A new look at planning and designing transportation systems: a decision-making model based on cognitive rationality, stakeholder engagement and quantitative methods

Transportation systems are complex sociotechnical systems and this dual nature is reflected in the literature dealing with their planning, i.e. defining courses of action from both public and private points of view. On the one hand, the social sciences literature makes it clear that most decisions related to transportation are “wicked”, i.e. they cannot be tackled with traditional engineering approaches since they are poorly defined. On the other, transportation systems have a strong technical component affecting most of such decisions, as they have to (or should) comply with compelling technical and economic requirements. The literature on transport engineering and economics deals with transportation planning mostly as a rational process based on the formulation and comparison of alternative options.

[1]  J Kelly,et al.  Successful Transport Decision-making: a project management and stakeholder engagement handbook. Volume 1:Concepts and tools; Volume 2: fact sheets , 2004 .

[2]  Ennio Cascetta,et al.  Integrated railways-based policies: The Regional Metro System (RMS) project of Naples and Campania , 2008 .

[3]  Jonathan Joseph.  Social Theory: An Introduction , 2004 .

[4]  A. Verbeke,et al.  Proactive environmental strategies: a stakeholder management perspective , 2003 .

[5]  S. Luca.  Public engagement in strategic transportation planning: An analytic hierarchy process based approach , 2014 .

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

[7]  Thomas Dyllick,et al.  Beyond the business case for corporate sustainability , 2002 .

[8]  Scott W. Cunningham,et al.  Decision-making for new technology: A multi-actor, multi-objective method , 2009 .

[9]  Lawrence Susskind,et al.  Paternalism, Conflict, and Coproduction: Learning from Citizen Action and Citizen Participation in Western Europe , 2013 .

[10]  Armando Cartenì,et al.  PREDICTION RELIABILITY OF THE TRANSPORT SIMULATION MODELS: A BEFORE AND AFTER STUDY IN NAPLES , 2005 .

[11]  Jeff Conklin,et al.  Dialogue Mapping: Building Shared Understanding of Wicked Problems , 2005 .

[12]  David A. Hensher,et al.  Towards a practical method to establish comparable values of travel time savings from stated choice experiments with differing design dimensions , 2006 .

[13]  Marc Gaudry,et al.  A two-dimensional framework for the understanding of transportation planning models☆ , 1988 .

[14]  R. Ramanathan,et al.  TRANSPORT SECTOR IN INDIA: AN ANALYSIS IN THE CONTEXT OF SUSTAINABLE DEVELOPMENT , 1999 .

[15]  Serge P. Hoogendoorn,et al.  Traffic Simulation and Data : Validation Methods and Applications , 2014 .

[16]  Ronald K. Mitchell,et al.  Toward a Theory of Stakeholder Identification and Salience: Defining the Principle of who and What Really Counts , 1997 .

[17]  Kenneth Button,et al.  Market and Government Failures in Transportation , 2005 .

[18]  Ennio Cascetta,et al.  Transportation Systems Analysis: Models and Applications , 2009 .

[19]  Armando Cartenì,et al.  A Quality-Based Approach to Public Transportation Planning: Theory and a Case Study , 2014 .

[20]  D. Geldenhuys,et al.  The Role of the Public , 1984 .

[21]  Moshe Ben-Akiva,et al.  Estimation of travel choice models with randomly distributed values of time , 1992 .

[22]  E. Quah,et al.  Cost-Benefit Analysis , 1972 .

[23]  Saltelli Andrea,et al.  Global Sensitivity Analysis: The Primer , 2008 .

[24]  Armando Cartenì,et al.  The hedonic value of railways terminals. A quantitative analysis of the impact of stations quality on travellers behaviour , 2014 .

[25]  Søren L. Buhl,et al.  How (In)accurate Are Demand Forecasts in Public Works Projects?: The Case of Transportation , 2005, 1303.6654.

[26]  Shuangzhe Liu,et al.  Global Sensitivity Analysis: The Primer by Andrea Saltelli, Marco Ratto, Terry Andres, Francesca Campolongo, Jessica Cariboni, Debora Gatelli, Michaela Saisana, Stefano Tarantola , 2008 .

[27]  Juan de Dios Ortúzar,et al.  Modelling Transport, 2nd Edition , 1990 .

[28]  B. Roy,et al.  The uses of cost–benefit analysis in public transportation decision-making in France , 2009 .

[29]  Hermann Knoflacher,et al.  Success and failures in urban transport planning in Europe—understanding the transport system , 2007 .

[30]  A T Reno,et al.  TRANSPORTATION DECISION-MAKING: A GUIDE TO SOCIAL AND ENVIRONMENTAL CONSIDERATIONS , 1975 .

[31]  J. Urry,et al.  Travel time use in the information age , 2005 .

[32]  M. Bierlaire,et al.  ESTIMATION OF VALUE OF TRAVEL-TIME SAVINGS USING MIXED LOGIT MODELS , 2005 .

[33]  Kara M. Kockelman,et al.  Understanding and Accommodating Risk and Uncertainty in Toll Road Projects , 2009 .

[34]  John B. Heywood,et al.  The effect of uncertainty on US transport-related GHG emissions and fuel consumption out to 2050 , 2012 .

[35]  Ennio Cascetta,et al.  Public Engagement for Planning and Designing Transportation Systems , 2013 .

[36]  Guido Antonius Vonk,et al.  Improving Planning Support : The use of planning support systems for spatial planning , 2006 .

[37]  H. Rittel,et al.  Dilemmas in a general theory of planning , 1973 .

[38]  Armando Cartenì,et al.  An activity-based approach for complex travel behaviour modelling , 2010 .

[39]  Eric J. Miller,et al.  URBAN TRANSPORTATION PLANNING: A DECISION-ORIENTED APPROACH , 1984 .

[40]  P. Hall,et al.  Great Planning Disasters , 2019 .

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

[42]  W. Xiang.  Working with wicked problems in socio-ecological systems: Awareness, acceptance, and adaptation , 2013 .

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

[44]  A. Richards,et al.  Handbook of Strategic Planning , 1989 .

[45]  C. Winston.  Government Failure in Urban Transportation , 2000 .