Skip to main content

How Smart is the Smart City? Assessing the Impact of ICT on Cities

  • Conference paper
  • First Online:
Agent Based Modelling of Urban Systems (ABMUS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10051))

Included in the following conference series:

Abstract

The notion of “smart cities” has gained much popularity over the past few years, fueled by emerging needs and opportunities, and accompanied by considerable political and commercial hype. But in fact, throughout their long history cities have always strived to become “smarter”, in order to mitigate existential challenges such as defending their citizens, providing them with water, disposing of waste, facilitating access, and more. They did so by making use of available (often new) technologies, such as new fortification methods, water supply, sewers, and transportation systems. The reciprocal relationship between cities and technology has, in turn, shaped urban form, function and use patterns. Cities, in the twenty-first century, are confronted by unprecedented social, economic and environmental challenges. In response, they are attempting to enlist Information and Communication Technologies (ICT) —the current “new” technology —as one of the leading strategies to mitigate urban problems, increase efficiency, reduce costs and enhance the quality of city life. It is the use of this particular technology which is viewed as making cities “smart.” History teaches us that every such new technology, while advantageous in some ways, also has unforeseen side-and after-effects. Due to the highly ubiquitous and distributed nature of ICT, it affects individuals directly and in highly personalized ways in terms of spatial use patterns, consumption habits, and social interactions. The large number of variables and interactions affected by ICT makes it difficult to predict its explicit and implicit effects on the spatial and social use patterns of people in cities. What will be the effects, side- and after-effects of integrating ICT in cities, as it becomes ubiquitous and more accessible to both city governments and citizens? How will it transform people’s interactions and behavioral patterns? How will it affect the form, function and —especially —the use of cities? In short —what will be ICT’s impact on cities, and how can we assess it? Current tools used by city planners fail to account for these new types of interactions and transformative behavioral patterns. New tools, capable of forecasting dynamically and at high resolution the behavior of many individual people in a city, are needed. This paper aims to provide a framework to assess the impact of ICT on the form and function of cities, through its effect on people’s spatial behavior patterns.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Alexander, C.: The Timeless Way of Building. Oxford University Press, New York (1979)

    Google Scholar 

  2. Bar-yam, Y.: Complexity Rising: From Human Beings to Human Civilization, A Complexity Profile 1. In: Encyclopedia of Life Support Systems, pp. 1–33, 01 December 1997

    Google Scholar 

  3. Barker, R.G.: Habitats, Environments, and Human Behavior. Jossey-Bass Incorporated Pub., San Francisco (1978)

    Google Scholar 

  4. Batten, D.F.: Network cities: creative urban agglomerations for the 21st century. Urban Stud. 32(2), 313–327 (1995)

    Article  Google Scholar 

  5. Batty, M.: Big data, smart cities and city planning. Dialogues Hum. Geogr. 3(3), 274–279 (2013)

    Article  Google Scholar 

  6. Batty, M.: Agent-based pedestrian modelling. In: Advanced Spatial Analysis, pp. 81–106 (2003)

    Google Scholar 

  7. Bonabeau, E.: Agent-based modeling: methods and techniques for simulating human systems. Proc. Nat. Acad. Sci. 99(suppl. 3), 7280–7287 (2002)

    Article  Google Scholar 

  8. Bovy, E.S.: Route choice: wayfinding in transport networks. Ann. Assoc. Am. Geogr. 82(2), 320–342 (1990)

    Google Scholar 

  9. Canter, D.: The Psychology of Place (1977)

    Google Scholar 

  10. Castells, M.: The Rise of the Network Society, vol. I. Blackwell Publishing, Massachusetts (2010)

    Google Scholar 

  11. Chu, M.L., Pan, X., Law, K.H.: Incorporating social behaviours in egress simulation. J. Comput. Civ. Eng. 650, 544–551 (2011)

    Google Scholar 

  12. Cranz, G.: Ethnography for Designers. Routledge, London (2016)

    Google Scholar 

  13. Desouza, K.C., Bhagwatwar, A.: Citizen apps to solve complex urban problems. J. Urban Technol. 19(3), 1–30 (2012). 0732, May 2015

    Article  Google Scholar 

  14. Dirks, S., Gurdgiev, C., Keeling, M. Smarter cities for smarter growth. IBM Global Business Services, 24 (2010)

    Google Scholar 

  15. Ekholm, A.: Activity objects in CAD-programs for building design - A prototype program implementation. In: de Vries, B., van Leeuwen, J., Achten, H. (eds.) Proceedings of the Computer Aided Architectural Design Futures 2001, pp. 61–74. Springer, Netherlands (2001)

    Google Scholar 

  16. Evans-cowley, J.: Planning in the real-time city: the future of mobile technology. J. Plan. Lit. 25(2), 136–149 (2015)

    Article  Google Scholar 

  17. Goldstone, R.L., Janssen, M.A.: Computational models of collective behavior. Trends Cogn. Sci. 9(9), 424–430 (2005)

    Article  Google Scholar 

  18. Goodchild, M.F.: Citizens as sensors: the world of volunteered geography. GeoJournal 69, 211–221 (2007)

    Article  Google Scholar 

  19. Goodspeed, R.: Smart cities: moving beyond urban cybernetics to tackle wicked problems. Camb. J. Reg. Econ. Soc. 8(1), 79–92 (2015)

    Article  Google Scholar 

  20. Gottmann, J.: Why the Skyscraper? Geogr. Rev. 56(2), 190–212 (1966)

    Article  Google Scholar 

  21. Heath, S.K., Brailsford, S.C., Buss, A., Macal, C.M.: Cross-paradigm simulation modeling: challenges and successes. In: Proceedings of the 2011 Winter Simulation Conference, vol. 1 (2011)

    Google Scholar 

  22. Heidegger, M.: Being and time. In: Media, vol. 6 (1962)

    Google Scholar 

  23. Hill, M.R.: Spatial structure and decision-making of pedestrian route selection through an urban environment. University Microfilms International (1982)

    Google Scholar 

  24. Hillier, B.: The Social Logic of Space. Cambridge University Press, Cambridge (1984)

    Book  Google Scholar 

  25. Huhns, M.N., Singh, M.P.: Cognitive agents. IEEE Internet Comput. 2(6), 87–89 (1998)

    Article  Google Scholar 

  26. Kalay, Y.E.: Architectures New Media: Principles, Theories, and Methods of Computer-Aided Design. MIT, Cambridge (2004)

    Google Scholar 

  27. Kalay, Y.E.: The impact of information technology on design methods, products and practices. Des. Stud. 27(3), 357–380 (2006)

    Article  Google Scholar 

  28. Lefebvre, H.: The Production of Space. Urban Studies 29 (1974)

    Google Scholar 

  29. Lynch, K. The Image of the City, pp. 1–103. The M.I.T Press, Cambridge (1960)

    Google Scholar 

  30. Maeng, D., Nedovi, Z., City, G., Garnier, T., Lloyd, F., City, B.: Urban form and planning in the information age: lessons from literature. Spatium 17–18, 1–12 (2008)

    Article  Google Scholar 

  31. Maes, P.: Modeling adaptive autonomous agents. Artif. Life 1(1–2), 1–37 (1993)

    Google Scholar 

  32. Merleau-Ponty, M.: Phenomenology of perception Dispositvo de entrada. Cogn. Sci. 4 (1962)

    Google Scholar 

  33. Moss, M.: Technology and cities. Cityscape 3(3), 107–127 (1998). http://doi.org/10.2139/ssrn.156913

    Google Scholar 

  34. Noë, A.: Action in Perception (2004)

    Google Scholar 

  35. Penn, A.: Space syntax and spatial cognition. In: Proceedings of the 3rd International Space Syntax Symposium, Atlanta, pp. 11.1–11.17 (2001)

    Google Scholar 

  36. Portugali, J.: Self-organization, cities, cognitive maps and information systems. In: Spatial Information Theory A Theoretical Basis for GIS, pp. 329–346 (1997)

    Google Scholar 

  37. Rittel, H.W.J., Webber, M.M.: Dilemmas in a general theory of planning. Policy Sci. 4(2), 155–169 (1973)

    Article  Google Scholar 

  38. Robert, S.: Introduction to the art and science of simulation. In: Proceedings of the 1998 Winter Simulation Conference, pp. 7–14 (1998)

    Google Scholar 

  39. Schaumann, D., Morad, M.G., Zinger, E., Pilosof, N.P. Sopher, H., Brodeschi, M., Date, K., Kalay, Y.E.: A computational framework to simulate human spatial behavior in built environments. In: SimAUD 2016 Symposium on Simulation for Architecture and Urban Design (2016)

    Google Scholar 

  40. Senevarante, P.N., Morall, J.F.: Analysis of factors affecting the choice of route of pedestrians. Transp. Plan. Technol. 10, 147–159 (1986)

    Google Scholar 

  41. Sheller, M.B., Urry, J.: The city and the car. Int. J. Urban Reg. Res. 24, 737–757 (2000)

    Article  Google Scholar 

  42. Simeone, D., Kalay, Y. E., Achten, H., Pavlicek, J., Hulin, J., Matejovska, D.: An event-based model to simulate human behavior in built environments. In: Ecaade 2012, vol. 1, pp. 525–532 (2012)

    Google Scholar 

  43. Simon, H.A.: The Sciences of the Artificial. Computers and Mathematics with Applications, 3rd edn., vol. 33 (1997)

    Google Scholar 

  44. Tabak, V., de Vriesh, B., Dijkstra, J.: Simulation and validation of human movement in building spaces. Environ. Plan. B: Plan. Des. 37(4), 592–609 (2010)

    Article  Google Scholar 

  45. Thornton, P.R.: Readers React: How an app destroyed their streets: Readers count the Waze? http://www.latimes.com/opinion/opinion-la/la-ol-waze-traffic-app-neighborhoods-readers-20150506-story.html. Accessed 4 Aug 2016

  46. Townsend, A.: Smart Cities Big Data, Civic Hackers and the Quest for a New Utopia. Norton and Company, New York (2013)

    Google Scholar 

  47. Townsend, A.M.: Life in the real-time citiy: mobile telephones and Urban metabolism. J. Urban Technol. 7(2), 85–104 (2000)

    Article  Google Scholar 

  48. Tuan, Y.-F.: The perspective of experience. Contemp. Sociol. 7 (1978)

    Google Scholar 

  49. Van Berkum, E.C., Van Der Mede, P.H.J.: The Impact of Traffic Information: Dynamics in Route and Departure Time Choice. Delft University of Technology, TU Delft (1993)

    Google Scholar 

  50. Whyte, W.H.: The social life of small urban spaces. Common Ground (1980)

    Google Scholar 

  51. Wiener, J.M., Bchner, S.J., Hölscher, C.: Taxonomy of human wayfinding tasks: a knowledge-based approach. Spat. Cogn. Comput. 9(2), 152–165 (2009)

    Google Scholar 

  52. Wooldridge, M., Jennings, N.R.: Intelligent agents: theory and practice. Knowl. Eng. Rev. 10(2), 115–152 (1995)

    Article  Google Scholar 

Download references

Acknowledgments

This research is supported by a European Research Council grant (FP-7 ADG 340753).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Michal Gath-Morad .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Gath-Morad, M., Schaumann, D., Zinger, E., Plaut, P.O., Kalay, Y.E. (2017). How Smart is the Smart City? Assessing the Impact of ICT on Cities. In: Namazi-Rad, MR., Padgham, L., Perez, P., Nagel, K., Bazzan, A. (eds) Agent Based Modelling of Urban Systems. ABMUS 2016. Lecture Notes in Computer Science(), vol 10051. Springer, Cham. https://doi.org/10.1007/978-3-319-51957-9_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-51957-9_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51956-2

  • Online ISBN: 978-3-319-51957-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics