Analysis of factors influencing the development of transport infrastructure until the year 2030 — A Delphi based scenario study

In this paper, we present the findings of a web-based real-time Delphi study concerning the factors which will influence the future development of the transport infrastructure until the year 2030. Intensifying globalization, increased urbanization, ongoing shortages in public finances, and the requirements of a more demanding and growing world population are some of the challenges, which global transport will face. This research identifies, assesses, and integrates long-range developments of various factors, such as supply and demand, financing, competitiveness, and sustainability, which will affect the future of the transport industry and its infrastructure. Results are presented in a final probable scenario, which is divided into four different scenario aspects. Moreover, managerial and governmental implications for strategy and policy development are discussed.

[1]  Ian Masser,et al.  Delphi Revisited: Expert Opinion in Urban Analysis , 1987 .

[2]  George Wright,et al.  Delphi: A reevaluation of research and theory , 1991 .

[3]  John W. Creswell,et al.  Research Design: Qualitative, Quantitative, and Mixed Methods Approaches , 2010 .

[4]  Teresa Ribeiro,et al.  Technological Forecasting & Social Change Scenario planning in public policy : Understanding use , impacts and the role of institutional context factors ☆ , 2009 .

[5]  Caroline Hussler,et al.  Is diversity in Delphi panelist groups useful? Evidence from a French forecasting exercise on the future of nuclear energy , 2011 .

[6]  Jari Kaivo-oja,et al.  How can future long-term changes in finnish agriculture and agricultural policy be faced? defining strategic agendas on the basis of a delphi study , 2006 .

[7]  David Banister,et al.  Transport policy scenario-building , 2003 .

[8]  R. Lempert,et al.  Shaping the Next One Hundred Years: New Methods for Quantitative Long-Term Policy Analysis , 2003 .

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

[10]  Roger J. Best,et al.  An experiment in Delphi estimation in marketing decision making. , 1974 .

[11]  R. Phelps,et al.  Does scenario planning affect performance? Two exploratory studies , 2001 .

[12]  W. E. Riggs,et al.  The Delphi technique: An experimental evaluation , 1983 .

[13]  Inga-Lena Darkow,et al.  Scenarios for the logistics services industry: A Delphi-based analysis for 2025 , 2010, International Journal of Production Economics.

[14]  P Gray,et al.  THE USE OF FUTURES ANALYSIS FOR TRANSPORTATION RESEARCH PLANNING , 1976 .

[15]  E. Hahn,et al.  Consensus for tobacco policy among former state legislators using the policy Delphi method , 1999, Tobacco control.

[16]  Thomas C. Powell,et al.  Research notes and communications strategic planning as competitive advantage , 1992 .

[17]  T. Webler,et al.  A novel approach to reducing uncertainty: The group Delphi☆ , 1991 .

[18]  G. Welty,et al.  Communications. PROBLEMS OF SELECTING EXPERTS FOR DELPHI EXERCISES. , 1972 .

[19]  Ove Svidén,et al.  FUTURE INFORMATION SYSTEMS FOR ROAD TRANSPORT : A DELPHI PANEL-DERIVED SCENARIO , 1988 .

[20]  Peter Nijkamp,et al.  A multi-layer scenario analysis for sustainable international transport , 2003 .

[21]  Abigail L. Bristow,et al.  The assessment of transport impacts on land use: Practical uses in strategic planning , 1999 .

[22]  J. Grant,et al.  Suspending disbelief: Influencing engagement in scenarios of forest futures , 2011 .

[23]  Murray Turoff,et al.  Delphi: A brief look backward and forward , 2011 .

[24]  Gordon Welty,et al.  Problems Of Selecting Experts For Delphi Exercises , 1972 .

[25]  Celeste Varum,et al.  Directions in scenario planning literature – A review of the past decades , 2010 .

[26]  W. E. Riggs,et al.  The delphi technique: A long-range planning tool , 1976 .

[27]  A. Strauss,et al.  Grounded theory , 2017 .

[28]  Mary Kay Rayens,et al.  Building Consensus Using the Policy Delphi Method , 2000 .

[29]  Pasi Rikkonen,et al.  Future prospects of alternative agro-based bioenergy use in Finland—Constructing scenarios with quantitative and qualitative Delphi data , 2009 .

[30]  Erik Bohlin,et al.  Infrastructure to 2030 - telecom, land transport, water and electricity , 2006 .

[31]  Johannes Brug,et al.  Determinants of forward stage transitions: a Delphi study. , 2004, Health education research.

[32]  David Banister,et al.  Transport investment and the promotion of economic growth , 2001 .

[33]  K. Hill,et al.  The methodological worth of the Delphi forecasting technique , 1975 .

[34]  Victor I. Chang,et al.  How Blockchain can impact financial services – The overview, challenges and recommendations from expert interviewees , 2020, Technological Forecasting and Social Change.

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

[36]  Niki Frantzeskaki,et al.  Introduction to the special section: Infrastructures and transitions , 2010 .

[37]  Paul J. H. Schoemaker,et al.  Profiting from uncertainty : strategies for succeeding no matter what the future brings , 2002 .

[38]  Mattias Höjer.  Transport telematics in urban systems—a backcasting Delphi study , 1998 .

[39]  Vincent Marchau,et al.  Dynamic adaptive transport policies for handling deep uncertainty , 2010 .

[40]  Rick Parente,et al.  A case study of long-term Delphi accuracy , 2011 .

[41]  K. Czaplicka-Kolarz,et al.  Technology foresight for a vision of energy sector development in Poland till 2030. Delphi survey as an element of technology foresighting , 2009 .

[42]  Norman Crolee Dalkey,et al.  An experimental study of group opinion , 1969 .

[43]  M. Adler,et al.  Gazing into the oracle : the Delphi method and its application to social policy and public health , 1996 .

[44]  P. Goodwin,et al.  Decision making and planning under low levels of predictability: enhancing the scenario method , 2009 .

[45]  D. McDaniel.  Transportation forecasting: A review , 1971 .

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

[47]  English Only,et al.  Ministry of Natural Resources and Environment (MONRE), Thailand Ministry of the Environment, Government of Japan United Nations Economic and Social Commission for Asia (UNESCAP) 5 TH REGIONAL ENVIRONMENTALLY SUSTAINABLE TRANSPORT (EST) , 2010 .

[48]  Gene Rowe,et al.  Judgment change during Delphi-like procedures: The role of majority influence, expertise, and confidence , 2004 .

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

[50]  Claus Møldrup,et al.  Risks of Future Drugs , 2001 .

[51]  K. Raman,et al.  Profiting From Uncertainty , 2012 .

[52]  Enver Yücesan,et al.  The impact of ERP on supply chain management: Exploratory findings from a European Delphi study , 2003, Eur. J. Oper. Res..

[53]  K. Bartholomew.  Land use-transportation scenario planning: promise and reality , 2007 .