding Individual Human Mobility Patterns.” Nature 453 (7196): 779–782. doi:10.1038/nature06958.
  • Han, S. S. 2005. “Polycentric Urban Development and Spatial Clustering of Condominium Property Values: Singapore in the 1990s.” Environment and Planning A: Economy and Space 37 (3): 463–481. doi:10.1068/a3746.
  • Jelinski, D. E., and J. Wu. 1996. “The Modifiable Areal Unit Problem and Implications for Landscape Ecology.” Landscape Ecology 11 (3): 129–140. doi:10.1007/BF02447512.
  • Kang, C., S. Sobolevsky, Y. Liu, and C. Ratti (2013). Exploring Human Movements in Singapore: A Comparative Analysis Based on Mobile Phone and Taxicab Usages. Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing, 1–8. 10.1145/2505821.2505826
  • Kernighan, B. W., and S. Lin. 1970. “An Efficient Heuristic Procedure for Partitioning Graphs.” Bell System Technical Journal 49 (2): 291–307. doi:10.1002/j.1538-7305.1970.tb01770.x.
  • Kong, X., F. Xia, Z. Ning, A. Rahim, Y. Cai, Z. Gao, and J. Ma. 2018. “Mobility Dataset Generation for Vehicular Social Networks Based on Floating Car Data.” IEEE Transactions on Vehicular Technology 67 (5): 3874–3886. doi:10.1109/TVT.2017.2788441.
  • Lai, S., A. Sorichetta, J. Steele, C. W. Ruktanonchai, A. D. Cunningham, G. Rogers, P. Koper, et al. 2022. “Global Holiday Datasets for Understanding Seasonal Human Mobility and Population Dynamics.” Scientific Data 9 (1): 17. doi:10.1038/s41597-022-01120-z.
  • Liao, C., C. Chen, Z. Zhang, and H. Xie. 2019. “Understanding and Visualizing Passengers’ Travel Behaviours: A Device-Free Sensing Way Leveraging Taxi Trajectory Data.” Personal and Ubiquitous Computing 26 (3): 491–503. doi:10.1007/s00779-019-01346-6.
  • Li, C., J. Bai, W. Zhao, and X. Yang. 2019. “Community Detection Using Hierarchical Clustering Based on Edge-Weighted Similarity in Cloud Environment.” Information Processing & Management 56 (1): 91–109. doi:10.1016/j.ipm.2018.10.004.
  • Liu, K., S. Gao, P. Qiu, X. Liu, B. Yan, and F. Lu. 2017. “Road2vec: Measuring Traffic Interactions in Urban Road System from Massive Travel Routes.” ISPRS International Journal of Geo-Information 6 (11): 321. doi:10.3390/ijgi6110321.
  • Liu, L., A. Hou, A. Biderman, C. Ratti, and J. Chen (2009). Understanding Individual and Collective Mobility Patterns from Smart Card Records: A Case Study in Shenzhen. 2009 12th International IEEE Conference on Intelligent Transportation Systems, 1–6. 10.1109/ITSC.2009.5309662
  • Li, T., J. Wang, J. Huang, and X. Gao. 2020. “Exploring Temporal Heterogeneity in an Intercity Travel Network: A Comparative Study Between Weekdays and Holidays in China.” Journal of Geographical Sciences 30 (12): 1943–1962. doi:10.1007/s11442-020-1821-9.
  • Li, J., and W. Zhang (2016). Identifying Spatial Structure of Travel Modes Through Community Detection Method. 2016 IEEE International Conference on Intelligent Transportation Engineering (ICITE), 227–231. 10.1109/ICITE.2016.7581337
  • Newman, M. E. J. 2004. “Fast Algorithm for Detecting Community Structure in Networks.” Physical Review E 69 (6): 066133. doi:10.1103/PhysRevE.69.066133.
  • Newman, M. E. J. 2013. “Community Detection and Graph Partitioning.” EPL (Europhysics Letters) 103 (2): 28003. doi:10.1209/0295-5075/103/28003.
  • Newman, M. E. J., and M. Girvan. 2004. “Finding and Evaluating Community Structure in Networks.” Physical Review E 69 (2): 026113. doi:10.1103/PhysRevE.69.026113.
  • Sun, L., K. W. Axhausen, D. -H. Lee, and X. Huang. 2013. “Understanding Metropolitan Patterns of Daily Encounters.” Proceedings of the National Academy of Sciences 110 (34): 13774–13779. doi:10.1073/pnas.1306440110.
  • Tu, W., Q. Li, Z. Fang, S. Shaw, B. Zhou, and X. Chang. 2016. “Optimizing the Locations of Electric Taxi Charging Stations: A Spatial–Temporal Demand Coverage Approach.” Transportation Research Part C: Emerging Technologies 65: 172–189. doi:10.1016/j.trc.2015.10.004.
  • Wang, W., X. Li, P. Jiao, G. Xu, N. Yuan, and W. Yu. 2017. “Exploring Intracity Taxi Mobility During the Holidays for Location-Based Marketing.” Mobile Information Systems 2017: e6310827. doi:10.1155/2017/6310827.
  • Wang, J., J. Wu, Z. Wang, F. Gao, and Z. Xiong. 2020. “Understanding Urban Dynamics via Context-Aware Tensor Factorization with Neighboring Regularization.” IEEE Transactions on Knowledge and Data Engineering 32 (11): 2269–2283. doi:10.1109/TKDE.2019.2915231.
  • Wesolowski, A., N. Eagle, A. J. Tatem, D. L. Smith, A. M. Noor, R. W. Snow, and C. O. Buckee. 2012. “Quantifying the Impact of Human Mobility on Malaria.” Science 338 (6104): 267–270. doi:10.1126/science.1223467.
  • Yue, Y., Y. Zhuang, Q. Li, and Q. Mao (2009). Mining Time-Dependent Attractive Areas and Movement Patterns from Taxi Trajectory Data. 2009 17th International Conference on Geoinformatics, 1–6. 10.1109/GEOINFORMATICS.2009.5293469
  • Yu, W., M. Guan, and Z. Chen. 2019. “Analyzing Spatial Community Pattern of Network Traffic Flow and Its Variations Across Time Based on Taxi GPS Trajectories.” Applied Sciences 9 (10): 2054. doi:10.3390/app9102054.
  • Zhang, B., S. Chen, Y. Ma, T. Li, and K. Tang. 2020. “Analysis on Spatiotemporal Urban Mobility Based on Online Car-Hailing Data.” Journal of Transport Geography 82: 102568. doi:10.1016/j.jtrangeo.2019.102568.
  • Zhang, X., Y. Xu, W. Tu, and C. Ratti. 2018. “Do Different Datasets Tell the Same Story About Urban Mobility—a Comparative Study of Public Transit and Taxi Usage.” Journal of Transport Geography 70: 78–90. doi:10.1016/j.jtrangeo.2018.05.002.
  • Zhang, S., D. Zhu, X. Yao, X. Cheng, H. He, and Y. Liu. 2018. “The Scale Effect on Spatial Interaction Patterns: An Empirical Study Using Taxi O-D Data of Beijing and Shanghai.” IEEE Access 6: 51994–52003. doi:10.1109/ACCESS.2018.2869378.
  • Zhao, P., Y. Xu, X. Liu, and M. -P. Kwan. 2020. “Space-Time Dynamics of Cab Drivers’ Stay Behaviors and Their Relationships with Built Environment Characteristics.” Cities 101: 102689. doi:10.1016/j.cities.2020.102689.
  • Zheng, Y., Q. Li, Y. Chen, X. Xie, and W. -Y. Ma (2008). Understanding Mobility Based on GPS Data. Proceedings of the 10th International Conference on Ubiquitous Computing - UbiComp ’08, 312. 10.1145/1409635.1409677
  • Zhou, T., X. Liu, Z. Qian, H. Chen, and F. Tao. 2019. “Dynamic Update and Monitoring of AOI Entrance via Spatiotemporal Clustering of Drop-Off Points.” Sustainability 11 (23): 6870. doi:10.3390/su11236870.