4,062
Views
15
CrossRef citations to date
0
Altmetric
Editorial

Geospatial big data for urban planning and urban management

, ORCID Icon &

References

  • Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, et al. 2013. “High-Resolution Global Maps of 21st-Century Forest Cover Change.” Science 342 (6160): 850–853. doi:10.1126/science.1244693.
  • Lara, D. V. R., and A. N. Rodrigues da Silva. 2020. “Equity Issues and the PeCUS Index: An Indirect Analysis of Community Severance.” Geo-spatial Information Science 23 (4): 293–304. doi:10.1080/10095020.2020.1843373.
  • Li, F., Z. Gui, H. Wu, J. Gong, Y. Wang, S. Tian, and J. Zhang. 2018. “Big Enterprise Registration Data Imputation: Supporting Spatiotemporal Analysis of Industries in China.” Computers Environment and Urban Systems 70: 9–23. doi:10.1016/j.compenvurbsys.2018.01.010.
  • Lock, O., and C. Pettit. 2020. “Social Media as Passive Geo-participation in Transportation Planning – How Effective are Topic Modeling & Sentiment Analysis in Comparison with Citizen Surveys?” Geo-spatial Information Science 23 (4): 275–292. doi:10.1080/10095020.2020.1815596.
  • Qi, Y., S. C. Drolma, X. Zhang, J. Liang, H. Jiang, J. Xu, and T. Ni. 2020. “An Investigation of the Visual Features of Urban Street Vitality Using a Convolutional Neural Network.” Geo-spatial Information Science 23 (4): 341–351. doi:10.1080/10095020.2020.1847002.
  • Shen, P., L. Ouyang, C. Wang, Y. Shi, and Y. Su. 2020. “Cluster and Characteristic Analysis of Shanghai Metro Stations Based on Metro Card and Land-Use Data.” Geo-spatial Information Science 23 (4): 352–361. doi:10.1080/10095020.2020.1846463.
  • Smirnov, E., S. Dunaenko, and S. Kudinov. 2020. “Using Multi-Agent Simulation to Predict Natural Crossing Points for Pedestrians and Choose Locations for Mid-Block Crosswalks.” Geo-spatial Information Science 23 (4): 362–374. doi:10.1080/10095020.2020.1847003.
  • Tong, Z., H. Yang, C. Liu, T. Xu, and S. Xu. 2020. “Quantification of the Openness of Urban External Space through Urban Section.” Geo-spatial Information Science 23 (4): 316–326. doi:10.1080/10095020.2020.1846464.
  • Yamada, T., and T. Hayashida. 2020. “Analysis of Shopping Behavior Characteristics in the Keihanshin Metropolitan Area in Japan Based on a Person Trip Survey.” Geo-spatial Information Science 23 (4): 305–315. doi:10.1080/10095020.2020.1845984.
  • Yang, C., Q. Zhan, S. Gao, and H. Liu. 2020. “Characterizing the Spatial and Temporal Variation of the Land Surface Temperature Hotspots in Wuhan from a Local Scale.” Geo-spatial Information Science 23 (4): 327–340. doi:10.1080/10095020.2020.1834882.
  • Yao, Y., X. P. Liu, X. Li, J. B. Zhang, Z. T. Liang, K. Mai, and Y. T. Zhang. 2017. “Mapping Fine-scale Population Distributions at the Building Level by Integrating Multisource Geospatial Big Data.” International Journal of Geographical Information Science 31 (6): 1220–1244. doi:10.1080/13658816.2017.1290252.