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Smart Interactive Cities [SICs]: The Use of Computational Tools and Technologies [CTTs] as a Systemic Approach to Reduce Water and Energy Consumption in Urban Areas

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Data-driven Multivalence in the Built Environment

Part of the book series: S.M.A.R.T. Environments ((SMARTE))

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Abstract

The traditional thinking of cities as the compilation of their land, buildings and, infrastructure is no longer accurate to study their foundation components. Conventional urban planning is not sufficient anymore to solve city related issues. Moreover, there is an important need to integrate technology through its smart computational systems, to the City Information Modeling [CIM] concepts in order to solve those everlasting re-occurring issues. The design and development of a systemic approach in urban design processes is a necessity to face the various threats to our current and future world. Some of these major threats strongly tied up to reducing water and energy consumption rates, as well as designing and developing a smart interactive city that can maintain and sustain itself. Most importantly, this Smart Interactive C City [SIC] would also strengthen the connections between humans, machines and spaces.

The aim of this explorative innovative work is to enable us as designers, architects and planners, to design and develop our cities in a smart way. Cities will become a digital platform with infinite data floating in and out of their physical and metaphysical structures. This information comes from every element we use and we live with. These data need to be collected in one place that is accessible and usable by all users and stakeholders to enable the resolution of predicting future scenarios and managing existing issues. This can be enabled via the use and integration of the principles of City Information Modelling [CIM] and Computational Tools and Technologies [CTTs].

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References

  • AlSaaed, M., & Fadli, F. (2018). Computational technology applications in urban design processes; WE-ADAMS an integrated tool to smart energy/water management system.

    Google Scholar 

  • Barnsley, M. J., & Barr, S. L. (1996). Inferring urban land use from satellite sensor images using kernel-based spatial reclassification. Photogrammetric Engineering and Remote Sensing, 62(8), 949–958.

    Google Scholar 

  • Batty, M. (1997). Cellular automata and urban form: a primer. Journal of the American Planning Association, 63(2), 266–274.

    Article  Google Scholar 

  • Becerik-Gerber, B., & Kensek, K. (2009). Building information modeling in architecture, engineering, and construction: Emerging research directions and trends. Journal of Professional Issues in Engineering Education and Practice, 136(3), 139–147.

    Article  Google Scholar 

  • Beirão, J. N., Duarte, J. P., Montenegro, N., & Gil, J. (2009). Monitoring urban design through generative design support tools: a generative grammar for Praia. Paper presented at the Proceedings of the APDR Congress.

    Google Scholar 

  • Birx, G. W. (2005). BIM evokes revolutionary changes to architecture practice at Ayers/Saint/Gross. AIArchitect, 12, 1–7.

    Google Scholar 

  • Caragliu, A., Del Bo, C., & Nijkamp, P. (2011). Smart cities in Europe. Journal of urban technology, 18(2), 65–82.

    Article  Google Scholar 

  • Cocchia, A. (2014). Smart and digital city: A systematic literature review Smart city. Genoa: Springer.

    Google Scholar 

  • Council, W. E. (2016). World energy resources. London: WECouncil.

    Google Scholar 

  • Dameri, R. P. (2017). Smart city definition, goals and performance smart city implementation (pp. 1–22). Springer.

    Google Scholar 

  • De Paula, R. (2013). City spaces and spaces for design. Interactions, 20(4).

    Google Scholar 

  • Despotakis, V. K., Giaoutzi, M., & Nijkamp, P. (1993). Dynamic GIS models for regional sustainable development Geographic Information Systems, Spatial Modelling and Policy Evaluation (pp. 235–261). Springer.

    Google Scholar 

  • Dohr, A., Modre-Opsrian, R., Drobics, M., Hayn, D., & Schreier, G. (2010). The internet of things for ambient assisted living. Paper presented at the Information Technology: New Generations (ITNG), 2010 Seventh International Conference on.

    Google Scholar 

  • Eastman, C. (1975). The use of computers instead of drawings in building design. AIA Journal, 63(3), 46–50.

    Google Scholar 

  • Eastman, C., Eastman, C., Teicholz, P., & Sacks, R. (2011). BIM handbook: A guide to building information modeling for owners, managers, designers, engineers and contractors. USA & Canada John Wiley & Sons.

    Google Scholar 

  • EIA (2011). Annual energy review (Reports). From Energy Information Admission. https://www.eia.gov/totalenergy/data/annual/index.php#consumption

  • Emmitt, S. (2009). Architectural technology; Research & practice. England: Wiley.

    Google Scholar 

  • Fadli, F., Sobhey, M., Asadi, R., & Elsarrag, E. (2014). Environmental impact assessment of new district developments. WIT Transactions on The Built Environment, 142, 517–528.

    Article  Google Scholar 

  • Fadli, F., Barki, H., Boguslawski, P., & Mahdjoubi, L. (2015). 3D scene capture: A comprehensive review of techniques and tools for efficient Life Cycle Analysis (LCA) and Emergency Preparedness (EP) applications. WIT Transactions on The Built Environment, 149, 85–96.

    Article  Google Scholar 

  • Fadli, F., Kutty, N., Wang, Z., Zlatanova, S., Mahdjoubi, L., Boguslawski, P., & Zverovich, V. (2018). Extending indoor open street mapping environments to navigable 3D CITYGML building models: Emergency response assessment. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 42(4), 161–168.

    Google Scholar 

  • Foucault, M., Martin, L. H., Gutman, H., & Hutton, P. H. (1988). Technologies of the self: A seminar with Michel Foucault.

    Google Scholar 

  • Giffinger, R., Fertner, C., Kramar, H., Kalasek, R., Pichler-Milanović, N., & Meijers, E. (2007). Smart cities: Ranking of european medium-sized cities. vienna, austria: Centre of regional science (srf), vienna university of technology. www. smart-cities. eu/download/smart cities final report pdf

    Google Scholar 

  • Goetz, M. (2013). Towards generating highly detailed 3D CityGML models from OpenStreetMap. International Journal of Geographical Information Science, 27(5), 845–865.

    Article  Google Scholar 

  • Han, S.-Y., & Kim, T. J. (1989). Can expert systems help with planning? Journal of the American Planning Association, 55(3), 296–308.

    Article  Google Scholar 

  • Harrison, C., Eckman, B., Hamilton, R., Hartswick, P., Kalagnanam, J., Paraszczak, J., & Williams, P. (2010). Foundations for smarter cities. IBM Journal of Research and Development, 54(4), 1–16.

    Article  Google Scholar 

  • Hendrickson, C., & Au, T. (1989). Project management for construction: Fundamental concepts for owners, engineers, architects, and builders. Chris Hendrickson.

    Google Scholar 

  • Hickman, L. A. (2001). Philosophical tools for technological culture: Putting pragmatism to work. Bloomington: Indiana University Press.

    Google Scholar 

  • Hoekstra, A. Y., & Chapagain, A. K. (2006). Water footprints of nations: Water use by people as a function of their consumption pattern Integrated assessment of water resources and global change (pp. 35–48). Springer.

    Google Scholar 

  • Hollands, R. G. (2008). Will the real smart city please stand up? Intelligent, progressive or entrepreneurial? City, 12(3), 303–320.

    Article  Google Scholar 

  • IEA. (2016). Water Energy Nexuse- World Energy Outlook 2016. From International Energy Agency www.iea.org/t&c/

  • Innis, R. E. (2003). The meanings of technology. Techne: Research in Philosophy and Technology, 7(1), 34–40.

    Google Scholar 

  • Jadhav, N. Y. (2016). Green and smart buildings: Advanced technology options (Vol. 1). Puchong: Springer.

    Book  Google Scholar 

  • Jin, D., & Lin, S. (2012). Advances in computer science and information engineering. Berlin: Springer.

    Book  Google Scholar 

  • Kahramaa. (2016a). General statistics report consumption Report (Water section). State of Qatar: Qatar General Electricity & Water Corporation.

    Google Scholar 

  • Kahramaa. (2016b). General Statistics report consumption report (Electrical Department). State of Qatar: Qatar General Electricity & Water Corporation.

    Google Scholar 

  • Kahramaa. (2017). Electricity & water statistics report. State of Qatar: Department of Planning and Quality Assurance.

    Google Scholar 

  • Kahramaa. (2018). State of Qatar annual electricity & water statistics report (production and consumption). State of Qatar: Department of Planning and Quality Assurance.

    Google Scholar 

  • Kunz, J., & Fischer, M. (2009). Virtual design and construction: Themes, case studies and implementation suggestions. Center for Integrated Facility Engineering (CIFE), Stanford University.

    Google Scholar 

  • Landis, J. D. (1995). Imagining land use futures: applying the California urban futures model. Journal of the American Planning Association, 61(4), 438–457.

    Article  Google Scholar 

  • Longley, P., Higgs, G., & Martin, D. (1994). The predictive use of GIS to model property valuations. International Journal of Geographical Information Science, 8(2), 217–235.

    Article  Google Scholar 

  • LREDC. (2015). Lusail City: Sustainability strategies, from http://www.lusail.com/the-project/sustainability/

  • Maria, F. M. (2016). Deriving building information models from legacy paper drawings.

    Google Scholar 

  • McDuffie, H. T. (2006). BIM: Transforming a traditional practice model into technology-enabled integrated practice model. The Cornerstone, AIA.

    Google Scholar 

  • Moutinho, J. L. (2008). Building the information society in Portugal: lessons from the digital cities programm 1998–2000. Value-added partnering and innovation in a changing world, 215.

    Google Scholar 

  • Rooney, D. (1997). A contextualising, socio-technical definition of technology: learning from Ancient Greece and Foucault. Prometheus, 15(3), 399–407.

    Article  Google Scholar 

  • Scharfenort, N. (2014). Off and running: Qatar brands for FIFA World Cup, and life beyond. Under Construction: Logics of Urbanism in the Gulf Region.

    Google Scholar 

  • Stewart, F. (1977). Technology and underdevelopment. Development Policy Review, 10(1), 92–105.

    Article  Google Scholar 

  • Thompson, E. M., Greenhalgh, P., Muldoon-Smith, K., Charlton, J., & Dolník, M. (2016). Planners in the future city: Using city information modelling to support planners as market actors. Urban Planning, 1(1), 79–94.

    Article  Google Scholar 

  • Tok, E., Fatemah Al Mohammad, M., & Al Merekhi, M. (2015). Crafting smart cities in the gulf region: a comparison of Masdar and Lusail Handbook of Research on Digital Media and Creative Technologies (pp. 448–460). IGI Global.

    Google Scholar 

  • UN. (2016). The world’s cities in 2016 UN: Department of economic and social affairs, population division.

    Google Scholar 

  • Xu, X., Ding, L., Luo, H., & Ma, L. (2014). From building information modeling to city information modeling. Journal of Information Technology in Construction (ITCon), 19, 292–307.

    Google Scholar 

  • Yeh, A. G.-O. (1991). The development and applications of geographic information systems for urban and regional planning in the developing countries. International Journal of Geographical Information System, 5(1), 5–27.

    Article  Google Scholar 

  • Yeh, A. G.-O. (1999). Urban planning and GIS. Geographical information systems, 2(877–888), 1.

    Google Scholar 

  • Yeh, A. G.-O., & Chow, M. H. (1996). An integrated GIS and location-allocation approach to public facilities planning—An example of open space planning. Computers, Environment and Urban Systems, 20(4–5), 339–350.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Architecture and Urban Planning, College of Engineering, Qatar University, Doha, Qatar

    Fodil Fadli & Mahmoud AlSaeed

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  1. Fodil Fadli
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  2. Mahmoud AlSaeed
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Correspondence to Fodil Fadli .

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Editors and Affiliations

  1. University of Technology Sydney, Sydney, NSW, Australia

    Nimish Biloria

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Fadli, F., AlSaeed, M. (2020). Smart Interactive Cities [SICs]: The Use of Computational Tools and Technologies [CTTs] as a Systemic Approach to Reduce Water and Energy Consumption in Urban Areas. In: Biloria, N. (eds) Data-driven Multivalence in the Built Environment. S.M.A.R.T. Environments. Springer, Cham. https://doi.org/10.1007/978-3-030-12180-8_6

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