The Open Transportation Journal




ISSN: 1874-4478 ― Volume 13, 2019
RESEARCH ARTICLE

The Effects of Investments in New Transport Technologies such as HSR on the Tourism Industry



Francesca Pagliara*, Filomena Mauriello
Department of Civil, Architectural and Environmental Engineering, University of Naples, Naples, Federico II, Italy

Abstract

Background:

The transportation industry and the tourism market are related to each other. Specifically a place with an efficient transportation system can be in general considered a good tourist destination.

Objective:

In this manuscript, the objective is to demonstrate whether the presence of High Speed Rail can affect tourists' choices of a given destination for their holidays. The case study of Italy has been taken into account.

Methods and Results:

An empirical analysis has been carried out with the help of a dataset containing information both on tourism and transport.

The results, in the case of the number of overnights, spent both by Italians and foreigners, show that the main variables having an impact are the HSR and Attraction ones.

Conclusion:

This paper has found evidence of a relationship between High Speed Rail and tourism outcomes in terms of the choice of this transport mode by tourists as well as an effect is registered on the number of overnights spent by them.

Keywords: High Speed Rail system, Tourist behavior, Overnights, Tourism market, Tourism industry, Transportation industry.


Article Information


Identifiers and Pagination:

Year: 2019
Volume: 13
First Page: 35
Last Page: 40
Publisher Id: TOTJ-13-35
DOI: 10.2174/1874447801913010035

Article History:

Received Date: 31/01/2019
Revision Received Date: 27/03/2019
Acceptance Date: 10/04/2019
Electronic publication date: 30/04/2019
Collection year: 2019

Article Metrics:

CrossRef Citations:
0

Total Statistics:

Full-Text HTML Views: 470
Abstract HTML Views: 349
PDF Downloads: 174
ePub Downloads: 139
Total Views/Downloads: 1132

Unique Statistics:

Full-Text HTML Views: 311
Abstract HTML Views: 220
PDF Downloads: 123
ePub Downloads: 94
Total Views/Downloads: 748
Geographical View

© 2019 Pagliara et al.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


* Address correspondence to this author at the Department of Civil, Architectural and Environmental Engineering, University of Naples Federico II, Naples, Italy;
Tel: +390817683932; E-mail: fpagliar@unina.it





1. INTRODUCTION

The determination of the impacts of an infrastructure on tourism is extremely important for governments intending to promote this type of intervention. The coordination among the different stakeholders is crucial for making a given destination competitive with respect to others. For this motivation, an infrastructure has to be coordinated with other aspects such as destination promotion, image, coordination of local stakeholders and marketing on local tourism and community. On the other hand, understanding tourists' needs is becoming increasingly complex since today they have easy access to information and they are more focused on the quality–price equilibrium. Moreover, information technologies are shaking up the decision making processes since they have opened the access to more demand targets and have allowed new forms of web-specialized organizations, like internet providers, which have become market leaders [1F. Pagliara, A. La Pietra, J. Gomez, and J.M. Vassallo, "High Speed Rail and the tourism market: Evidence from the Madrid case study", Transp. Policy, vol. 37, pp. 187-194.[http://dx.doi.org/10.1016/j.tranpol.2014.10.015] ]. Moreover, globalization is another important aspect, making competition higher since each organization has to compete with many others at the international level.

The transportation system is made upon the demand system, i.e. users/passengers asking to move in the different parts of the territory and the supply system, made up of the transport infrastructures, services and rules. Tourists represent a particular category of users, travelling for the purpose of tourism.It is a common wisdom that a country with an efficient transportation system can be considered a tourist destination. Indeed a highly accessible destination to transport facilities can become an attraction for tourists [2R.N. Kaul, Dynamics of tourism: A trilogy., Sterling: New Delhi, ., 3J. Khadarooa, and B. Seetanah, "The role of transport infrastructure in international tourism development: A gravity model approach", Tour. Manage., vol. 29, pp. 831-840.[http://dx.doi.org/10.1016/j.tourman.2007.09.005] ].

During the centuries, the means of transport have been changing according to the development of technology. There is no doubt that the transportation system is undergoing a change and the traditional transportation market aims at understanding this new approach. The introduction of new transportation innovations has been explosive in the recent years, and this growth promises to continue in the coming years. This new trend perfectly follows the above phenomenon.

Since the origin of railways in Europe during the Industrial Revolution at the beginning of the 19th century, the speed of passengers trains represented a sign of technological development of the most advanced countries at that time [4M.T. Ahi, and K. Yildiz, "Determining performance criteria of railway market: A case study", J. Open Innov., pp. 4-6.[http://dx.doi.org/10.1186/s40852-018-0084-5] ]. The Shinkansen High Speed Rail (HSR) inaugurated in Japan in 1964, represented a real breakthrough in transport technologies thanks to the increase in speeds. Major investments on High Speed Rail systems have been recently carried out all around the world. Europe, together with Asia, is the leader in HSR systems.

The theoretical framework of this contribution is based on the identification of the significance of the role of the transportation system, and in particular of HSR, as a factor in the development of a tourist destination [5B. Prideaux, "The role of the transport system in destination development", Tour. Manage., vol. 21, pp. 53-63.[http://dx.doi.org/10.1016/S0261-5177(99)00079-5] ]. Indeed if the ability of tourists to travel to preferred destinations is inhibited by inefficiencies in the transportation system there is some likelihood that they will seek alternative destinations. That the transport industry and the tourism market are strictly related to each other is clearly highlighted in the nine Kaul's postulates [6Transportation and Marketing., vol. 111, Sterling Publishers: New Delhi, .R.N. Kaul, Dynamics of tourism: A trilogy]. Among them, the evolution of tourism is a function of the development of the means of transport; tourism is a mass phenomenon, calling for transport and other facilities suitable for each category; the quality of transport services offered influences the type of tourist flow. Moreover, the planned development, maintenance and operation of transport infrastructure under a well conceived overall transport policy, to meet the present and future technology and demand requirements, is the key to the success of the transportation system contributing to the growth of tourism. The book of Page [7S.J. Page, Transport for Tourism., Cengage Learning, .], on transport for tourism, provides a novel and stimulating assessment of the effects of tourism travel and the challenge this poses for transport planners, providers and policy makers in the 1990s. The book covers key topics such as the role of government policy, supply and demand relationships, quality control systems, health and sustainability, and environmental impact. A range of international case studies, including transport in Bermuda, Singapore airways, British airways and Japanese transport systems, provide insight into these issues. The interdisciplinary approach ensures a holistic treatment of this important topic.

In their book, Hall et al. [8C.M. Hall, D. Le-Klähn, and Y. Ram, Tourism, Public Transport and Sustainable Mobility., Channel View Publications, .], a comprehensive global examination of the relationship between public transport and tourism is provided as well as exploring other sustainable transport modes. It offers a unique view by analysing tourism through the public transport lens and vice versa. The volume provides an account of how the public transport experience can be improved for tourists so that its value can be maximised and a greater number of people can be encouraged to shift modes. It features a wide range of case studies and examples showing how the tourism industry, as well as regional economies, communities and the environment, benefit when public transport is widely used by tourists.

It is on these aspects that the present paper manages to provide a contribution to the international literature, focusing on the recent investments in HSR systems that several countries are now undertaking. Indeed HSR is changing travelers' behavior thanks to its power of shrinking space and thus increasing the accessibility to a given destination. Masson and Petiot [9S. Masson, and R. Petiot, "Can the high speed rail reinforce tourism attractiveness? The case of the high speed rail between Perpignan (France) and Barcelona (Spain)", Technovation, vol. 29, pp. 611-617.[http://dx.doi.org/10.1016/j.technovation.2009.05.013] ] stated that the introduction of HSR can improve tourists’ utility and thus reinforce the attractiveness of a territory.

The structure of the paper is as follows. In section 2 the case study of the High Speed/High Capacity Rail system in Italy has been considered together with the methodology. Section 3 reports the results, while section 4 concerns the conclusions and further perspectives.

2. THE CASE STUDY

The High Speed/High Capacity (HS/HC) Rail project in Italy has been taken into account as case study. The first section was inaugurated in 1992 with the “Direttissima” Roma-Firenze and today the network is of 1,400km. It serves big metropolitan cities, while the South of Italy has not benefited from any intervention in this new technology.

In 2015, Italy showed positive travel and tourism trends thanks also to the EXPO event in Milan, which provided an increase of tourists [10M. Delaplace, F. Pagliara, J. Perrin, and S. Mermet, "Can High Speed Rail foster the choice of destination for tourism purpose?", Procedia Soc. Behav. Sci., vol. 111, pp. 166-175.[http://dx.doi.org/10.1016/j.sbspro.2014.01.049] ].

The transportation system and tourism market in Italy are expected to provide a positive performance and continue to grow [11"Euromonitor . Travel in Italy, ", http://www. euromonitor. com/ travel- in- italy].

3. THE METHODOLOGY

An empirical analysis has been carried out with the help of a dataset containing information both on tourism and transport for 77 Italian provinces, during the 2006-2013 period. The dataset is composed of 615 observations (77 cities x 8 years). The number of provinces considered here is the ones of the Italian regions excluding Basilicata, Puglia, Calabria, Sicilia and Sardinia regions, which did not experience any investment in HSR. The variables chosen are:

  • ITALIAN_Tourists: no. of Italian Tourists (dependent variable, Census data);
  • FOREIGN_Tourists: no. of Foreign Tourists (dependent variable, Census data);
  • ITALIAN_Overnights: no. of nights spent by Italian tourists in tourist installations (dependent variable, Census data);
  • FOREIGN_Overnights: no. of nights spent by Italian tourists in tourist installations (dependent variable, Census data);
  • HSR: dummy equal to 1 if HSR is available, 0 otherwise (independent variable);
  • POPULATION: no. of residents (independent variable, Census data);
  • LOW-COST: no. of operating low-cost airlines bases (independent variable);
  • GDP: is the Gross Domestic Product (independent variable, Census data);
  • HUB: is a binary variable taking value 1 if the airport is a hub of a network carrier; 0 otherwise;
  • %UNEMPLOYMENT: percentage of unemployment in the province (independent variable, Census data);
  • Attraction: no. of museums in a given destination (independent variable, Census data).

Two steps characterize the proposed methodology, i.e. the pre-processed testing and the multivariate analysis. In the first step, the impact of HSR (i.e. presence of HSR) on the four dependent variables has been studied, starting with the trend of their distribution functions.

In order to evaluate the difference between the distribution functions, i.e. one for the Before HSR and the other for the After HSR scenarios, for each of the four dependent variables, two inference tests, i.e. the Kolmogorov–Smirnov and Mann–Whitney ones, were performed. For both of them, the null hypothesis is rejected when the p-value is lower than α = 0,05, meaning that between the two distribution functions there is a statistically significant difference [12A. Montella, V. Punzo, S. Chiaradonna, F. Mauriello, and M. Montanino, "Point-to-point speed enforcement systems: Speed limits design criteria and analysis of drivers’ compliance", Transp. Res., Part C Emerg. Technol., vol. 53, pp. 1-18.[http://dx.doi.org/10.1016/j.trc.2015.01.025] ].

In Table 1 the results of the tests have been carried out. As the computed p-value is lower than α =0,05, the null hypothesis is rejected, otherwise, the alternative hypothesis is accepted, this means that there is a difference and therefore the increase of tourists (both Italians and Foreigners) and the number of nights (spent both by Italians and Foreigners) have been affected by the presence of HSR.

Table 1
Test results.


The second step of the methodology concerns the multivariate analysis, which strengthens the preliminary statistical results.

In this study, the dependent variables can assume non-negative integer values. Moreover, they have been modeled through a Poisson distribution, where the probability of a given province i having yit number of tourist per year is given by [13S.P. Washington, M.G. Karlaftis, and F. Mannering, Statistical and econometric methods for transportation data analysis., CRC press: Boca Raton, ., 14A. Montella, and L.L. Imbriani, "Safety performance functions incorporating design consistency variables", Accid. Anal. Prev., vol. 74, pp. 133-144.[http://dx.doi.org/10.1016/j.aap.2014.10.019] [PMID: 25463953] ]

(1)

where P(yi) is the probability of province i having yi tourist per year and λi is the Poisson parameter for province i. In order to investigate the relationship between HSR systems and the tourism market, Poisson regression models have been calibrated. This is a special class of the Generalized Linear Models (GLMs). Furthermore, the data consider measurements over time for the same cities, combing cross-sectional and time-series characteristics, known in literature as panel data. Panel data allows to consistently estimate treatment effects without assuming ignorability of treatment and without an instrumental variable, considering that the treatment varies over time and is uncorrelated with time-varying unobservable affecting the response [15J.M. Wooldridge, Econometric Analysis of Cross Section and Panel Data., The MIT Press, .]. Panel data usually give the researcher a large number of data points, increasing the degrees of freedom and reducing the collinearity among explanatory variables – hence improving the efficiency of econometric estimates [16C. Hsiao, Analysis of Panel Data., 2nd edCambridge University Press, .2nd ed[http://dx.doi.org/10.1017/CBO9780511754203] ]. Modeling this type of data raises new specification issues, such as heterogeneity, which, if not explicitly accounted for, may lead to model parameters that are inconsistent and/or meaningless. A second issue is the serial correlation of the disturbance terms, which occurs in time-series studies when the disturbances associated with observations in one time period are dependent on disturbances from prior time periods. To avoid such errors, the Generalized Estimating Equations (GEE) have been used to analyze panel data [17G.M. Fitzmaurice, N.M. Laird, and J.H. Ware, Applied longitudinal analysis., John Wiley & Sons, .].

The model parameters have been estimated using Maximum Likelihood Estimation (MLE). The significance of each variable has been tested with the t-student statistic, therefore a coefficient is significant when t is greater than 1.96. The goodness of fit has been measured by R2marginal.

3. RESULTS

In the international literature on the relationship between the transport and the tourism industries, it is reported that new transport alternative modes, such as HSR, need the coordination of other factors like destination promotion, image, destination management and marketing on local tourism and community [18F. Pagliara, M. Delaplace, and J.M. Vassallo, "High-speed rail systems and tourists’ destination choice: The case studies of Paris and Madrid", Int. J. Sustain. Dev. Plan., vol. 3, pp. 395-405.[http://dx.doi.org/10.2495/SDP-V10-N3-399-410] -21V. Della Corte, and M. Aria, "Coopetition and sustainable competitive advantage. The case of tourist destinations", Tour. Manage., vol. 54, pp. 524-540.[http://dx.doi.org/10.1016/j.tourman.2015.12.009] ]. Moreover, it emerges that HSR can, in some cases, contribute to the development of tourism since, in general, the inauguration of HSR service generates high expectations [22J.M. Coronado, M. Garmendia, A. Moyano, and J.M. Ureña, "Assessing Spanish HSR network utility for same-day tourism. Recherche", Transport et Sécurité, vol. 29, pp. 161-175.-24M. Delaplace, and J. Perrin, "Multiplication des dessertes TGV et Tourismes urbains et d’affaires, Regards croisés sur la Province et l’Ile de France", Recherche Transport et Sécurité, vol. 29, pp. 177-191.[http://dx.doi.org/10.4074/S0761898013003038a] ].

For example, an increase of tourist flows was highlighted in Taiwan [25Y.H. Cheng, "High-speed rail in Taiwan: New experience and issues for future development", Transp. Policy, vol. 17, no. 2, pp. 51-63.[http://dx.doi.org/10.1016/j.tranpol.2009.10.009] ] and in China, where some cities benefited from a HSR service [26X. Wang, S. Huang, T. Zou, and H. Yan, "Effects of the high speed rail network on China’s regional tourism development", Tour. Manag. Perspect., vol. 1, pp. 34-38.[http://dx.doi.org/10.1016/j.tmp.2011.10.001] ]. Provinces served in China “are likely to have approximate 20 percent additional numbers of foreign arrivals and 25 percent greater tourism revenues than provinces without such systems” [27Z. Chen, and K.E. Haynes, "The impact of high speed rail on tourism development: A case study of Japan", The Open Transportation Journal, vol. 10, pp. 35-44.]. In Japan, the Shinkansen had significant impacts on tourism. Specifically, Kuriharaa and Wu [28T. Kurihara, and L. Wu, "The impact of high speed rail on tourism development: A case study of Japan", Open Transplant. J., vol. 10, pp. 35-44.[http://dx.doi.org/10.2174/1874447801610010035] ] showed that that arrivals increased mainly in cities connected by the extended HSR.

In Spain, as in France, Urena et al. [29J. Urena, P. Menerault, and M. Garmendia, "The high-speed rail challenge for big intermediate cities: A national, regional and local perspective", Cities, vol. 26, no. 5, pp. 266-279.[http://dx.doi.org/10.1016/j.cities.2009.07.001] ] argued that large intermediate cities served by HSR as Lille, Zaragoza or Cordoba registered growth in urban and business tourism.

Delaplace et al. [30M. Delaplace, F. Pagliara, and A. La Pietra, "Does high-speed rail affect destination choice for tourism purpose? Disneyland Paris and Futuroscope case studies", Belgeo, vol. 3, pp. 1-23.] studied the relationship between HSR and the choice of theme parks in France. Specifically, the Disneyland Paris and Futuroscope Parks, which are served by HSR. Results showed that in the case of Disneyland, tourists appreciated the presence of HSR; while for Futuroscope, it was not considered a real alternative transport mode.

However, if an HSR service allows a faster travelling , at the same time, it facilitates to return quickly, minimizing the economic impact [31M. Delaplace, 54th European Regional Science Association Congress, pp. 26-29.Saint-Petersburg, Russia]. This idea has been extensively treated in the book by Hall especially referring to daily-travelers [32M. Hall, Tourism: Rethinking The Social Science Of Mobility., Prentice Hall, .]. The analysis conducted by Bazin et al. [33S. Bazin, C. Beckerich, and M. Delaplace, "Desserte TGV et villes petites et moyennes, une illustration par le cas du tourisme à Arras, Auray, Charleville-Mézières et Saverne", Les Cahiers Scientifiques du Transport, vol. 63, pp. 33-62.], in some small and medium-sized cities in the North, Atlantic and Eastern Europe served by the TGV (Train à Grande Vitesse), showed that, despite an improvement in the accessibility, even in cities with a tourist heritage, the increase in tourists due to the HSR service was small. For cities of intermediate size, positive effects were registered on condition that they were “equipped” with tourist amenities, corresponding to a “basket of goods” among which tourists could choose. City size is also an important factor to consider for the analysis of the relationship between the TGV and the tourism dynamism [34M. Delaplace, Recherche Transports et Sécurité, vol. 28, pp. 290-302.[http://dx.doi.org/10.1007/s13547-012-0041-9] ].

Albalate and Fageda [35D. Albalate, and X. Fageda, "High speed rail and tourism: Empirical evidence from Spain", Transp. Res. Part A Policy Pract., vol. 85, pp. 174-185.[http://dx.doi.org/10.1016/j.tra.2016.01.009] ] and Albalate et al. [36D. Albalate, J. Campos, and J.L. Jiménez, "Tourism and high speed rail in Spain: Does the AVE increase local visitors?", Ann. Tour. Res., vol. 65, pp. 71-82.[http://dx.doi.org/10.1016/j.annals.2017.05.004] ] demonstrated, for the case study of Spain, that HSR effects on the tourism market were not so significant. It is interesting to highlight the variety of situations, referring to specific cases, which underlines the importance of their contextualization. Indeed, HSR and its effects cannot be analysed independently on the socioeconomic characteristics of the areas they serve.

In line with the findings [37F. Pagliara, M. Delaplace, and J.M. Vassallo, "High-Speed trains and tourists: What is the link? Evidence from the French and Spanish capitals", WIT Trans. Built Environ., vol. 138, pp. 17-27.[http://dx.doi.org/10.2495/UT140021] , 38A.S. Fotheringham, C. Brunsdon, and M. Charlton, Geographically Weighted Regression: The Analysis of Spatially Varying Relationships., Wiley: Chichester, .], this manuscript provides an original contribution in terms of the methodology and the results obtained. First of all the proposed methodology, as previously stated, considers panel data since they have the advantage to analyse the dependent variables (in this case the ones related to tourists and overnights) for every province from both the cross-sectional and time-dependent perspectives. Specifically, the added value of this manuscript is that panel data allow analyzing the same sample of cities over time, and thus provides multiple observations for each city. Panel data generate more accurate predictions for the single city than time-series data alone. Moreover, they give the possibility of learning a city by observing the others, in addition to the information on the city itself. The GEE methodology overcomes the limitations of the classical models concerning heterogeneity and correlation. The models have been fitted by using population-averaged Poisson models and assuming that the coefficients of correlation decay exponentially over capture time.

From the analysis of the coefficients 'estimates, it is possible to observe that the variable representing the presence of an HSR station, i.e. HSR, has a positive impact on the number of Italian tourists. This result is in line with some case studies above reported. The Low-Cost variable, indicating the easy access to the plane alternative mode, with its positive and significant coefficient, affect Italian tourists' choices. The Attraction variable is positive and significant having an impact on Italian tourists' destination choice. The unemployment variable is negative and significant, representing, as expected, a negative impact on the number of Italian tourists (Table 2), since they are not attracted by poor places. The variable HSR has also a positive impact on the number of foreign tourists as well as the Attraction variable. Moreover, foreigners are attracted by cities with a high GDP, which is connected with the services provided (Table 3).

Table 2
Italian tourists.


Table 3
Foreign tourists.


The results, in the case of the number of overnights, spent both by Italians and foreigners, show that the main variables having an impact are the HSR and Attraction ones. The socioeconomic POPULATION and GDP variables have a positive effect only on the number of overnights spent by Italian tourists. On the other hand, it is not surprising if the variable has a positive effect on the number of overnights spent by Foreigners (Tables 4 and 5).

Table 4
Overnights spent by Italians.


Table 5
Overnights spent by Foreigners.


CONCLUSIONS AND FURTHER PERSPECTIVE

Investments in transport infrastructures and services, such as HSR, can bring an increase in employment and then a growth of the economy of a country. On the other hand, marketing decisions and strategic planning of tourism need to know the factors having an impact on this choice and the forecast of tourism flows. The development and equipping of terminal and en-route facilities the systematic improvement in infrastructure, the absorption and adoption of new technology and appropriate mass marketing techniques in transport would have a pervasive impact in the continued growth of future world tourism.

Therefore, it is interesting to study how holidaymakers select their holiday destinations and investigate which factors are determining their choices. This has been the focus of this paper, where it has been demonstrated that the transportation system plays an important role in tourists' choices. This is confirmed by the HS/HC Rail project in Italy, where both the number of Italian tourists and overnights are affected by the HSR infrastructure. The Mann-Whitney and Kolmogorov-Smirnov tests show that before and after the HSR inauguration the variables related to tourism are statistically different and thus an effect is registered. This outcome has been reached through the proposed methodology. Indeed, panel data have the advantage to analyse the dependent variables for every province from both the cross-sectional and time-dependent perspectives. Moreover, they give the possibility of generating more accurate predictions than cross section or time-series ones. However, the main disadvantage of this approach is that these data are correlated, thus the classical regression models cannot be used. To overcome this limit, Generalized Estimating Equations have been chosen to estimate the relationship between the tourism related dependent variables with the other independent variables. The independent variables finally considered are statistically significant, and they have been chosen by forward stepwise procedure.

Further research perspectives will consider the collection of more data. Indeed the data set should be enriched by extending the analysis to the regions and therefore to the provinces, excluded from this analysis. Specifically, the main provinces of Calabria, Basilicata, Puglia, Sicilia and Sardinia regions should be part of the future investigation, even though they are not directly served by the HSR system.

Data should be updated also from a temporal perspective, i.e. information should be at east collected till 2017, the last available year for which ISTAT (i.e. the Italian Census) provides information on tourism. New data will be soon available analyzing the question at the level of cities, i.e. at a more detailed level.

Another interesting aspect to analyse is to capture the heterogeneity of the independent variables, with respect to each province, with the Geographically Weighted Poisson Regression (GWPR) modelling technique. The latter, never applied in the context of tourism, represents a geographically weighted regression model, which allows measuring the relationships between independent and dependent variables w.r.t. space.

AUTHOR CONTRIBUTIONS

Francesca Pagliara has supervised, edited and written the whole paper.

Filomena Mauriello has gathered the data, specified the model and calibrated it, using STATA SOFTWARE.

CONSENT FOR PUBLICATION

Not applicable.

CONFLICT OF INTEREST

The authors declare no conflict of interest, financial or otherwise.

ACKNOWLEDGEMENTS

Declared none.

REFERENCES

[1] F. Pagliara, A. La Pietra, J. Gomez, and J.M. Vassallo, "High Speed Rail and the tourism market: Evidence from the Madrid case study", Transp. Policy, vol. 37, pp. 187-194.[http://dx.doi.org/10.1016/j.tranpol.2014.10.015]
[2] R.N. Kaul, Dynamics of tourism: A trilogy., Sterling: New Delhi, .
[3] J. Khadarooa, and B. Seetanah, "The role of transport infrastructure in international tourism development: A gravity model approach", Tour. Manage., vol. 29, pp. 831-840.[http://dx.doi.org/10.1016/j.tourman.2007.09.005]
[4] M.T. Ahi, and K. Yildiz, "Determining performance criteria of railway market: A case study", J. Open Innov., pp. 4-6.[http://dx.doi.org/10.1186/s40852-018-0084-5]
[5] B. Prideaux, "The role of the transport system in destination development", Tour. Manage., vol. 21, pp. 53-63.[http://dx.doi.org/10.1016/S0261-5177(99)00079-5]
[6] Transportation and Marketing., vol. 111, Sterling Publishers: New Delhi, .R.N. Kaul, Dynamics of tourism: A trilogy
[7] S.J. Page, Transport for Tourism., Cengage Learning, .
[8] C.M. Hall, D. Le-Klähn, and Y. Ram, Tourism, Public Transport and Sustainable Mobility., Channel View Publications, .
[9] S. Masson, and R. Petiot, "Can the high speed rail reinforce tourism attractiveness? The case of the high speed rail between Perpignan (France) and Barcelona (Spain)", Technovation, vol. 29, pp. 611-617.[http://dx.doi.org/10.1016/j.technovation.2009.05.013]
[10] M. Delaplace, F. Pagliara, J. Perrin, and S. Mermet, "Can High Speed Rail foster the choice of destination for tourism purpose?", Procedia Soc. Behav. Sci., vol. 111, pp. 166-175.[http://dx.doi.org/10.1016/j.sbspro.2014.01.049]
[11] "Euromonitor . Travel in Italy, ", http://www. euromonitor. com/ travel- in- italy
[12] A. Montella, V. Punzo, S. Chiaradonna, F. Mauriello, and M. Montanino, "Point-to-point speed enforcement systems: Speed limits design criteria and analysis of drivers’ compliance", Transp. Res., Part C Emerg. Technol., vol. 53, pp. 1-18.[http://dx.doi.org/10.1016/j.trc.2015.01.025]
[13] S.P. Washington, M.G. Karlaftis, and F. Mannering, Statistical and econometric methods for transportation data analysis., CRC press: Boca Raton, .
[14] A. Montella, and L.L. Imbriani, "Safety performance functions incorporating design consistency variables", Accid. Anal. Prev., vol. 74, pp. 133-144.[http://dx.doi.org/10.1016/j.aap.2014.10.019] [PMID: 25463953]
[15] J.M. Wooldridge, Econometric Analysis of Cross Section and Panel Data., The MIT Press, .
[16] C. Hsiao, Analysis of Panel Data., 2nd edCambridge University Press, .2nd ed[http://dx.doi.org/10.1017/CBO9780511754203]
[17] G.M. Fitzmaurice, N.M. Laird, and J.H. Ware, Applied longitudinal analysis., John Wiley & Sons, .
[18] F. Pagliara, M. Delaplace, and J.M. Vassallo, "High-speed rail systems and tourists’ destination choice: The case studies of Paris and Madrid", Int. J. Sustain. Dev. Plan., vol. 3, pp. 395-405.[http://dx.doi.org/10.2495/SDP-V10-N3-399-410]
[19] F. Pagliara, F. Mauriello, and A. Garofalo, "Exploring the interdependences between High Speed Rail systems and tourism: Some evidence from Italy", Transp. Res. Part A Policy Pract., vol. 106, pp. 300-308.[http://dx.doi.org/10.1016/j.tra.2017.09.022]
[20] V. Della Corte, and M. Aria, "Why strategic networks often fail: Some empirical evidence from the area of Naples", Tour. Manage., vol. 45, pp. 3-15.[http://dx.doi.org/10.1016/j.tourman.2014.03.010]
[21] V. Della Corte, and M. Aria, "Coopetition and sustainable competitive advantage. The case of tourist destinations", Tour. Manage., vol. 54, pp. 524-540.[http://dx.doi.org/10.1016/j.tourman.2015.12.009]
[22] J.M. Coronado, M. Garmendia, A. Moyano, and J.M. Ureña, "Assessing Spanish HSR network utility for same-day tourism. Recherche", Transport et Sécurité, vol. 29, pp. 161-175.
[23] C. Mimeur, V. Facchinetti-Mannone, G. Carroue, and P. Berion, "Les stratégies de développement touristique des territoires de l’espace Rhin-Rhône: une nouvelle cohérence impulsée par le TGV? Recherche", Transport et Sécurité, vol. 29, pp. 193-210.
[24] M. Delaplace, and J. Perrin, "Multiplication des dessertes TGV et Tourismes urbains et d’affaires, Regards croisés sur la Province et l’Ile de France", Recherche Transport et Sécurité, vol. 29, pp. 177-191.[http://dx.doi.org/10.4074/S0761898013003038a]
[25] Y.H. Cheng, "High-speed rail in Taiwan: New experience and issues for future development", Transp. Policy, vol. 17, no. 2, pp. 51-63.[http://dx.doi.org/10.1016/j.tranpol.2009.10.009]
[26] X. Wang, S. Huang, T. Zou, and H. Yan, "Effects of the high speed rail network on China’s regional tourism development", Tour. Manag. Perspect., vol. 1, pp. 34-38.[http://dx.doi.org/10.1016/j.tmp.2011.10.001]
[27] Z. Chen, and K.E. Haynes, "The impact of high speed rail on tourism development: A case study of Japan", The Open Transportation Journal, vol. 10, pp. 35-44.
[28] T. Kurihara, and L. Wu, "The impact of high speed rail on tourism development: A case study of Japan", Open Transplant. J., vol. 10, pp. 35-44.[http://dx.doi.org/10.2174/1874447801610010035]
[29] J. Urena, P. Menerault, and M. Garmendia, "The high-speed rail challenge for big intermediate cities: A national, regional and local perspective", Cities, vol. 26, no. 5, pp. 266-279.[http://dx.doi.org/10.1016/j.cities.2009.07.001]
[30] M. Delaplace, F. Pagliara, and A. La Pietra, "Does high-speed rail affect destination choice for tourism purpose? Disneyland Paris and Futuroscope case studies", Belgeo, vol. 3, pp. 1-23.
[31] M. Delaplace, 54th European Regional Science Association Congress, pp. 26-29.Saint-Petersburg, Russia
[32] M. Hall, Tourism: Rethinking The Social Science Of Mobility., Prentice Hall, .
[33] S. Bazin, C. Beckerich, and M. Delaplace, "Desserte TGV et villes petites et moyennes, une illustration par le cas du tourisme à Arras, Auray, Charleville-Mézières et Saverne", Les Cahiers Scientifiques du Transport, vol. 63, pp. 33-62.
[34] M. Delaplace, Recherche Transports et Sécurité, vol. 28, pp. 290-302.[http://dx.doi.org/10.1007/s13547-012-0041-9]
[35] D. Albalate, and X. Fageda, "High speed rail and tourism: Empirical evidence from Spain", Transp. Res. Part A Policy Pract., vol. 85, pp. 174-185.[http://dx.doi.org/10.1016/j.tra.2016.01.009]
[36] D. Albalate, J. Campos, and J.L. Jiménez, "Tourism and high speed rail in Spain: Does the AVE increase local visitors?", Ann. Tour. Res., vol. 65, pp. 71-82.[http://dx.doi.org/10.1016/j.annals.2017.05.004]
[37] F. Pagliara, M. Delaplace, and J.M. Vassallo, "High-Speed trains and tourists: What is the link? Evidence from the French and Spanish capitals", WIT Trans. Built Environ., vol. 138, pp. 17-27.[http://dx.doi.org/10.2495/UT140021]
[38] A.S. Fotheringham, C. Brunsdon, and M. Charlton, Geographically Weighted Regression: The Analysis of Spatially Varying Relationships., Wiley: Chichester, .

Endorsements



"Open access will revolutionize 21st century knowledge work and accelerate the diffusion of ideas and evidence that support just in time learning and the evolution of thinking in a number of disciplines."


Daniel Pesut
(Indiana University School of Nursing, USA)

"It is important that students and researchers from all over the world can have easy access to relevant, high-standard and timely scientific information. This is exactly what Open Access Journals provide and this is the reason why I support this endeavor."


Jacques Descotes
(Centre Antipoison-Centre de Pharmacovigilance, France)

"Publishing research articles is the key for future scientific progress. Open Access publishing is therefore of utmost importance for wider dissemination of information, and will help serving the best interest of the scientific community."


Patrice Talaga
(UCB S.A., Belgium)

"Open access journals are a novel concept in the medical literature. They offer accessible information to a wide variety of individuals, including physicians, medical students, clinical investigators, and the general public. They are an outstanding source of medical and scientific information."


Jeffrey M. Weinberg
(St. Luke's-Roosevelt Hospital Center, USA)

"Open access journals are extremely useful for graduate students, investigators and all other interested persons to read important scientific articles and subscribe scientific journals. Indeed, the research articles span a wide range of area and of high quality. This is specially a must for researchers belonging to institutions with limited library facility and funding to subscribe scientific journals."


Debomoy K. Lahiri
(Indiana University School of Medicine, USA)

"Open access journals represent a major break-through in publishing. They provide easy access to the latest research on a wide variety of issues. Relevant and timely articles are made available in a fraction of the time taken by more conventional publishers. Articles are of uniformly high quality and written by the world's leading authorities."


Robert Looney
(Naval Postgraduate School, USA)

"Open access journals have transformed the way scientific data is published and disseminated: particularly, whilst ensuring a high quality standard and transparency in the editorial process, they have increased the access to the scientific literature by those researchers that have limited library support or that are working on small budgets."


Richard Reithinger
(Westat, USA)

"Not only do open access journals greatly improve the access to high quality information for scientists in the developing world, it also provides extra exposure for our papers."


J. Ferwerda
(University of Oxford, UK)

"Open Access 'Chemistry' Journals allow the dissemination of knowledge at your finger tips without paying for the scientific content."


Sean L. Kitson
(Almac Sciences, Northern Ireland)

"In principle, all scientific journals should have open access, as should be science itself. Open access journals are very helpful for students, researchers and the general public including people from institutions which do not have library or cannot afford to subscribe scientific journals. The articles are high standard and cover a wide area."


Hubert Wolterbeek
(Delft University of Technology, The Netherlands)

"The widest possible diffusion of information is critical for the advancement of science. In this perspective, open access journals are instrumental in fostering researches and achievements."


Alessandro Laviano
(Sapienza - University of Rome, Italy)

"Open access journals are very useful for all scientists as they can have quick information in the different fields of science."


Philippe Hernigou
(Paris University, France)

"There are many scientists who can not afford the rather expensive subscriptions to scientific journals. Open access journals offer a good alternative for free access to good quality scientific information."


Fidel Toldrá
(Instituto de Agroquimica y Tecnologia de Alimentos, Spain)

"Open access journals have become a fundamental tool for students, researchers, patients and the general public. Many people from institutions which do not have library or cannot afford to subscribe scientific journals benefit of them on a daily basis. The articles are among the best and cover most scientific areas."


M. Bendandi
(University Clinic of Navarre, Spain)

"These journals provide researchers with a platform for rapid, open access scientific communication. The articles are of high quality and broad scope."


Peter Chiba
(University of Vienna, Austria)

"Open access journals are probably one of the most important contributions to promote and diffuse science worldwide."


Jaime Sampaio
(University of Trás-os-Montes e Alto Douro, Portugal)

"Open access journals make up a new and rather revolutionary way to scientific publication. This option opens several quite interesting possibilities to disseminate openly and freely new knowledge and even to facilitate interpersonal communication among scientists."


Eduardo A. Castro
(INIFTA, Argentina)

"Open access journals are freely available online throughout the world, for you to read, download, copy, distribute, and use. The articles published in the open access journals are high quality and cover a wide range of fields."


Kenji Hashimoto
(Chiba University, Japan)

"Open Access journals offer an innovative and efficient way of publication for academics and professionals in a wide range of disciplines. The papers published are of high quality after rigorous peer review and they are Indexed in: major international databases. I read Open Access journals to keep abreast of the recent development in my field of study."


Daniel Shek
(Chinese University of Hong Kong, Hong Kong)

"It is a modern trend for publishers to establish open access journals. Researchers, faculty members, and students will be greatly benefited by the new journals of Bentham Science Publishers Ltd. in this category."


Jih Ru Hwu
(National Central University, Taiwan)


Browse Contents



Webmaster Contact: info@benthamopen.net
Copyright © 2019 Bentham Open