Revisiting traffic forecasting by port authorities in the context of port planning and development

Maritime Economics & Logistics - Tập 23 - Trang 444-494 - 2020
Francesco Parola1, Giovanni Satta1, Theo Notteboom2,3,4,5, Luca Persico1
1Department of Business Studies and Italian Centre of Excellence in Logistics, Transport and Infrastructures, University of Genoa, Genoa, Italy
2China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai, China
3Faculty of Business and Economics, University of Antwerp, Antwerp, Belgium
4Maritime Institute, Ghent University, Ghent, Belgium
5Antwerp Maritime Academy, Antwerp, Belgium

Tóm tắt

This paper contributes to the extant debate on port planning and development by analysing current approaches and challenges for academics and port authorities with respect to traffic forecasting. First, we examine how academics approach traffic forecasting in ports based on an extensive literature review. Next, using a sample of 28 core ports in the European Union, we provide empirical evidence on traffic forecasting challenges for, and approaches by, port authorities. Our findings are discussed by focussing on five themes, i.e. formalized planning versus ad hoc investment decisions, the types and time horizons of port planning documents, forecasting methods and data sources, attitudes towards the disclosure of traffic forecasts and methods, and institutional issues affecting traffic forecasting exercises.

Tài liệu tham khảo

Bower, J.L. 1983. Managing for efficiency, managing for equity. Harvard Business Review 64: 83–90. Chan, H.K., S. Xu, and X. Qi. 2018. A comparison of time series methods for forecasting container throughput. International Journal of Logistics Research and Applications. https://doi.org/10.1080/13675567.2018.1525342. Chen, S.H., and J.N. Chen. 2010. Forecasting container throughputs at ports using genetic programming. Expert Systems with Applications 37 (3): 2054–2058. Chou, C.C., C.W. Chu, and G.S. Liang. 2008. A modified regression model for forecasting the volumes of Taiwan’s import containers. Mathematical and Computer Modelling 47 (9): 797–807. Coeck, C., T. Notteboom, A. Verbeke, and W. Winkelmans. 1996. A resource-based perspective on strategic port planning. In Proceedings of the 11th international harbour congress, Antwerp, 29–40. Coto-Millán, P., J. Baños-Pino, and J.V. Castro. 2005. Determinants of the demand for maritime imports and exports. Transportation Research Part E: Logistics and Transportation Review 41 (4): 357–372. Crossan, M.M., and M. Apaydin. 2010. A multi-dimensional framework of organizational innovation: A systematic review of the literature. Journal of Management Studies 47 (6): 1154–1191. Cruz, C.O., and R.C. Marques. 2012. Risk-sharing in seaport terminal concessions. Transport Reviews 32 (4): 455–471. de Langen, P.W., J. Van Meijeren, and L.A. Tavasszy. 2012. Combining models and commodity chain research for making long-term projections of port throughput: An application to the Hamburg–Le Havre range. European Journal of Transport and Infrastructure Research 12 (3): 310–331. Duan, X., G. Xu, and S. Yu. 2012. Application of attribute theory for container throughput forecast. In Granular computing (GrC), 2012 IEEE international conference, 102–107. Farhan, J., and G.P. Ong. 2018. Forecasting seasonal container throughput at international ports using SARIMA models. Maritime Economics and Logistics 20 (1): 131–148. Flinders, M. 2005. The politics of public–private partnerships. The British Journal of Politics and International Relations 7 (2): 215–239. Gao, Y., M. Luo, and G. Zou. 2016. Forecasting with model selection or model averaging: A case study for monthly container port throughput. Transportmetrica A: Transport Science 12 (4): 366–384. Gosasang, V., W. Chandraprakaikul, and S. Kiattisin. 2011. A comparison of traditional and neural networks forecasting techniques for container throughput at Bangkok Port. The Asian Journal of Shipping and Logistics 27 (3): 463–482. Haimes, Y.Y., and P. Jiang. 2001. Leontief-based model of risk in complex interconnected infrastructures. Journal of Infrastructure Systems 7 (1): 1–12. Hammami, M., J.-F. Ruhashyankiko, and E.B. Yehoue. 2006. Determinants of public–private partnerships in infrastructure. IMF Working Paper 99: 1–37. Jacobs, W., and T. Notteboom. 2011. An evolutionary perspective on regional port systems: The role of windows of opportunity in shaping seaport competition. Environment and Planning A 43 (7): 1674–1692. Jiang, F., and K. Lei. 2009. Grey prediction of port cargo throughput based on GM(1, 1, a) model. Logistics Technology 9: 68–70. Koppenjan, J.J. 2005. The formation of public–private partnerships: Lessons from nine transport infrastructure projects in The Netherlands. Public Administration 83 (1): 135–157. Kulkarni, N., and A. Prusty. 2007. Bidding strategy for BOT port terminal projects in India. Journal of Structured Finance 12 (4): 90. Lam, W.H., P.L. Ng, W. Seabrooke, and E.C. Hui. 2004. Forecasts and reliability analysis of port cargo throughput in Hong Kong. Journal of Urban Planning and Development 130 (3): 133–144. Lättilä, L., and O.-P. Hilmola. 2012. Forecasting long-term demand of largest Finnish sea ports. International Journal of Applied Management Science 4 (1): 52–79. McCarthy, T.M., D.F. Davis, S.L. Golicic, and J.T. Mentzer. 2006. The evolution of sales forecasting management: A 20-year longitudinal study of forecasting practices. Journal of Forecasting 25: 303–324. Metcalfe, L., and S. Richards. 1990. Improving public management, 2nd ed. London: Sage. Mu, R., M. de Jong, and J. Koppenjan. 2011. The rise and fall of public-private partnerships in China: A path-dependent approach. Journal of Transport Geography 19 (4): 794–806. Notteboom, T., and J.P. Rodrigue. 2009. The future of containerization: Perspectives from maritime and inland freight distribution. GeoJournal 74 (1): 7–22. Notteboom, T., F. Parola, G. Satta, and L. Penco. 2015. Disclosure as a tool in stakeholder relations management: A longitudinal study on the Port of Rotterdam. International Journal of Logistics Research and Applications 18 (3): 228–250. Notteboom, T., and W. Winkelmans. 2001. Reassessing public sector involvement in European seaports. International Journal of Maritime Economics 3 (2): 242–259. Notteboom, T.E., F. Parola, and G. Satta. 2019. The relationship between transhipment incidence and throughput volatility in North European and Mediterranean container ports. Journal of Transport Geography 74: 371–381. Notteboom, T.E., and H.E. Haralambides. 2020. Port management and governance in a post-COVID-19 era: Quo vadis? Maritime Economics and Logistics 22 (3): 329–352. Paixao, A.C., and P.B. Marlow. 2003. Fourth generation ports—A question of agility? International Journal of Physical Distribution and Logistics Management 33 (4): 355–376. Pallis, A.A., T. Notteboom, and P.W. de Langen. 2010. Concession agreements and market entry in the container terminal industry. Maritime Economics and Logistics 10 (3): 209–228. Panayides, P.M., F. Parola, and J.S.L. Lam. 2015. The effect of institutional factors on public–private partnership success in ports. Transportation Research Part A: Policy and Practice 71: 110–127. Pang, G., and B. Gebka. 2017. Forecasting container throughput using aggregate or terminal-specific data? The case of Tanjung Priok Port, Indonesia. International Journal of Production Research 55 (9): 2454–2469. Parola, F., and A. Sciomachen. 2009. Modal split evaluation of a maritime container terminal. Maritime Economics and Logistics 11 (1): 77–97. Parola, F., and S. Maugeri. 2013. Origin and taxonomy of conflicts in seaports: Towards a research agenda. Research in Transportation Business and Management 8: 114–122. Parola, F., G. Satta, L. Penco, and G. Profumo. 2013a. Emerging Port Authority communication strategies: Assessing the determinants of disclosure in the annual report. Research in Transportation Business and Management 8: 134–147. Parola, F., T. Notteboom, G. Satta, and J.P. Rodrigue. 2013b. Analysis of factors underlying foreign entry strategies of terminal operators in container ports. Journal of Transport Geography 33: 72–84. Peng, W.Y., and C.W. Chu. 2009. A comparison of univariate methods for forecasting container throughput volumes. Mathematical and Computer Modelling 50 (7): 1045–1057. Qiuhong, Z. 2009. Application of Grey model in forecasting the Port of Qinhuangdao’s throughput. In 2009 IITA international conference on services science, management and engineering, 57–60. Rashed, Y., H. Meersman, C. Sys, E. Van de Voorde, and T. Vanelslander. 2015. Scenario-based forecasting of container throughput: A conceptual framework. In International Association of Maritime Economists (IAME) conference 2015, Kuala Lumpur (Malaysia), 24–26 August. Rashed, Y., H. Meersman, C. Sys, E. Van de Voorde, and T. Vanelslander. 2018. A combined approach to forecast container throughput demand: Scenarios for the Hamburg–Le Havre Range of ports. Transportation Research Part A: Policy and Practice 117: 127–141. Rashed, Y., H. Meersman, E. Van de Voorde, and T. Vanelslander. 2013. A univariate analysis: Short-term forecasts of container throughput in the Port of Antwerp (No. 2013022). Rashed, Y., H. Meersman, E. Van de Voorde, and T. Vanelslander. 2017. Short-term forecast of container throughout: An ARIMA-intervention model for the Port of Antwerp. Maritime Economics and Logistics 19 (4): 749–764. Ripley, B.D. 1994. Neural networks and related methods for classification. Journal of the Royal Statistical Society: Series B (Methodological) 56 (3): 409–456. Satta, G. 2017. Initial public offerings in the port industry: Exploring the determinants of underpricing. Maritime Policy and Management 44 (8): 1012–1033. Satta, G., and L. Persico. 2015. Entry mode choices of rapidly internationalizing terminal operators: The determinants of the degree of control on foreign ventures. Maritime Economics and Logistics 17 (1): 97–126. Satta, G., T. Notteboom, F. Parola, and L. Persico. 2017. Determinants of the long-term performance of initial public offerings (IPOs) in the port industry. Transportation Research Part A: Policy and Practice 103: 135–153. Stopford, M. 2009. Maritime economics, 3rd ed. London: Routledge. Talluri, K. T., and G. J. Van Ryzin. 2004. Estimation and forecasting. In The theory and practice of revenue management, 407–514. New York: Springer. Taneja, P., W.E. Walker, H. Ligteringen, M. Van Schuylenburg, and R. Van Der Plas. 2010. Implications of an uncertain future for port planning. Maritime Policy and Management 37 (3): 221–245. Tian, X., L. Liu, K.K. Lai, and S. Wang. 2013. Analysis and forecasting of port logistics using TEI@ I methodology. Transportation Planning and Technology 36 (8): 685–702. Tranfield, D., D. Denyer, and P. Smart. 2003. Toward a methodology for developing evidence informed management knowledge by means of systematic review. British Journal of Management 14: 207–222. Trujillo, L., E. Quinet, and A. Estache. 2002. Dealing with demand forecasting games in transport privatization. Transport Policy 9 (4): 325–334. Twrdy, E., and M. Batista. 2016. Modeling of container throughput in Northern Adriatic ports over the period 1990–2013. Journal of Transport Geography 52: 131–142. Van Dorsser, J.C.M., M. Wolters, and G.P. Van Wee. 2012. A very long term forecast of the port throughput in the Le Havre-Hamburg Range up to 2100. European Journal of Transport and Infrastructure Research 12 (1): 88–110. Verhoeven, P. 2010. A review of port authority functions: towards a renaissance? Maritime Policy and Management 37 (3): 247–270. Vonck, I., and T. Notteboom. 2016. Panarchy within a port setting. Journal of Transport Geography 51: 308–315. Xiao, Y., J. Xiao, and S. Wang. 2012. A hybrid forecasting model for non-stationary time series: An application to container throughput prediction. International Journal of Knowledge and Systems Science 3 (2): 67–82. Xie, G., S. Wang, Y. Zhao, and K.K. Lai. 2013. Hybrid approaches based on LSSVR model for container throughput forecasting: A comparative study. Applied Soft Computing 13 (5): 2232–2241. Xu, Z.G. 2011. Based on the prediction of self-regression model of the Port of Shanghai port cargo throughput. Journal of Wuhan Technical College of Communications 13 (1): 71–74. Zhang, C., L. Huang, and Z. Zhao. 2013. Research on combination forecast of port cargo throughput based on time series and causality analysis. Journal of Industrial Engineering and Management 6 (1): 124.