Designing for Sustainable Urban Mobility Behaviour: A Systematic Review of the Literature

Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 80)

Abstract

Urban mobility is a challenge in cities undergoing growing urbanisation, requiring a shift in behaviour towards more sustainable means of transportation. To investigate how technology can mediate the process of behaviour change, particularly in the context of smart cities, this paper presents a systematic literature review. Three areas are of interest: the utilised technology, behaviour change strategies, and citizen participation in the development process. A total of 14 different applications were included in the final review. The findings show that mobile devices are being prevalently used, persuasive strategies are foremost mentioned, and end-user involvement is happening late in the development process, serving primarily testing purposes. This points out that there are still various unexplored possibilities. It is suggested that future research should explore opportunities stemming from ubiquitous technology, employ behaviour change strategies grounded in reflective learning, and promote citizen involvement with participatory methods.

Keywords

Sustainable mobility Behaviour change Smart city Reflection 

References

  1. Albino V, Berardi U, Dangelico RM (2015) Smart cities: definitions, dimensions, performance, and initiatives. J Urban Technol 22(1):3–21CrossRefGoogle Scholar
  2. Anagnostopoulou E, Bothos E, Magoutas B, Schrammel J, Mentzas G (2016) Persuasive technologies for sustainable urban mobility. arXiv Preprint arXiv:1604.05957
  3. Atkinson BMC (2006) Captology: a critical review. In: International conference on persuasive technology, pp 171–82. SpringerGoogle Scholar
  4. Bordin S, Menendez M, De Angeli A (2014) ViaggiaTrento: an application for collaborative sustainable mobility. ICST Trans Ambient Syst 4:e5CrossRefGoogle Scholar
  5. Bothos E, Dimitris A, Gregoris M (2012) Recommending eco-friendly route plans. In: Proceedings of 1st international workshop on recommendation technologies for lifestyle change, pp 12–17Google Scholar
  6. Bothos E, Dimitris A, Gregoris M (2013) Choice architecture for environmentally sustainable urban mobility. In: CHI 2013 Extended abstracts on human factors in computing systems, pp 1503–1508. ACMGoogle Scholar
  7. Bothos E, Prost S, Schrammel J, Röderer K, Mentzas G (2014) Watch your emissions: persuasive strategies and choice architecture for sustainable decisions in urban mobility. PsychNology J 12(3):107–126Google Scholar
  8. Broll G, Cao H, Ebben P, Holleis P, Jacobs K, Koolwaaij J, Luther M, Souville B (2012) Tripzoom: an app to improve your mobility behavior. In: Proceedings of the 11th international conference on mobile and ubiquitous multimedia, p. 57. ACMGoogle Scholar
  9. Brynjarsdottir H, Håkansson M, Pierce J, Baumer E, DiSalvo C, Sengers P (2012) Sustainably unpersuaded: how persuasion narrows our vision of sustainability. In: Proceedings of the SIGCHI conference on human factors in computing systems, pp 947–956. ACMGoogle Scholar
  10. Capra CF (2014) The Smart City and Its Citizens: Governance and Citizen Participation in Amsterdam Smart City. Mastersthesis, Erasmus University RotterdamGoogle Scholar
  11. Cheng Y-M, Lee C-L (2015) Persuasive and engaging design of a smartphone app for cycle commuting. mUX J Mobile User Exp 4(1):1CrossRefGoogle Scholar
  12. Chourabi H, Nam T, Walker S, Gil-Garcia JR, Mellouli S, Nahon K, Pardo TA, Scholl HJ (2012) Understanding smart cities: an integrative framework. In: 2012 45th hawaii international conference on system science (HICSS), pp 2289–2297. IEEEGoogle Scholar
  13. Fogg, BJ (2003) Persuasive technology: using computers to change what we think and do. Interactive technologies series. Morgan Kaufmann Publishers. https://books.google.no/books?id=9nZHbxULMwgC
  14. Gabrielli S, Forbes P, Jylhä A, Wells S, Sirén M, Hemminki S, Nurmi P, Maimone R, Masthoff J, Jacucci G (2014) Design challenges in motivating change for sustainable urban mobility. Comput Hum Behav 41:416–423CrossRefGoogle Scholar
  15. Gabrielli S, Maimone R (2013) Are change strategies affecting users’ transportation choices? In: Proceedings of the biannual conference of the Italian chapter of SIGCHI, p 9. ACMGoogle Scholar
  16. Gianni F, Divitini M (2016) Technology-enhanced smart city learning: a systematic mapping of the literature. Interact Design Archit (S) J 27:28–43Google Scholar
  17. Gianni F, Mora S, Divitini M (2016) IoT for smart city learning: towards requirements for an authoring tool. In: CEUR workshop proceedings, vol 1602Google Scholar
  18. Gotzenbrucker G, Kohl M (2012) Advanced traveller information systems for intelligent future mobility: the case of’AnachB’in Vienna. IET Intell Transp Syst 6(4):494–501CrossRefGoogle Scholar
  19. Hildermeier J, Villareal A (2014) Two ways of defining sustainable mobility: Autolib’ and BeMobility. J Environ Policy Plann 16(3):321–336CrossRefGoogle Scholar
  20. Kazhamiakin R, Marconi A, Perillo M, Pistore M, Valetto G, Piras L, Avesani F, Perri N (2015) Using gamification to incentivize sustainable urban mobility. In: 2015 IEEE first international on smart cities conference (ISC2), pp 1–6. IEEEGoogle Scholar
  21. Kitchenham B, Charters S (2007) Guidelines for performing systematic literature reviews in software engineeringGoogle Scholar
  22. Krogstie BR, Prilla M, Pammer V (2013) Understanding and supporting reflective learning processes in the workplace: the CSRL model. In: European conference on technology enhanced learning, pp 151–64. SpringerGoogle Scholar
  23. Magliocchetti D, Gielow M, De Vigili F, Conti G, de Amicis R (2012) Ambient intelligence on personal mobility assistants for sustainable travel choices. JUSPN 4(1):1–7CrossRefGoogle Scholar
  24. Majid RA, Noor NLM, Adnan WAW, Mansor S (2010) A survey on user involvement in software development life cycle from practitioner’s perspectives. In: 2010 5th international conference on computer sciences and convergence information technology (ICCIT), pp 240–43. IEEEGoogle Scholar
  25. Monzon A, Hernandez S, Cascajo R (2013) Quality of bus services performance: benefits of real time passenger information systems. Transp Telecommun 14(2):155–166Google Scholar
  26. Oinas-Kukkonen H, Harjumaa M (2008) Towards deeper understanding of persuasion in software and information systems. In: 2008 first international conference on advances in computer-human interaction, pp 200–205. IEEEGoogle Scholar
  27. Pettersen IN, Boks C (2008) The ethics in balancing control and freedom when engineering solutions for sustainable behaviour. Int J Sustain Eng 1(4):287–297CrossRefGoogle Scholar
  28. Semanjski I, Aguirre AJL, De Mol J, Gautama S (2016) Policy 2.0 platform for mobile sensing and incentivized targeted shifts in mobility behavior. Sensors 16(7):1035CrossRefGoogle Scholar
  29. United Nations, Department of Economic, and Population Division Social Affairs (2016). The World’s Cities in 2016 – Data Booklet (ST/ESA/ SER.A/392)Google Scholar
  30. Wernbacher T, Pfeiffer A, Platzer M, Berger M, Krautsack D (2015) Traces: a pervasive app for changing behavioural patterns. In: European conference on games based learning, vol 589. Academic Conferences International LimitedGoogle Scholar
  31. Wunsch M, Stibe A, Millonig A, Seer S, Dai C, Schechtner K, Chin RCC (2015) What makes you bike? exploring persuasive strategies to encourage low-energy mobility. In: International conference on persuasive technology, pp 53–64. SpringerGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Department of Computer ScienceNorwegian University of Science and TechnologyTrondheimNorway

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