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Advances in urban informatics

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  • Xintao Liu
  • Wenzhong Shi
  • Anshu Zhang

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Suggested Citation

  • Xintao Liu & Wenzhong Shi & Anshu Zhang, 2021. "Advances in urban informatics," Environment and Planning B, , vol. 48(3), pages 395-399, March.
    • Handle: RePEc:sae:envirb:v:48:y:2021:i:3:p:395-399
    DOI: 10.1177/2399808321998468
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    References listed on IDEAS

    as
    1. Shuli Luo & Sylvia Y He, 2021. "Using data mining to explore the spatial and temporal dynamics of perceptions of metro services in China: The case of Shenzhen," Environment and Planning B, , vol. 48(3), pages 449-466, March.
    2. Roberto Ponce Lopez & Joseph Ferreira, 2021. "Identifying spatio-temporal hotspots of human activity that are popular non-work destinations," Environment and Planning B, , vol. 48(3), pages 433-448, March.
    3. Thunyathep Santhanavanich & Volker Coors, 2021. "CityThings: An integration of the dynamic sensor data to the 3D city model," Environment and Planning B, , vol. 48(3), pages 417-432, March.
    4. Mingshu Wang, 2021. "Polycentric urban development and urban amenities: Evidence from Chinese cities," Environment and Planning B, , vol. 48(3), pages 400-416, March.
    5. Xin-Yi Song & Ya Gao & Yubo Peng & Sen Huang & Chao Liu & Zhong-Ren Peng, 2021. "A machine learning approach to modelling the spatial variations in the daily fine particulate matter (PM2.5) and nitrogen dioxide (NO2) of Shanghai, China," Environment and Planning B, , vol. 48(3), pages 467-483, March.
    Full references (including those not matched with items on IDEAS)

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