Page 79 - 360.revista de alta velocidad Nº3
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Reseñas de Libros, Artículos y Publicaciones                  número 3. octubre 2015

                      consideration of inter-modal and intra-modal competition, (ii) the presence of public and
                      private operators, and (iii) endogenous service frequency. After calibrating the model using
                      actual data  from two Spanish High Speed Rail lines, simulation exercises allow us to
                      conclude the following. Privatization, whether entry occurs or not, would prompt  an
                      increase  in prices and a reduction in the number of train  services, eventually leading to
                      welfare decreases, as compared with a regime where the incumbent rail operator remained
                      public. Entry is found to  be welfare improving  only when it generates large increases  in
                      traffic.  Otherwise welfare losses would materialize even though entry  raised  some
                      efficiency gains.
                      Keywords: High Speed Rail; Privatization; Entry; Strategic interaction; Welfare


                       Castillo-Manzano, J.I.  Pozo-Barajas,  R. Trapero, J.R. (2015) Measuring the
                         substitution effects between High Speed Rail and air transport in Spain, Journal
                         of Transport Geography,  Volume 43,   Pages 59-65, ISSN 0966-6923,
                         http://dx.doi.org/10.1016/j.jtrangeo.2015.01.008.

                      (http://www.sciencedirect.com/science/article/pii/S0966692315000101)
                      Abstract: The main objective of this paper is to estimate the impact that the expansion of
                      the HSR network has had on  air transport in Spain by estimating the substitution effect
                      between the two types of transportation. This  paper considers the way that the HSR
                      network has grown and how this growth could have affected air transport dynamically. The
                      findings show that a dynamic vision of this substitution rate should be adopted, as opposed
                      to assuming that the rate is constant, as has been the case in previous references. Although
                      the rate varies significantly over the study period, only 13.9% of HSR passenger demand was
                      found to have come from air travel  during the 1999–2012 period,  meaning that HSR  and
                      airlines would seem to offer more independent services than at first it might appear. This
                      confirms the hypothesis  as to the HSR’s great ability to generate its own  demand.  The
                      substitution rate between the two transport modes seems to be closely linked to the way
                      that any new stations are incorporated into the  HSR network. Convergence between the
                      seasonality of HSR and air transport has also  been examined.  The results  show that it is
                      difficult to talk of a real HSR transport network in Spain.
                      Keywords: High Speed Rail; Airlines; Substitution effects; Dynamic Linear Regression; Time
                      Varying Parameter; Spain


                       Guirao, B.  Campa,  J.L. July 2015. The effects of tourism on HSR: Spanish
                         empirical evidence derived from a multi-criteria corridor selection methodology,
                         Journal  of Transport Geography, Volume 47,  Pages 37-46, ISSN  0966-6923,
                         http://dx.doi.org/10.1016/j.jtrangeo.2015.07.010.

                      (http://www.sciencedirect.com/science/article/pii/S0966692315001337)
                      Abstract: The exorbitant cost  of new High-Speed  Rail (HSR) lines requires a selection
                      methodology to define which HSR corridors within a network should be built first, and the
                      most suitable evaluation tool appears to be  the  multi-criteria approach. In any corridor-
                      ranking methodology, and especially in countries with high tourism attractiveness, tourism
                      impacts on HSR should be considered as a variable.

                      In addition to economic geography and destination choice models, the current literature on
                      tourism demand is dominated by econometric models using  a  single-equation time-series
                      based approach. However little research has been done so far on methodologies to rank HSR
                      corridors taking into account the tourism variable. In 2014, a ranking  methodology



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