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Urban Resilience and Planning Support Systems: The Need for Sentience

Author

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  • Brian Deal
  • Haozhi Pan
  • Varkki Pallathucheril
  • Gale Fulton

Abstract

Developing resilience in built human environments is a complex undertaking. It requires decision support tools that can convey complexities in meaningful and understandable ways. Building smart cities and generating big data, however, is not enough. In order to improve decision-making and ultimately inform resilient communities we need to be able to translate big data at scales and in ways that are useful and approachable. In this paper we argue that creating more resilient communities calls for planning support systems (PSSs) that go beyond the ones we have today. We call for PSSs that possess a greater degree of sentience—that (a) possess a greater awareness of application context and user needs; (b) are capable of iterative learning; (c) are capable of spatial and temporal reasoning; (d) understand rules; and (e) are accessible and interactive. We consider the questions: How might intelligent or sentient information delivery systems allow for more strategic, context-aware, resilient, and ultimately sustainable communities? What primary design considerations would make such a system possible and useful given that, as of yet, no technology exists that is fully “sentient?”

Suggested Citation

  • Brian Deal & Haozhi Pan & Varkki Pallathucheril & Gale Fulton, 2017. "Urban Resilience and Planning Support Systems: The Need for Sentience," Journal of Urban Technology, Taylor & Francis Journals, vol. 24(1), pages 29-45, January.
  • Handle: RePEc:taf:cjutxx:v:24:y:2017:i:1:p:29-45
    DOI: 10.1080/10630732.2017.1285018
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    Citations

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    Cited by:

    1. Shahtahmassebi, Amir Reza & Wu, Chun & Blackburn, George Alan & Zheng, Qing & Huang, Lingyan & Shortridge, Ashton & Shahtahmassebi, Golnaz & Jiang, Ruowei & He, Shan & Wang, Ke & Lin, Yue & Clarke, Ke, 2018. "How do modern transportation projects impact on development of impervious surfaces via new urban area and urban intensification? Evidence from Hangzhou Bay Bridge, China," Land Use Policy, Elsevier, vol. 77(C), pages 479-497.
    2. Kwak, Yoonshin & Deal, Brian & Heavisides, Tom, 2021. "A large scale multi criteria suitability analysis for identifying solar development potential: A decision support approach for the state of Illinois, USA," Renewable Energy, Elsevier, vol. 177(C), pages 554-567.
    3. Mahya Ghouchani & Mohammad Taji & Amirhassan Yaghoubi Roshan & Mohammad Seifi Chehr, 2021. "Identification and assessment of hidden capacities of urban resilience," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 3966-3993, March.
    4. Yanliu Lin & Kasper Benneker, 2022. "Assessing collaborative planning and the added value of planning support apps in The Netherlands," Environment and Planning B, , vol. 49(2), pages 391-410, February.
    5. Yoonshin Kwak & Brian Deal & Grant Mosey, 2021. "Landscape Design toward Urban Resilience: Bridging Science and Physical Design Coupling Sociohydrological Modeling and Design Process," Sustainability, MDPI, vol. 13(9), pages 1-17, April.
    6. Olga Tzanni & Paraskevas Nikolaou & Stella Giannakopoulou & Apostolos Arvanitis & Socrates Basbas, 2022. "Social Dimensions of Spatial Justice in the Use of the Public Transport System in Thessaloniki, Greece," Land, MDPI, vol. 11(11), pages 1-26, November.
    7. 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.
    8. Xin Fu & Xinhao Wang, 2018. "Developing an integrative urban resilience capacity index for plan making," Environment Systems and Decisions, Springer, vol. 38(3), pages 367-378, September.
    9. Huaxiong Jiang & Stan Geertman & Patrick Witte, 2020. "Avoiding the planning support system pitfalls? What smart governance can learn from the planning support system implementation gap," Environment and Planning B, , vol. 47(8), pages 1343-1360, October.
    10. Chul Sue Hwang & Seong-Yun Hong & TaeKeon Hwang & Byungyun Yang, 2020. "Strengthening the Statistical Summaries of Economic Output Areas for Urban Planning Support Systems," Sustainability, MDPI, vol. 12(14), pages 1-21, July.
    11. Christina Kakderi & Eleni Oikonomaki & Ilektra Papadaki, 2021. "Smart and Resilient Urban Futures for Sustainability in the Post COVID-19 Era: A Review of Policy Responses on Urban Mobility," Sustainability, MDPI, vol. 13(11), pages 1-21, June.
    12. Ana Louro & Nuno Marques da Costa & Eduarda Marques da Costa, 2019. "Sustainable Urban Mobility Policies as a Path to Healthy Cities—The Case Study of LMA, Portugal," Sustainability, MDPI, vol. 11(10), pages 1-32, May.
    13. Andy Van den Dobbelsteen & Craig Lee Martin & Greg Keeffe & Riccardo Maria Pulselli & Han Vandevyvere, 2018. "From Problems to Potentials—The Urban Energy Transition of Gruž, Dubrovnik," Energies, MDPI, vol. 11(4), pages 1-18, April.
    14. Si Chen & Yoonshin Kwak & Le Zhang & Grant Mosey & Brian Deal, 2021. "Tightly Coupling Input Output Economics with Spatio-Temporal Land Use in a Dynamic Planning Support System Framework," Land, MDPI, vol. 10(1), pages 1-17, January.

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