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Technology Management: Case of the Internet of Technologies and Smart City

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Research and Development Management

Part of the book series: Science, Technology and Innovation Studies ((STAIS))

Abstract

The omnipresence of engineering and technology in today’s world is undeniable. Technology creates continuous change and opportunity, but also presents challenges and threats in many aspects of daily life. Because of the need to mitigate risks while optimizing opportunities, managing engineering and technology has become a priority for companies, organizations, governments and individuals. The Internet of Things (IoT) is one result of this constant evolution of technology. It describes a system where items in the physical world, and sensors within or attached to these items, are connected to a global network of items via the Internet. Progressive cities that have embraced technology in their development have also helped develop the concept of a Smart City, an integrated urban system based on smarter infrastructure driven by technology. Our aim is to analyze, using a technology management approach, different ways that IoT will help improve urban transportation efficiency in smart cities, traffic management and parking. We conduct a literature review and a multi-criteria analysis based on the STEEP perspectives. Additionally, we will provide suggestions on promising practices to help cities improve transportation efficiency. Through our research and analysis of literature, we conclude that effectively leveraging the promise of IoT in smart cities, with respect to traffic management and parking, urban planners and policy makers must include the following activities: identify current technology and trends in parking and traffic management; identify problems or challenges that need to be solved through the integration of IoT and urban mobility planning; identify primary considerations from each of the STEEP perspectives; and communicate how effective management, (of the STEEP perspectives), plays a crucial role in successful implementation of smart city growth.

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References

  1. Cascetta E, Carteni A (2014) A quality-based approach to public transportation planning: theory and a case study. Int J Sustain Transp 8(1):84–106

    Article  Google Scholar 

  2. Bouton S, Knupfer S, Mihov I, Swartz S (2015) Urban mobility at a tipping point. McKinsey & Company. http://www.mckinsey.com/business-functions/sustainability-and-resource-productivity/our-insights/urban-mobility-at-a-tipping-point. Accessed 7 Aug 2015

  3. Guerrero-Ibanez A, Flores-Cortes C, Damian-Reyes P, Andrade-Arechiga M, Pulido J (2012) Emerging technologies for urban traffic management. In: Polyzos S (ed) Urban development. InTech. doi:10.5772/37760

  4. Zanella A, Bui N, Castellani A, Vangelista L, Zorzi M (2014) Internet of things for smart cities. IEEE Internet Things J 1(1):22–32

    Article  Google Scholar 

  5. Rodrigue J, Claude C, Slack B (2013) The geography of transport systems. Routledge, London

    Google Scholar 

  6. Schrank D, Lomax T (2007) The 2007 urban mobility report. Texas Transportation Institute, Texas A&M University, College Station

    Google Scholar 

  7. Noulas A et al (2012) A tale of many cities: universal patterns in human urban mobility. PLoS One 7(5):e37027

    Article  Google Scholar 

  8. Camagni R, Gibelli MC, Rigamonti P (2002) Urban mobility and urban form: the social and environmental costs of different patterns of urban expansion. Ecol Econ 40(2):199–216

    Article  Google Scholar 

  9. da Silva BC, Castro B et al (2004) ITSUMO: an intelligent transportation system for urban mobility. In: International workshop on innovative internet community systems. Springer, Berlin

    Google Scholar 

  10. Caragliu A, Del Bo C, Nijkamp P (2011) Smart cities in Europe. J Urban Technol 18(2):65–82

    Article  Google Scholar 

  11. Chourabi H et al (2012) Understanding smart cities: an integrative framework. In: System science (HICSS), 2012 45th Hawaii International conference on, IEEE

    Google Scholar 

  12. Lam D, Head P (2012) Sustainable urban mobility. In: Energy, transport, and the environment. Springer, London, pp 359–371

    Chapter  Google Scholar 

  13. Helsinki and sustainable mobility | Sustainable cities collective. Sustainablecitiescollective.com (2016) [Online]. Available via http://www.sustainablecitiescollective.com/david-thorpe/1034816/city-where-77-journeys-are-sustainable-means. Accessed 09 Aug 2016

  14. Gakenheimer R (1999) Urban mobility in the developing world. Transp Res Part A Policy Pract 33(7):671–689

    Article  Google Scholar 

  15. Eltoweissy M, Olariu S, Younis M (2010) Towards autonomous vehicular clouds. In: International conference on ad hoc networks. Springer, Berlin

    Google Scholar 

  16. Mohammed F et al (2014) UAVs for smart cities: opportunities and challenges. In: Unmanned aircraft systems (ICUAS), 2014 International conference on, IEEE

    Google Scholar 

  17. Reiskin JS (2015) Freightliner road tests ‘Inspiration’ to demonstrate autonomous assistance. Transport Topics

    Google Scholar 

  18. Pan G, Qi G, Zhang W, Li S, Wu Z, Yang L (2013) Trace analysis and mining for smart cities: issues, methods, and applications. IEEE Commun Mag 51(6):120–126

    Article  Google Scholar 

  19. Campos V, Ramos R, Correia D (2009) Multi-criteria analysis procedure for sustainable mobility evaluation in urban areas. J Adv Transp 43(4):371–390

    Article  Google Scholar 

  20. Miranda H, da Silva A (2012) Benchmarking sustainable urban mobility: the case of Curitiba, Brazil. Transp Policy 21:141–151

    Article  Google Scholar 

  21. Behrisch M et al (2011) SUMO—simulation of urban mobility: an overview. In: Proceedings of SIMUL 2011, The third International conference on advances in system simulation. ThinkMind

    Google Scholar 

  22. Salomon I, Mokhtarian PL (1997) Coping with congestion: understanding the gap between policy assumptions and behavior. Transp Res Part D Transp Environ 2(2):107–123

    Article  Google Scholar 

  23. Roy B (2013) Multicriteria methodology for decision aiding, vol 12. Springer, New York

    Google Scholar 

  24. Beria P, Maltese I, Mariotti I (2012) Multicriteria versus cost benefit analysis: a comparative perspective in the assessment of sustainable mobility. Eur Transp Res Rev 4(3):137–152

    Article  Google Scholar 

  25. Malczewski J (1999) GIS and multicriteria decision analysis. Wiley, New York

    Google Scholar 

  26. Kocaoglu DF (1983) A participative approach to program evaluation. Eng Manage IEEE Trans 3:112–118

    Article  Google Scholar 

  27. Vaidya OS, Kumar S (2006) Analytic hierarchy process: an overview of applications. Eur J Oper Res 169(1):1–29

    Article  Google Scholar 

  28. Lee J, Hancock M, Hu M (2014) Towards an effective framework for building smart cities: lessons from Seoul and San Francisco. Technol Forecast Soc Change 89:80–99

    Article  Google Scholar 

  29. Polycarpou E, Lambrinos L, Protopapadakis E (2013) Smart parking solutions for urban areas. In: World of wireless, mobile and multimedia networks (WoWMoM), 2013 I.E. 14th international symposium and workshops. IEEE, pp 1–6

    Google Scholar 

  30. SFpark. Sfpark.org (2016) [Online]. Available via http://sfpark.org. Accessed 06 Aug 2016

  31. Hamilton A, Waterson B, Cherrett T, Robinson A, Snell I (2013) The evolution of urban traffic control: changing policy and technology. Transp Plan Technol 36(1):24–43

    Article  Google Scholar 

  32. Tewolde G (2012) Sensor and network technology for intelligent transportation systems. In: Electro/information technology (EIT), 2012 I.E. International conference, pp 1–6

    Google Scholar 

  33. Kafi M, Challal Y, Djenouri D, Doudou M, Bouabdallah A, Badache N (2013) A study of wireless sensor networks for urban traffic monitoring: applications and architectures. Proc Comput Sci 19:617–626

    Article  Google Scholar 

  34. Lv Y, Duan Y, Kang W, Li Z, Wang FY (2015) Traffic flow prediction with big data: a deep learning approach. IEEE Trans Intell Transp Syst 16(2):865–873

    Google Scholar 

  35. Perera C, Zaslavsky A, Christen P, Georgakopoulos D (2013) Sensing as a service model for smart cities supported by internet of things. Trans Emerg Telecommun Technol 25(1):81–93

    Article  Google Scholar 

  36. Stankovic J (2014) Research directions for the internet of things. IEEE Internet Things J 1(1):3–9

    Article  Google Scholar 

  37. Banerjee & Associates (2003) An overview of common parking issues, parking management options, and creative solutions. Banerjee & Associates

    Google Scholar 

  38. Idris M, Leng Y, Tamil E, Noor N, Razak Z (2009) Car park system: a review of smart parking system and its technology. Inf Technol J 8(2):101–113

    Article  Google Scholar 

  39. Thompson C (2016) Driverless cars and the future of parking. Newsweek [Online]. Available via http://www.newsweek.com/driverless-cars-and-future-parking-418943. Accessed 06 Aug 2016

  40. Predict congestion and improve traffic management with analytics. Smarter Planet (2016) [Online]. Available http://www.ibm.com/smarterplanet/us/en/traffic_congestion/article/traffic-management-and-prediction.html. Accessed 06 Aug 2016

  41. How autonomous cars will change traffic. Popular Science (2015) [Online]. Available via http://www.popsci.com/how-autonomous-cars-will-change-traffic-2. Accessed 06 Aug 2016

  42. Djahel S, Salehie M, Tal I, Jamshidi P (2013) Adaptive traffic management for secure and efficient emergency services in smart cities. In: Pervasive computing and communications workshops (PERCOM workshops), 2013 I.E. International conference, pp 340–343

    Google Scholar 

  43. Software as a service. Wikipedia (2016) [Online]. Available via https://en.wikipedia.org/wiki/Software_as_a_service. Accessed 06 Aug 2016

  44. Basu A (2014) Smart parking. Happiest Minds. Available via http://www.happiestminds.com/whitepapers/smart-parking.pdf

  45. Smart parking solutions can transform our cities. Blog. rmi.org (2016) [Online]. Available via http://blog.rmi.org/blog_2013_10_24_smart_parking_can_transform_our_cities. Accessed 06 Aug 2016

  46. Hanif N, Badiozaman M, Daud H (2010) Smart parking reservation system using short message services (SMS). In: Intelligent and advanced systems (ICIAS), 2010 International conference on, IEEE, pp 1–5

    Google Scholar 

  47. Car sharing. Sustainablecitiesinstitute.org (2016) [Online]. Available via http://www.sustainablecitiesinstitute.org/topics/transportation/ridesharing/car-sharing. Accessed 06 Aug 2016

  48. Shaheen S, Cohen A (2016) Innovative mobility carsharing outlook. Transportation Sustainability Research Center, University of California, Berkeley

    Google Scholar 

  49. Kee S (2012) The evolution of technology in traffic management. Journeys 8:14–20

    Google Scholar 

  50. Öberg C, Graham G (2016) How smart cities will change supply chain management: a technical viewpoint. Prod Plan Control 27(6):529–538

    Article  Google Scholar 

  51. Naphade M, Banavar G, Harrison C, Paraszczak J, Morris R (2011) Smarter cities and their innovation challenges. Computer 44(6):32–39

    Article  Google Scholar 

  52. Wengener M (2013) The future of mobility in cities: challenges for urban modeling. Transp Policy 29:275–282

    Article  Google Scholar 

  53. Eisele W et al (2014) Greenhouse gas emissions and urban congestion. Urban mobility report, pp 73–80

    Google Scholar 

  54. Prud’homme R, Kopp P (2008) Worse than a congestion charge: Paris traffic restraint policy, Chapter 3. In: Richardson HW, Bae C-HC (eds) Road congestion pricing in Europe implications for the United States. Edward Elgar, Cheltenham, UK

    Google Scholar 

  55. Mingardo G, van Wee B, Rye T (2015) Urban parking policy in Europe: a conceptualization of past and possible future trends. Transp Res Part A Policy Pract 74:268–281

    Article  Google Scholar 

  56. Bozeman B (2000) Technology transfer and public policy: a review of research and theory. Res Policy 29(4):627–655

    Article  Google Scholar 

  57. Hastings A (1996) Unravelling the process of ‘partnership’ in urban regeneration policy. Urban Stud 33(2):253–268

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Engineering and Technology, Portland State University, Portland, OR, USA

    Ellie Bradley, Oussama Laraichi, Mark Ryan, Sudipta Tripathy, Hans VanDerSchaaf & Tugrul U. Daim

Authors
  1. Ellie Bradley
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  2. Oussama Laraichi
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  3. Mark Ryan
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  4. Sudipta Tripathy
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  5. Hans VanDerSchaaf
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  6. Tugrul U. Daim
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Corresponding author

Correspondence to Tugrul U. Daim .

Editor information

Editors and Affiliations

  1. Department of Engineering and Technology, Portland State University, Portland, Oregon, USA

    Tugrul Daim

  2. Department of Engineering and Technology, Portland State University, Portland, Oregon, USA

    Jisun Kim

  3. Department of Engineering and Technology, Portland State University, Portland, Oregon, USA

    Kenny Phan

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Bradley, E., Laraichi, O., Ryan, M., Tripathy, S., VanDerSchaaf, H., Daim, T.U. (2017). Technology Management: Case of the Internet of Technologies and Smart City. In: Daim, T., Kim, J., Phan, K. (eds) Research and Development Management. Science, Technology and Innovation Studies. Springer, Cham. https://doi.org/10.1007/978-3-319-54537-0_15

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