Input/Output models for freight transport demand: a macro approach to traffic analysis for a freight corridor

Authors

DOI:

https://doi.org/10.5604/01.3001.0014.2729

Keywords:

freight traffic, freight traffic model, Input-Output model, freight corridors, freight transport intensity

Abstract

Input Output model are of great interest in the transport sector, especially regarding freight transport demand. These models allow to analyze the cross effects of: political, macroeconomic and transport changes; industrial dynamics; exchange flows between different sites within a reference area, more or less divided into subareas. Although very interesting and desirable to be used and disseminated, their use is often hindered by the complexity of the modelling structures that need to describe the interactions with the transport systems and by the difficulty of finding complete and reliable data. In this context, this paper deals with a macro-level Input Output approach for freight demand analysis, which directly relates the quantities of goods transported along a multimodal corridor to the functioning of the economic system. The proposed model is structured on two levels: the first level allows the sectoral production forecasts of the entire economic system based on the exogenous final demand; the second allows the forecast of tons transported, annually and by sector, along the corridor based on the sectoral production estimated at the first level. The two modelling levels are applied to the analysis and forecast of freight traffic demand along the Italian-Austrian cross-border stretch of the Brenner corridor, a fundamental axis of the European transport infrastructure network. The model has been verified and validated on data covering 15 years between 2000 and 2014 using the reclassified time series of Input Output tables and the international trade data for Italy. The model has been used to produce medium-long term forecasts for different economic scenarios. The macro-level point of view and the application for the corridor provide a simple and directly applicable model compared to the complex articulations that characterize the Input Output applications to the transport systems, which can hinder their concrete use as decision support in the planning of transport infrastructures.

References

Åhman, M., 2004. A Closer Look at Road Freight Transport and Economic Growth in Sweden. Are There Any Opportunities for Decoupling?. Report 5370, Lund University, Sweden.

Alises, A., & Vassallo, J. M., 2015. Comparison of road freight transport trends in Europe. Coupling and decoupling factors from an In-put–Output structural decomposition analysis. Transportation Research Part A: Policy and Practice, 82, 141-157.

Alises, A., & Vassallo, J. M., 2016. The impact of the structure of the economy on the evolution of road freight transport: a macro analysis from an Input-Output approach. Transportation Research Procedia, 14, 2870-2879.

Alises, A., Vassallo, J. M., & Guzmán, A. F., 2014. Road freight transport decoupling: A comparative analysis between the United Kingdom and Spain. Transport Policy, 32, 186-193.

Alpine Convention, 2007. Relazione sullo Stato delle Alpi. Segnali alpini – Edizione Speciale 1 - Trasporti e mobilità nelle Alpi.

Aroche Reyes, F., & Marquez Mendoza, M .A., 2014. The Demand Driven and the Supply Sided Input-Output Models. Notes for the debate. Technical Report, Munich: University Library of Munich.

Bacharach, M., 1970. Biproportional Matrices and Input–Output Change. Cambridge: Cambridge University Press.

Bachmann, C., Kennedy, C., & Roorda, M. J., 2014. Applications of random-utility-based multi-region input–output models of transport and the spatial economy. Transport Reviews, 34(4), 418-440.

Brunel, J., 2005. Freight Transport and Economic Growth: An Empirical Explanation of the Coupling in the EU Using Panel Data. HAL Post-Print halshs-00004826.

Cascetta, E., 2009. Transportation systems analysis: models and applications, (Vol. 29). Berlin/Heidelberg: Springer Science & Busi-ness Media.

Cascetta, E., 2019. Infrastrutture e logistica nei nuovi scenari economici. Il ruolo del Brennero. Presentation at the Trento Festival of Economics, Trento (Italy), May 2019.

Cascetta, E., Marzano, V., Papola, A., & Vitillo, R., 2013. A multimodal elastic trade coefficients MRIO model for freight demand in Europe. In M. E Ben-Akiva & H. Meers-man, E. Van de Voorde (Eds.), Freight Transport Modelling. Bingley: Emerald Group Publishing Limited.

Chenery, H., 1953. The structure and growth of the Italian economy. In H. Chenery & P. Clark (Eds.), Regional Analysis. Rome: United States Mutual Security Agency.

D’Antonio, M., 1980. Analisi delle interdipendenze settoriali: teoria ed applicazioni empiriche. Napoli: Liguori.

De la Barra, T., 1989. Integrated land use and transport modelling: decision chains and hierarchies. Cambridge: Cambridge University Press.

De Mesnard, L., 2009. Is the Ghosh model interesting?. Journal of Regional Science 49(2), 361-372.

Deming, W. E., & Stephan, F. F., 1940. On a least-squares adjustment of a sampled frequency table when the expected marginal totals are known. Ann. Math. Stat., 11, 427-444.

DG Move - Swisse OFT,2019. Observation et analyse des flux de transports de marchandises transalpins. Rapport annuel 2017.

Duchin F., & Steenge, A. E., 2007. Mathematical models in input-output economics. Troy: Rensselaer Polytechnic Institute.

European Commission, 2007. Regulation (EC) No 1304/2007 of 7 November 2007 amending Directive 95/64, Regulation (EC) No 1172/98, Regulations (EC) No 91/2003 and (EC) No 1365/2006 with respect to the establishment of NST 2007 as the unique classification for transported goods in certain transport modes.

European Commission, 2018. Transalpine Freight Traffic Flows: Summary Report on CAFT-Surveys 2014/15 Alpine Arc from Ventimiglia to Wechsel. European Commission, DG MOVE and Swiss Federal Office of Transport (FOT).

GECT Euregio Tirolo-Alto Adige- Trentino, 2018. Deliberazione n.01/2018 della Giunta del GECT Euregio Tirolo-Alto Adige- Trentino, Strategia dell’Euregio per il trasferimento del traffico dalla strada alla rotaia: obiettivi strategici per una politica dei trasporti comune, coerente e sostenibile lungo l’asse del Brennero.

GEIE BBT., 2002. Report sintesi 2002.

Ghosh, A., 1958. Input-output approach in an allocation system. Economica 25(97), 58-64.

Ghosh, A., 1964. Experiments with Input-out-put Models: An Application to the Economy of the United Kingdom. Cambridge: Cambridge University Press.

Gruver, G. W., 1989. On the plausibility of the supply-driven input-output model: a theoretical basis for input-coefficient change. Journal of Regional Science 29 (3), 441-450.

I.Stat, 2019. Banca dati delle statistiche correntemente prodotte dall’Istituto nazionale di statistica

iMONITRAF!, 2018. Annual Report 2018 Innovative technologies and the future of iMONITRAF!

Isard, W., 1951. Interregional and regional in-put-output analysis: a model of a space-economy. The review of Economics and Statistics, 318-328.

Istat Coeweb, 2019. International Trade Statistics.

Jin, L., Kockelman, K., & Zhao, Y., 2005. Tracking Land Use, Tracking land use, transport, and industrial production using random-utility-based multiregional input–output models: Applications for Texas trade. Journal of Transport Geography, 13(3), 275-286.

Krata, P., 2010. Implementation of gravity model to estimation of transportation market shares. Archives of Transport, 22, 83-96.

Kveiborg, O., & Fosgerau, M., 2007. Decomposing the Decoupling of Freight Traffic Growth and Economic Growth. Transport Policy, 14, 39–48.

Lakshmanan, T. R., 2011. The broader economic consequences of transport infrastructure investments. Journal of transport geography, 19(1), 1-12.

Lee, M. K., & Yoo, S. H., 2016. The role of transportation sectors in the Korean national economy: An input-output analysis. Transportation Research Part A: Policy and Practice, 93, 13-22.

Leontief, W., 1936. Quantitative Input and Output Relations in the Economic System of the United States. The review of economic statistics, 18, 105-125.

Leontief, W., 1941. The Structure of American Economy 1919–1939. New York: Oxford.

Leontief, W., 1966. Input-Output Economics. New York: Oxford University Press.

Mauro R., & Cattani, S., 2018. Freight traffic forecasts at the Brenner pass. Ingegneria Ferroviaria, (10), 1-24.

Mauro, R., & Pompigna A., 2019. Dynamic aggregate models for forecasting of freight demand and road/railway modal split at the Brenner. Ingegneria Ferroviaria, (7-8), 555-589.

Mauro, R., & Pompigna, A., 2020. Input Output Models for freight transport demand forecasting. Ingegneria Ferroviaria (3), 181-203.

McKinnon, A. C., 2007. The Decoupling of Road Freight Transport and Economic Growth Trends in the UK: An Exploratory Analysis. Transport Reviews, 27(1), 37-64.

Miller, R. E., & Blair, P. D., 2009. Input-out-put analysis: foundations and extensions. Cambridge: Cambridge university press.

Min, Y., Kockelman, K. M., Zhao, Y., & Jin, L., 2001. Models of location, trade & travel: an application of random utility based inter-zonal input-output models. In Proc. 48th North American Annual Meetings RSAI, Charleston, South Carolina.

Moses, L. N., 1955. The stability of interregional trading patterns and input-output analysis. The American Economic Review, 45, 803-832.

Nocera, S., Cavallaro, F., & Galati, O. I., 2018. Options for reducing external costs from freight transport along the Brenner corridor. European Transport Research Review, 10(2), 53.

Oosterhaven, J., 1988. On the plausibility of the supply-driven input-output model. J. Reg. Sci., 28 (2), 203-217.

Pompigna, A., & Rupi, F., 2018. Comparing practice-ready forecast models for weekly and monthly fluctuations of average daily traffic and enhancing accuracy by weighting methods. Journal of Traffic and Transportation Engineering (English Edition), 5(4), 239-253.

ProgTrans, Previsioni del traffico nel Corridoio del Brennero – Relazione di sintesi 2014-2030.

Pyza, D., 2011. Multicriteria evaluation of transportation systems in supply chains. Archives of Transport, 23, 47-65.

ScanMed RFC, 2014. Transport Market Study for the Scandinavian Mediterranean RFC – Final Report.

Schaffer, W. A., 1999. Regional impact models. Morgantown: Regional Research Institute, West Virginia University.

Tavasszy, L., & De Jong, G., 2014 Modelling freight transport. Amsterdam: Elsevier.

Timmer, M. P., Dietzenbacher, E., Los, B., Stehrer, R., & De Vries, G. J., 2015. An illustrated user guide to the world input–output database: the case of global automotive production. Review of International Economics, 23(3), 575-605.

Timmermans, H. J., 2003. The saga of integrated land use-transport modeling: how many more dreams before we wake up?. In Proc. IATBR Conference, Lucerne, Switzerland.

Yu, H., 2018. A review of input–output models on multisectoral modelling of transportation–economic linkages. Transport Reviews, 38(5), 654-677.

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Published

2020-06-30

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How to Cite

Pompigna, A., & Mauro, R. (2020). Input/Output models for freight transport demand: a macro approach to traffic analysis for a freight corridor. Archives of Transport, 54(2), 21-42. https://doi.org/10.5604/01.3001.0014.2729

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