High Speed Rail (HSR) induced demand models

Recent High Speed Rail (HSR) investments in Italy, together with the entrance in the HSR market of a new private operator competing with the national incumbent, create the conditions for a unique case study, to investigate the behaviour of longdistance passengers. In this paper a modelling framework developed to forecast the national passenger demand for different macroeconomic, transport supply, and HSR marketing scenarios is presented, focusing on the sub-models forecasting induced demand.

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

[2]  Daniel J. Graham,et al.  The impact of high-speed technology on railway demand , 2007 .

[3]  Agostino Nuzzolo,et al.  Changing accessibility, dwelling price and the spatial distribution of socio-economic activities , 2011 .

[4]  Pierluigi Coppola,et al.  Competition on fast track: an analysis of the first competitive market for HSR services , 2014 .

[5]  Oskar Fröidh,et al.  Market effects of regional high-speed trains on the Svealand line , 2005 .

[6]  Hun-Koo Ha,et al.  Analysis of the impact of high-speed railroad service on air transport demand , 2006 .

[7]  Enjian Yao,et al.  A study of on integrated intercity travel demand model , 2005 .

[8]  Wenming Chung,et al.  A model for market share distribution between high-speed and conventional rail services in a transportation corridor , 1997 .

[9]  Juan Carlos Martín,et al.  Microeconomic impacts of investments in high speed trains in Spain , 2007 .

[10]  Werner Rothengatter,et al.  A disaggregate Box-Cox Logit mode choice model of intercity passenger travel in Germany and its implications for high-speed rail demand forecasts , 1997 .

[11]  Mark Wardman,et al.  Demand for rail travel and the effects of external factors , 2006 .

[12]  Nigel H. M. Wilson,et al.  Schedule-Based Dynamic Transit Modeling: Theory and Applications (Operations Research/Computer Science Interfaces, 28) , 2004 .

[13]  Concepción Román,et al.  Competition of high-speed train with air transport: The case of Madrid–Barcelona , 2007 .

[14]  Guido Gentile,et al.  Section 7.5 - Dynamic traffic assignment with non separable link cost functions and queue spillovers , 2009 .

[15]  Pierluigi Coppola,et al.  High-Speed Rail Demand: Before-and-After Evidence from the Italian Market , 2013 .

[16]  Pierluigi Coppola,et al.  An elastic demand schedule-based multimodal assignment model for the simulation of high speed rail (HSR) systems , 2012, EURO J. Transp. Logist..

[17]  Oskar Fröidh,et al.  Perspectives for a future high-speed train in the Swedish domestic travel market , 2008 .

[18]  Andrea Papola,et al.  High speed rail demand forecasting in a competitive market: the italian case study , 2010 .