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What does urban informatics add to planning support technology?

Author

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  • Haozhi Pan

    (Shanghai Jiao Tong University, China)

  • Stan Geertman

    (Utrecht University, the Netherlands)

  • Brian Deal

Abstract

No abstract is available for this item.

Suggested Citation

  • Haozhi Pan & Stan Geertman & Brian Deal, 2020. "What does urban informatics add to planning support technology?," Environment and Planning B, , vol. 47(8), pages 1317-1325, October.
  • Handle: RePEc:sae:envirb:v:47:y:2020:i:8:p:1317-1325
    DOI: 10.1177/2399808320945453
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    References listed on IDEAS

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    4. Perry Pei-Ju Yang & Soowon Chang & Nirvik Saha & Helen W Chen, 2020. "Data-driven planning support system for a campus design," Environment and Planning B, , vol. 47(8), pages 1474-1489, October.
    5. Guido Vonk & Stan Geertman & Paul Schot, 2005. "Bottlenecks Blocking Widespread Usage of Planning Support Systems," Environment and Planning A, , vol. 37(5), pages 909-924, May.
    6. Tianren Yang, 2020. "Understanding commuting patterns and changes: Counterfactual analysis in a planning support framework," Environment and Planning B, , vol. 47(8), pages 1440-1455, October.
    7. Zimu Jia & Long Chen & Jingjia Chen & Guowei Lyu & Ding Zhou & Ying Long, 2020. "Urban modeling for streets using vector cellular automata: Framework and its application in Beijing," Environment and Planning B, , vol. 47(8), pages 1418-1439, October.
    8. Kari Lautso, 2003. "The SPARTACUS System for Defining and Analysing Sustainable Urban Land Use and Transport Policies," Advances in Spatial Science, in: Stan Geertman & John Stillwell (ed.), Planning Support Systems in Practice, chapter 24, pages 453-463, Springer.
    9. van den Buuse, Daniel & Kolk, Ans, 2019. "An exploration of smart city approaches by international ICT firms," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 220-234.
    10. Gabriela Viale Pereira & Marie Anne Macadar & Edimara M. Luciano & Maurício Gregianin Testa, 0. "Delivering public value through open government data initiatives in a Smart City context," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
    11. Deal, Brian & Schunk, Daniel, 2004. "Spatial dynamic modeling and urban land use transformation: a simulation approach to assessing the costs of urban sprawl," Ecological Economics, Elsevier, vol. 51(1-2), pages 79-95, November.
    12. Gabriela Viale Pereira & Marie Anne Macadar & Edimara M. Luciano & Maurício Gregianin Testa, 2017. "Delivering public value through open government data initiatives in a Smart City context," Information Systems Frontiers, Springer, vol. 19(2), pages 213-229, April.
    13. Rounaq Basu & Joseph Ferreira, 2020. "A LUTI microsimulation framework to evaluate long-term impacts of automated mobility on the choice of housing-mobility bundles," Environment and Planning B, , vol. 47(8), pages 1397-1417, October.
    14. Haozhi Pan & Si Chen & Yizhao Gao & Brian Deal & Jinfang Liu, 2020. "An urban informatics approach to understanding residential mobility in Metro Chicago," Environment and Planning B, , vol. 47(8), pages 1456-1473, October.
    15. Stan Geertman & John Stillwell, 2020. "Planning support science: Developments and challenges," Environment and Planning B, , vol. 47(8), pages 1326-1342, October.
    16. Zipan Cai & Bo Wang & Cong Cong & Vladimir Cvetkovic, 2020. "Spatial dynamic modelling for urban scenario planning: A case study of Nanjing, China," Environment and Planning B, , vol. 47(8), pages 1380-1396, October.
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    4. Marek Pekarčík & Júlia Ďurčová & Jozef Glova, 2022. "Intangible ICT and Their Importance within Global Value Chains: An Empirical Analysis Based on Longitudinal Data Regression," Mathematics, MDPI, vol. 10(7), pages 1-14, April.

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