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Articles

A Delphi approach to evaluating the success factors for the application of smart mobility systems in smart cities: a construction industry perspective

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  • Abomhara M, Yayilgan SY, Nweke LO, Székely Z. 2021. A comparison of primary stakeholders' views on the deployment of biometric technologies in border management: case study of SMartmobILity at the European land borders. Technol Soc. 64.
  • Aghimien DO, Aigbavboa CO, Oke AE. 2020. Critical success factors for digital partnering of construction organisations – a Delphi study. Eng Constr Archit Manage. 27(10):3171–3188. https://doi.org/10.1108/JEDT-09-2019-0237.
  • Agumba J, Musonda I. 2013 Dec 19–21. Experience of using Delphi method in construction health and safety research. In: 7th International Conference on Construction in the 21st Century (CITCVII), Bangkok, Thailand.
  • Aigbavboa C. 2014. An integrated beneficiary centred satisfaction model for publicly funded housing schemes in South Africa [PhD thesis]. Post Graduate School of Engineering Management, Johannesburg: University of Johannesburg.
  • Akterujjaman SM, Mulder R, Kievit H. 2020. The influence of strategic orientation on cocreation in smart city projects: enjoy the benefits of collaboration. Int J Constr Manage. 20:2327–2331.
  • Alomari KA, Gambatese JA, Tymvios N. 2018. Risk perception comparison among construction safety professionals: Delphi perspective. J Constr Eng Manage. 144(12):04018107–04018112.
  • Ameyaw EE, Hu Y, Shan M, Chan APC, Le Y. 2016. Application of Delphi method in construction engineering and management research: a quantitative perspective. J Civ Eng Manage. 22(8):991–1000.
  • Appio FP, Lima M, Paroutis S. 2019. Understanding smart cities: innovation ecosystems, technological advancements, and societal challenges. Technol Forecast Soc Change. 142(2):1–14. https://doi.org/10.1016/j.techfore.2018.12.018.
  • Araral E. 2020. Why do cities adopt smart technologies? Contingency theory and evidence from the United States. Cities. 106:1–15.
  • Arrows KJ. 2007. Global climate change: a challenge to policy. Economist voice. http://refhub.elsevier.com/S0016-3287(17)30151-9/sbref0005.
  • Athanasopoulou L, Papacharalampopoulos A, Stavropoulos P, Mourtzis D. 2020. Design and manufacturing of a smart mobility platform’s context awareness and path planning module: a PSS approach. 30th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2020); 15–18 Jun; Athens, Greece. Elsevier. https://pdf.sciencedirectassets.com/306234/1-s2.0-S2351978920X00151/1-s2.0-S2351978920318655/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2Vj.
  • Benevolo C, Dameri RP, D’Auria B. 2016. Smart mobility in smart city. Action taxonomy, ICT intensity and public benefits. Cham: Springer. http://www.masdar.ae/11.11.2018
  • Boote J, Barber R, Cooper C. 2006. Principles and indicators of successful consumer involvement in NHS research: results of a Delphi study and subgroup analysis. Health Policy. 75(3):280–297.
  • Bull R. 2015. ICT as an enabler for sustainable development: Reflections on opportunities and barriers. J Inf Commun Ethics Soc. 13(1):19–23.
  • Chan APC, Yung EHK, Lam PTI, Tam CM, Cheung SO. 2001. Application of Delphi method in selection of procurement systems for construction projects. Constr Manage Econ. 19(7):699–718.
  • Cledou G, Estevez E, Barbosa LS. 2018. A taxonomy for planning and designing smart mobility services. Gov Inform Quart. 35(2):61–76. https://doi.org/10.1016/j.giq.2017.11.008.
  • Cohen B. 2011. Smart cities wheel. Available from. http://www.boydcohen.com/smartcities.html.
  • Deloitte Consulting. 2014. Global human capital trends 2014. In: Engaging the 21st Century workforce. University Press. [accessed 2017 Jan 3]. http://d2mtr37y39tpbu.cloudfront.net/wp-content/uploads/2014/03/GlobalHumanCapitalTrends_2014.pdf.
  • Dimitrakopolous G, Uden L, Varlamis I. 2020. Integrated mobility for smart cities. In: The future of intelligent transport systems; Vol. 20. Athens, Greece: Elsevier. p. 231–238.
  • Giffinger R, Fertner C, Kramar H, Meijers E. 2007. City-ranking of European Medium-Sized Cities. Vienna: Magazines Focus, Capital, Impulse and Bizz.
  • Green H, Hunter C, Moore B. 1990. Application of the Delphi technique in tourism. Ann Tourism Res. 17(2):270–279.
  • Han MJN, Kim MJ. 2021. A critical review of the smart city in relation to citizen adoption towards sustainable smart living. Habitat Int. 108:1–13.
  • Heiko A. 2012. Consensus measurement in Delphi studies: review and implications for future quality assurance. Technol Forecast Soc Chang. 79(8):1525–1536. https://doi.org/10.1016/j.techfore.2012.04.013.
  • Jeekel JF. 2013. The future of car mobility 2013–2030: material for a debate on framing smart mobility. Conference: Future of mobility. Lancaster: Elsevier. https://research.tue.nl/en/publications/the-future-of-car-mobility-2013-2030-material-for-a-debate-on-fra.
  • Kauko K, Palmroos P. 2014. The Delphi method in forecasting financial markets—an experimental study. Int J Forecast. 30(2):313–327. http://dx.doi.org/10.1016/j.ijforecast.2013.09.007.
  • Lummus RR, Vokurka RJ, Duclos LK. 2005. Delphi study on supply chain flexibility. Int J Prod Res. 43(13):2687–2708.
  • Manders TN, Wieczorek AJ, Verbong GPJ. 2018. Understanding smart mobility experiments in the Dutch automobility system: who is involved and what do they promise? Futures 96:90–103. https://doi.org/10.1016/j.futures.2017.12.003.
  • Manfreda A, Ljubi K, Groznik A. 2021. Autonomous vehicles in the smart city era: An empirical study of adoption factors important for millennials. Int J Inf Manage. 58:102050.
  • McDonald J. 2009. Handbook of biological statistics. Baltimore (MD): Sparky House Publishing.
  • Milakis D, Arem B. v, Wee B. v. 2017. Policy and Society related implications of automated driving: A review of literature and directions for future research. J Intell Transp Syst. 21(4):324–348.
  • Moser CA, Kalton G. 1999. Survey methods in social investigation. 2nd ed. Aldershot: Gower Publishing Company.
  • Nieuwenhuis PAHF, Vergragt P, Wells PE. 2006. The business of sustainable mobility: from vision to reality. 2nd ed. Cardiff: Sheffield: Greenleaf Publishing; p. 11–18. https://orca.cardiff.ac.uk/36527/.
  • Njuangang S, Liyanage C, Akintoye A. 2017. Application of the Delphi technique in healthcare maintenance. Int J Health Care Qual Assur. 30(8):737–754.
  • Noruwa BI, Arewa AO, Merschbrock C. 2020. Effects of emerging technologies in minimising variations in construction projects in the UK. Int J Constr Manage. 20:1–9.
  • Oersa L. v, Hoop E. d, Jolivet E, Marvin S, Späth P, Ravena R. 2020. The politics of smart expectations: interrogating the knowledge claims of smart mobility. Future. 122:0016–3287.
  • Ofori G. 1994. Construction industry development: role of technology transfer. Constr Manage Econ. 12(5):379–392. https://doi.org/10.1080/01446199400000049.
  • Okafor CC, Ezeoyili MN. 2020. Assessment of infrastructure maintenance practices of three airports in Southern Nigeria. Nigerian J Technol (NIJOTECH). 39(3):744–751. http://dx.doi.org/10.4314/njt.v39i3.13.
  • Okafor CC, Ani US, Ugwu O. 2021. Evaluation of supply chain management lapses in Nigeria's Construction Industry. Int J Constr Educ Res. 21:1–16.
  • Olanrewaju DO, Akinpelu A. 2014. Lightweight concrete using local industrial by-product. J Emerg Trends Eng Appl Sci. 2(1):1–6. https://doi.org/10.17265/2159-5275/2F2014.06.005.
  • Olaverri-Monreal C. 2016. Autonomous vehicles and smart mobility related technologies. Inf Commun J. 8(2):17–24.
  • Orlowski A, Romanowska P. 2019. Smart cities concept: smart mobility indicator. Cybern Syst. 50(2):118–131.
  • Pallant J. 2011. SPSS survival manual: a step by step guide to data analysis using SPSS. Australia: Routledge.
  • Pavić I, Pandžić H, Capuder T. 2020. Electric vehicle based smart e-mobility system – definition and comparison of the existing concept. Appl Energy. 272:1–16.
  • Peprah C, Amponsah O, Oduro C. 2019. A system view of smart mobility and its implications for Ghanaian cities. Sustain Cities Soc. 44(1):739–747. https://doi.org/10.1016/j.scs.2018.10.025.
  • Porru S, Misso FE, Pani FE, Repetto C. 2020. Smart mobility and public transport: opportunities and challenges in rural and urban areas. J Traffic Transp Eng. 7(1):88–97.
  • Rajendran S, Gambatese JA. 2009. Development and initial validation of sustainable construction safety and health rating system. J Constr Eng Manage. 135(10):1067–1075.
  • Selim AM, ElGohary AS. 2020. Public–private partnerships (PPPs) in smart infrastructure projects: the role of stakeholders. HBRC J. 16(1):317–333. https://doi.org/10.1080/16874048.2020.1825038.
  • Seuring S, Muller M. 2008. Core issues in sustainable supply chain management – a Delphi study. Bus Strat Environ. 17(1):455–466. https://www.researchgate.net/profile/Stefan-Seuring/publication/227704125_Core_Issues_in_Sustainable_Supply_Chain_Management-A_Delphi_Study/links/09e4150a28dd01081a000000/Core-Issues-in-Sustainable-Supply-Chain-Manag.
  • Siokas G, Tsakanikas A, Siokas E. 2021. Implementing smart city strategies in Greece: appetite for success. Cities. 108:1–13.
  • Skulmoski JG, Hartman TF, Krahn J. 2007. The Delphi method for graduate research. J Inf Technol Educ. 6:1–21.
  • Somiah MK, Aigbavboa CO, Thwala WD. 2020. Validating elements of competitive intelligence for competitive advantage of construction firms in Ghana: a Delphi study. Afr J Sci Technol Innov Dev. 2(4):2–9. https://doi.org/10.1080/20421338.2020.1762309.
  • Spinney J, Lin W-I. 2018. Are you being shared? Mobility, data and social relations in Shanghai's Public Bike Sharing 2.0 sector. Appl Mobilities. 3(1):66–83.
  • Šurdonjaa S, Giuffrè T, Deluka-Tibljaš A. 2019. Smart mobility solutions – necessary precondition for a wellfunctioning smart city. AIIT 2nd International Congress on Transport Infrastructure and Systems in a changing world (TIS ROMA 2019); 23rd–24th Sep; Rome Italy. Elsevier.
  • Ugwu OO, Okafor CC, Nwoji CU. 2018. Assessment of building maintenance in Nigerian University system: a case study of University of Nigeria. Niger J Tech. 37(1):44–52. http://dx.doi.org/10.4314/njt.v37i1.6.
  • United Nations ESCAP. 2015. Intelligent transportation systems for sustainable development in Asia and the Pacific. UN secretariat of the Economic and Social Commission for Asia and the Pacific - ESCAP. Asia: UN. Available from: https://www.unescap.org/sites/default/files/ITS.pdf
  • Urry J. 2004. The ‘system’ of automobility. Theory Cult Soc. 21:25–39. https://doi.org/10.1177/0263276404046059.
  • Vrščaj D, Nyholm S, Verbong GPJ. 2021. Smart mobility innovation policy as boundary work: identifying the challenges of user involvement. Transport Rev. 41(2):210–229.
  • Wang M, Liang H, Zhang R, Deng R, Shen X. 2014. Mobility-aware coordinated charging for electric vehicles in VANET-enhanced smart grid. IEEE J Sel Areas Commun. 32(7):1344–1360. http://bbcr.uwaterloo.ca/∼h8liang/jrnl_14_JSAC_WLZDS.pdf.
  • Wu YJ, Chen JC. 2021. A structured method for smart city project selection. Int J Inf Manage. 56:101981.
  • Xia B, Chan APC, Yeung JFY. 2011. Developing a fuzzy multicriteria decision-making model for selecting design - build operational variations. J Constr Eng Manage. 137(12):1176–1184.

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