Abstract
This chapter faces the methodological issues that characterize the development of strategic planning for urban transportation. In particular, the need to adopt a strategic management perspective is tackled through the development and combination of two theoretical approaches: performance management and system dynamics. The first is used to provide planners and decision makers with the tools to define, monitor, and pursue the urban area’s goals with regard to transportation. The second enables us to widen the boundaries of analysis in terms of time and space.
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Notes
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Positive (or direct) means that when one variable changes (e.g., increases), it determines a change in the same direction (e.g., increases) to the connected variable; negative (or indirect) means that when one variable changes (e.g., increases), it determines a change in the opposite direction (e.g., decreases) to the connected variable.
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Mental models are defined as the assumptions, generalizations, and representations that influence how people understand the world and take action (Senge 1990).
References
Abbas, K. A., & Bell, M. G. (1994). System dynamics applicability to transportation modeling. Transportation Research Part A: Policy and Practice, 28(5), 373–390.
Amigoni, F. (1978). Planning management control systems. Journal of Business Finance & Accounting, 5(3), 279–291.
Argyris, C. (2002). Double-loop learning, teaching, and research. Academy of Management Learning & Education, 1(2), 206–218.
Armah, F. A., Yawson, D. O., & Pappoe, A. A. (2010). A systems dynamics approach to explore traffic congestion and air pollution link in the city of Accra, Ghana. Sustainability, 2(1), 252–265.
Axelrod, R. (1997). Advancing the art of simulation in the social sciences. In R. Conte, R. Hegselmann, & P. Terna (Eds.), Simulating social phenomena (pp. 21–40). Berlin: Springer.
Bevan, G., & Hood, C. (2006). What’s measured is what matters: Targets and gaming in the English public health care system. Public Administration, 84(3), 517–538.
Bianchi, C. (2004). Sistemi di programmazione e controllo per l’azienda “regione”. Milan: Giuffrè Editore.
Bianchi, C. (2010). Improving performance and fostering accountability in the public sector through system dynamics modelling: From an ‘external’ to an ‘internal’ perspective. Systems Research and Behavioral Science, 27(4), 361–384.
Bianchi, C. (2012). Enhancing performance management and sustainable organizational growth through system-dynamics modelling. In S. N. Groesser & R. Zeier (Eds.), Systemic management for intelligent organizations (pp. 143–161). Berlin: Springer.
Bianchi, C. (2016). Dynamic performance management (Vol. 1). Berlin: Springer.
Bianchi, C., Bivona, E., Cognata, A., Ferrara, P., Landi, T., & Ricci, P. (2010). Applying system dynamics to foster organizational change, accountability and performance in the public sector: A case-based Italian perspective. Systems Research and Behavioral Science, 27(4), 395–420.
Bianchi, C., Cosenz, F., & Marinković, M. (2015). Designing dynamic performance management systems to foster SME competitiveness according to a sustainable development perspective: Empirical evidences from a case-study. International Journal of Business Performance Management, 16(1), 84–108.
Bisbe, J., & Malagueño, R. (2012). Using strategic performance measurement systems for strategy formulation: Does it work in dynamic environments? Management Accounting Research, 23(4), 296–311.
Bivona, E., & Montemaggiore, G. B. (2010). Understanding short-and long-term implications of “myopic” fleet maintenance policies: A system dynamics application to a city bus company. System Dynamics Review, 26(3), 195–215.
Black, J. A., Paez, A., & Suthanaya, P. A. (2002). Sustainable urban transportation: Performance indicators and some analytical approaches. Journal of Urban Planning and Development, 128(4), 184–209.
Bouckaert, G., & Halligan, J. (2006). A framework for comparative analysis of performance management. In Proceedings at the Conference of European Group of Public Administration, Milan, September 6–9.
Bouckaert, G., & Halligan, J. (2008). Managing Performance: Comparative performance and evaluation. Routledge.
Brignall, S., & Modell, S. (2000). An institutional perspective on performance measurement and management in the ‘new public sector’. Management Accounting Research, 11(3), 281–306.
Brömmelstroet, M., & Bertolini, L. (2008). Developing land use and transport PSS: Meaningful information through a dialogue between modelers and planners. Transport Policy, 15(4), 251–259.
Bryson, J. M., Crosby, B. C., & Stone, M. M. (2006). The design and implementation of Cross-Sector collaborations: Propositions from the literature. Public Administration Review, 66, 44–55.
Cascajo, R., & Monzon, A. (2014). Assessment of innovative measures implemented in European bus systems using key performance indicators. Public Transport, 6(3), 257–282.
Cosenz, F. (2010). A system dynamics approach to analysing the effect of clientelism on public organizations performance in Italy. Revista de Management Comparat Internațional, 11(2), 325–337.
Cosenz, F., & Noto, G. (2014). A dynamic simulation approach to frame drivers and implications of corruption practices on firm performance. European Management Review, 11(3–4), 239–257.
Cosenz, F., & Noto, G. (2016). Applying system dynamics modelling to strategic management: A literature review. Systems Research and Behavioral Science, 33(6), 703–741.
Cosenz, F., & Noto, G. (2018). Fostering entrepreneurial learning processes through dynamic start-up business model simulators. The International Journal of Management Education, 16(3), 468–482.
Dekker, H. C. (2016). On the boundaries between intrafirm and interfirm management accounting research. Management Accounting Research, 31, 86–99.
Eboli, L., & Mazzulla, G. (2012). Performance indicators for an objective measure of public transport service quality. European Transport\Trasporti Europei, 51(3), ISSN 1825-3997.
Feng, C. M., & Hsieh, C. H. (2009). Effect of resource allocation policies on urban transport diversity. Computer-Aided Civil and Infrastructure Engineering, 24(7), 525–533.
Forrester, J. W. (1961). Industrial dynamics. Cambridge, MA: MIT Press.
Haghani, A., Lee, S. Y., & Byun, J. H. (2003a). A system dynamics approach to land use/transportation system performance modeling part I: Methodology. Journal of Advanced Transportation, 37(1), 1–41.
Haghani, A., Lee, S. Y., & Byun, J. H. (2003b). A system dynamics approach to land use/transportation system performance modeling part I: Methodology. Journal of Advanced Transportation, 37(1), 43–82.
Haghshenas, H., Vaziri, M., & Gholamialam, A. (2015). Evaluation of sustainable policy in urban transportation using system dynamics and world cities data: A case study in Isfahan. Cities, 45, 104–115.
Han, J., & Hayashi, Y. (2008). A system dynamics model of CO2 mitigation in China’s inter-city passenger transport. Transportation Research Part D: Transport and Environment, 13(5), 298–305.
Head, B. W., & Alford, J. (2015). Wicked problems: Implications for public policy and management. Administration and Society, 47(6), 711–739.
Heinrich, C. J. (2002). Outcomes–based performance management in the public sector: Implications for government accountability and effectiveness. Public Administration Review, 62(6), 712–725.
Kim, H., MacDonald, R. H., & Andersen, D. F. (2013). Simulation and managerial decision making: A double-loop learning framework. Public Administration Review, 73(2), 291–300.
Lawson, S. R., Newman, P., & Monz, C. (2017). A systems-based approach to address unintended consequences of demand-driven transportation planning in national parks and public lands. International Journal of Sustainable Transportation, 11(2), 98–108.
Linard, K., & Dvorsky, L. (2001). People - Not human resources: The system dynamics of human capital accounting. In Proceedings of the Operations Research Society Conference, Bath, University of Bath.
Litman, T. (2016). Well Measured: Developing Indicators for Sustainable and Livable Transport Planning, Victoria Transport Policy Institute Canada 2016.
Liu, S., Triantis, K. P., & Sarangi, S. (2010). A framework for evaluating the dynamic impacts of a congestion pricing policy for a transportation socioeconomic system. Transportation Research Part A: Policy and Practice, 44(8), 596–608.
Marcon, G., & Russo, S. (2014). Assumptions for a combination of public value and performance management. In Proceedings at IV Workshop Nazionale di Azienda Pubblica, Novara.
Marr, B. (2006). Strategic performance management: Leveraging and measuring your intangible value drivers. Oxford: Butterworth-Heinemann.
Marsden, G., Kelly, C. E., & Snell, C. (2006). Selecting indicators for strategic performance management. Transportation Research Record, 1956(1), 21–29. https://doi.org/10.1177/0361198106195600103.
Meadows, D. (1980). The unavoidable a priori. In J. Randers (Ed.), Elements of the system dynamics method. Waltham, MA: Pegasus Communications.
Meyer, M. W., & Gupta, V. (1994). The performance paradox. Research in Organizational Behavior, 16, 309–369.
Meyer, M. D., & Miller, E. J. (2001). Urban transportation planning: A decision oriented approach. New York, NY: McGraw-Hill.
Morecroft, J. D. (1984). Strategy support models. Strategic Management Journal, 5(3), 215–229.
Morecroft, J. D. (1985). Rationality in the analysis of behavioral simulation models. Management Science, 31(7), 900–916.
Morecroft, J. (1997). The rise and fall of people express: A dynamic resource-based view. In Systems Approach to Learning and Education into the 21st Century, Proceedings of the 15th International System Dynamics Conference, Istanbul (pp. 579–586).
Morecroft, J. D. (1999). Visualising and rehearsing strategy. Business Strategy Review, 10(3), 17–32.
Morecroft, J. (2007). Strategic Modeling and Business Dynamics. Wiley: Chichester.
Noto, G. (2016). Urban transportation governance and wicked problems: A systemic and performance oriented approach. PhD Thesis, University of Palermo.
Noto, G. (2017). Combining system dynamics and performance management to support sustainable urban transportation planning. Journal of Urban and Regional Analysis, 9(1), 51–71.
Noto, G., & Bianchi, C. (2015). Dealing with multi-level governance and wicked problems in urban transportation systems: The case of Palermo municipality. Systems, 3(3), 62–80.
Noto, G., & Noto, L. (2019). Local strategic planning and stakeholder analysis: Suggesting a dynamic performance management approach. Public Organization Review, 19(3), 293–310.
Nuti, S., Noto, G., Vola, F., & Vainieri, M. (2018). Let’s play the patients music: A new generation of performance measurement systems in healthcare. Management Decision, 56(10), 2252–2272.
Osborne, S. P., Bovaird, T., Martin, S., Tricker, M., & Waterston, P. (1995). Performance management and accountability in complex public programmes. Financial Accountability and Management, 11(1), 19–37.
Otley, D. (1994). Management control in contemporary organizations: Towards a wider framework. Management Accounting Research, 5(3–4), 289–299.
Otley, D. (1999). Performance management: A framework for management control systems research. Management Accounting Research, 10(4), 363–382.
Pettigrew, A. M. (1992). The character and significance of strategy process research. Strategic Management Journal, 13(S2), 5–16.
Pfaffenbichler, P., Emberger, G., & Shepherd, S. (2010). A system dynamics approach to land use transport interaction modelling: The strategic model MARS and its application. System Dynamics Review, 26(3), 262–282.
Pfaffenbichler, P. (2011). Modelling with systems dynamics as a method to bridge the gap between politics, planning and science? Lessons learnt from the development of the land use and transport model MARS. Transport Reviews, 31(2), 267–289.
Poister, T. H. (2010). The future of strategic planning in the public sector: Linking strategic management and performance. Public Administration Review, 70, s246–s254.
Poister, T. H., & Streib, G. D. (1999). Strategic management in the public sector: Concepts, models, and processes. Public Productivity & Management Review, 22, 308–325.
Poister, T. H., Pitts, D. W., & Hamilton Edwards, L. (2010). Strategic management research in the public sector: A review, synthesis, and future directions. The American Review of Public Administration, 40(5), 522–545.
Poister, T. H., Pasha, O. Q., & Edwards, L. H. (2013). Does performance management lead to better outcomes? Evidence from the US public transit industry. Public Administration Review, 73(4), 625–636.
Saujot, M., De Lapparent, M., Arnaud, E., & Prados, E. (2016). Making land use–Transport models operational tools for planning: From a top-down to an end-user approach. Transport Policy, 49, 20–29.
Senge, P. M. (1990). The fifth discipline: The art and practice of the learning organisation. New York: Doubleday.
Shah, Y., Manaugh, K., Badami, M., & El-Geneidy, A. (2013). Diagnosing transportation: Developing key performance indicators to assess urban transportation systems. Transportation Research Record, 2357(1), 1–12.
Shen, Q., Chen, Q., Tang, B. S., Yeung, S., Hu, Y., & Cheung, G. (2009). A system dynamics model for the sustainable land use planning and development. Habitat International, 33(1), 15–25.
Shepherd, S. P. (2014). A review of system dynamics models applied in transportation. Transportmetrica B: Transport Dynamics, 2(2), 83–105.
Sloper, P., Linard, K., & Paterson, D. (1999). Towards a dynamic feedback framework for public sector performance management. In Proceedings of the 1999 International System Dynamics Conference, Wellington.
Smith, P. (1995). On the unintended consequences of publishing performance data in the public sector. International Journal of Public Administration, 18(2–3), 277–310.
Sterman, J. D. (2000). Business dynamics: Systems thinking and modeling for a complex world. London: McGraw-Hill.
Sterman, J. (2014). Interactive web-based simulations for strategy and sustainability: The MIT Sloan LearningEdge management flight simulators, part I. System Dynamics Review, 30(1–2), 89–121.
Teece, D. J. (1990). Contributions and impediments of economic analysis to the study of strategic management. In J. Fredrickson (Ed.), Perspective on strategic management (pp. 39–80). Cambridge, MA: Ballinger.
Turnquist, M. A., & Blume, S. W. (1980). Evaluating potential effectiveness of headway control strategies for transit systems. Transportation Research Record, 746(1), 25–29.
Van de Velde, D. M. (1999). Organisational forms and entrepreneurship in public transport part 1: Classifying organisational forms. Transport Policy, 6, 147–157.
Van Thiel, S., & Leeuw, F. L. (2002). The performance paradox in the public sector. Public Performance & Management Review, 25(3), 267–281.
Vennix, J. A. M. (1990). Mental models and computer models, design and evaluation of a computer-based learning environment for policy-making. Unpublished doctoral dissertation, Radboud University, Nijmegen.
Vonk, G., Geertman, S., & Schot, P. (2005). Bottlenecks blocking widespread usage of planning support systems. Environment and planning A, 37(5), 909–924.
Waddell, P. (2011). Integrated land use and transportation planning and modelling: Addressing challenges in research and practice. Transport Reviews, 31(2), 209–229.
Wadmann, S., Johansen, S., Lind, A., Birk, H. O., & Hoeyer, K. (2013). Analytical perspectives on performance-based management: An outline of theoretical assumptions in the existing literature. Health Economics, Policy and Law, 8(4), 511–527.
Wang, J., Lu, H., & Peng, H. (2008). System dynamics model of urban transportation system and its application. Journal of Transportation Systems Engineering and Information Technology, 8(3), 83–89.
Warren, K. (1999). The dynamics of strategy. Business Strategy Review, 10(3), 1–16.
Warren, K. (2000). The softer side of strategy dynamics. Business Strategy Review, 11(1), 45–58.
Warren, K. (2004). Why has feedback systems thinking struggled to influence strategy and policy formulation? Suggestive evidence, explanations and solutions. Systems Research and Behavioral Science, 21(4), 331–347.
Warren, K. (2005). Improving strategic management with the fundamental principles of system dynamics. System Dynamics Review, 21(4), 329–350.
Warren, K. (2008). Strategic management dynamics. John Wiley & Sons.
Wegener, M. (1994). Operational urban models state of the art. Journal of the American planning Association, 60(1), 17–29.
Wernerfelt, B. (1984). A resource‐based view of the firm. Strategic Management Journal, 5(2), 171–180.
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Noto, G. (2020). A Dynamic Performance Management Approach to Support Urban Transportation Planning. In: Strategic Planning for Urban Transportation. System Dynamics for Performance Management & Governance, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-030-36883-8_2
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