Technopolis, shared resources or controlled mobility? A net-based Delphi-study to explore visions of future urban daily mobility in Norway

It is widely recognized that transformation of urban areas are urgent to meet the demands for more efficient and environmental friendly transportation in the future. Although there are general agreements on the need for change, different ideas and visions for the future dominate across different groups of stakeholders and academics. In this paper we explore various views on the future of everyday travelling in urban regions, 30–40 years ahead, focussing in particular on four larger urban areas in Norway. Based on an innovative web-based Delphi-study, involving 280 national experts, various conceptions of future urban travelling is explored. An explorative factor analysis (principal component analysis) is applied to reveal three slightly different understandings of how the urban future may look like in 2050. These three visions - labelled as “Controlled mobility”, “Technopolis” and “Shared mobility”- suggests slightly different scenarios’ for the future of urban travelling.

[1]  C. Grech,et al.  Using a web-based survey tool to undertake a Delphi study: application for nurse education research. , 2013, Nurse education today.

[2]  Yoram Shiftan,et al.  Scenario building as a tool for planning a sustainable transportation system , 2003 .

[3]  Martin Winter,et al.  Transformation in transportation? , 2014 .

[4]  Gerardo Marletto,et al.  Car and the city: Socio-technical transition pathways to 2030 , 2014 .

[5]  Peter Nijkamp,et al.  TRANSPORTATION PLANNING AND FUTURE , 1998 .

[6]  Abigail L. Bristow,et al.  Developing pathways to low carbon land-based passenger transport in Great Britain by 2050 , 2008 .

[7]  R. Heilbroner.  Vision in Economic Thought Remarks upon Receipt of the Veblen-Commons Award , 1994 .

[8]  Gordon Stokes,et al.  The Prospects for Future Levels of Car Access and Use , 2013 .

[9]  Hjp Harry Timmermans,et al.  Robust Approach to Modeling Choice of Locations in Daily Activity Sequences , 2007 .

[10]  R. Heilbroner.  Analysis and Vision in the History of Modern Economic Thought , 1990 .

[11]  Theodore J. Gordon,et al.  RT Delphi: An efficient, “round-less” almost real time Delphi method ☆ , 2006 .

[12]  R. Hickman,et al.  Examining transport futures with scenario analysis and MCA , 2012 .

[13]  Mattias Höjer.  Telematics in Urban Transport : a DelphiStudy Using Scenarios , 1997 .

[14]  J. Landeta.  Current validity of the Delphi method in social sciences , 2006 .

[15]  Richard A. Johnson,et al.  Applied Multivariate Statistical Analysis , 1983 .

[16]  J. Crisp,et al.  The Delphi method? , 1997, Nursing research.

[17]  Patricia L. Mokhtarian,et al.  If telecommunication is such a good substitute for travel, why does congestion continue to get worse? , 2009 .

[18]  Inga-Lena Darkow,et al.  Analysis of factors influencing the development of transport infrastructure until the year 2030 — A Delphi based scenario study , 2012 .

[19]  H. Baer.  Global Capitalism and Climate Change: The Need for an Alternative World System , 2012 .

[20]  John L. Bowman,et al.  The Day Activity Schedule Approach to Travel Demand Analysis , 1998 .

[21]  H. A. Lingstone,et al.  The Delphi Method: Techniques and Applications , 1976 .

[22]  Anne Aguiléra,et al.  Mobile ICTs and physical mobility: Review and research agenda , 2012 .

[23]  Martin Steinert,et al.  A dissensus based online Delphi approach: An explorative research tool , 2009 .

[25]  Inga-Lena Darkow,et al.  Validating an innovative real-time Delphi approach - A methodological comparison between real-time and conventional Delphi studies , 2011 .

[26]  P. Mokhtarian.  Telecommunications and Travel: The Case for Complementarity , 2002 .

[27]  Chia-Chien Hsu,et al.  The Delphi Technique: Making Sense of Consensus , 2007 .

[28]  Petri Tapio,et al.  Disaggregative Policy Delphi: Using cluster analysis as a tool for systematic scenario formation , 2003 .

[29]  Glenn Lyons,et al.  Viewpoint: Transport's digital age transition , 2014 .

[30]  Christa Hubers,et al.  Assessing future travel demand: a need to account for non‐transport technologies? , 2013 .

[31]  J. Habermas.  Theory of Communicative Action , 1981 .

[32]  John Urry,et al.  After the Car , 2009 .

[33]  P. Goodwin,et al.  ‘Peak Car’ — Themes and Issues , 2013 .

[34]  J. Habermas,et al.  The Theory of Communicative Action, Vol. 1, Reason and the Rationalization of Society , 1986 .

[35]  Christa Hubers,et al.  Future mobility in an ageing society – Where are we heading? , 2015 .

[36]  Christa Hubers,et al.  New technologies for the old: Potential implications of living in later life for travel demand , 2013 .

[37]  Peter Jones,et al.  On the move: making sense of car and train travel trends in Britain , 2012 .

[38]  G. Finnveden,et al.  Scenario types and techniques: Towards a user's guide , 2006 .