The effects of tourism on HSR: Spanish empirical evidence derived from a multi-criteria corridor selection methodology

Guirao, Begoña; Campa, Juan Luis

doi:10.1016/j.jtrangeo.2015.07.010

Cited by 36 publications

(15 citation statements)

References 29 publications

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“…CBA methodologies are most frequently used in the literature for estimating HSR profitability (Coto-Millan et al, 2007;de Rus and Nombela, 2007;Betancor and Llobet, 2015), although in the last ten years MCA has become more widespread as a method for evaluating transport projects, and offers the possibility of including indirect and long-term HSR impacts (Guirao and Campa, 2015). Macharis and Bernardin (2015) reported that -after a more general category-passenger transport (such as HSR rail) and notably mobility management are the public administrations' most common types of transport project decisions handled by MCA.…”

Section: Introductionmentioning

confidence: 99%

High speed rail effects on tourism: Spanish empirical evidence derived from China's modelling experience

Campa

Lambas

Guirao

2016

Journal of Transport Geography

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China and Spain are currently among the top tourist destinations, coming third and fourth place in the 2014 world ranking of tourist arrivals, behind France and the US. Tourism is crucial for the economies of Spain and China, and both countries have the longest high speed rail (HSR) networks in the world. What role has HSR infrastructure played in the development of tourism in both countries? Little research has been done to date, even in Europe, to estimate empirically how tourism indicators are affected by new HSR lines. In 2012 a multivariate panel analysis by Chen and Haynes was applied to 27 Chinese regions, and confirmed that emerging high speed rail services (during the period 1999-2010) had significant positive impacts on boosting tourism in China. No similar empirical tool has ever been tested in Europe. The aim of this paper is to analyse and validate this tool when applied to the Spanish context, and to develop a comparative analysis with the Chinese case study. The methodology is applied to 47 Spanish provinces during the period 1999-2015, and the results clearly reveal a positive but lower-value link (compared to China) between the increase in certain tourism outputs (foreign arrivals and revenues) and HSR network construction. However, further research is needed into the model's limitations, namely the availability of suitable tourism indicators in the official databases, the HSR explanatory variables considered, and the ability to detect "circular cause-effects" between HSR and tourism.

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Section: Introductionmentioning

confidence: 99%

High speed rail effects on tourism: Spanish empirical evidence derived from China's modelling experience

Campa

Lambas

Guirao

2016

Journal of Transport Geography

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“…In 2009, Hagler and Todorovich put forward a model that can evaluate HSR potential demand market, and this paper introduces tourism variables [18], and then on the basis of MCDA frame, it establishes the hierarchical ranking model that can meet the actual conditions in China, and then measures the impact of tourism on HSR potential demands.…”

Section: B Hierarchical Ranking Modelmentioning

confidence: 99%

“…Guirao and Soler investigated the impact of Spanish Toledo tourism on the new Toledo-Toledo HSR line, and they found out that tourism and sightseeing passengers occupy above 30% of the daily HSR passenger flow [17]. Guirao and Campa studied the positive effect of Spanish tourism on HSR [18]. Through using "the impact of tourism on HSR" as the key word to search academic papers on CNKI, there is no result related thereby.…”

Section: Introductionmentioning

confidence: 99%

An Empirical Study on HSR Demand Through Tourism Variables

Duan¹,

Wang²

2018

Proceedings of the 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018)

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Abstract-The existence of HSR has gradually become an important indicator to judge the degree of development of a city. Under the conditions of limited budget and resources, how to choose the best suitable city? In order to answer these questions, this paper studied the impact of tourism on HSR, and sorted out the city pairs using multi-criteria decision analysis method, the ranking model and geographic information system technology. This paper considered the aspects of transportation, population, economy, location, distance, congestion and tourism, with the data of 36 Chinese cities above vice provincial level. The results show that it is helpful to effectively measure the impact of tourism on the high speed rail potential demand by adding a tourism variable in the ranking model. Of course, the role of tourism cannot be generalized, but it depends on the importance of tourism in the economic development.

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“…The focus of this manuscript is to investigate whether HSR can induce changes in tourists' behaviour. Guirao and Campa [7] demonstrated that the high costs of new HSRs require a selection methodology to define which HSR corridors, within a network, should be built first, and the most suitable evaluation tool is the multi-criteria approach. Indeed, they showed that, in any corridor-ranking methodology, and especially in countries with high tourism attractiveness, the impacts of HSR on tourism should be considered as a variable.…”

Section: Introductionmentioning

confidence: 99%

A Regression Tree Approach for Investigating the Impact of High Speed Rail on Tourists’ Choices

2020

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This paper provides a contribution to the international literature by applying regression tree methods to the analysis of the expected effects of the High Speed Rail project in Italy on the tourism market. This approach, as far as the author knows, has never been applied in this context. Tourism and transport information have been gathered for 99 Italian provinces during the 2006–2016 period. Tree-structured methods have been chosen as an application of regression models in which some explanatory variables are used as covariates to predict the dependent variable values on the basis of some decision rules. This approach establishes a casual effect between dependent and independent variables. The dependent variables chosen are the Italian and foreign tourists, and the number of overnights spent by Italians and foreigners. Among the independent variables are the presence of HSR, the presence of first-level airport hubs and the number of operating bases of low-cost airlines; among the attractiveness variables are the GDP, the number of attractions in a given province, the presence of the sea, the population and the percentage of unemployment. The main outcome of this study is that HSR affects the tourism market.

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The effects of tourism on HSR: Spanish empirical evidence derived from a multi-criteria corridor selection methodology

Cited by 36 publications

References 29 publications

High speed rail effects on tourism: Spanish empirical evidence derived from China's modelling experience

High speed rail effects on tourism: Spanish empirical evidence derived from China's modelling experience

An Empirical Study on HSR Demand Through Tourism Variables

A Regression Tree Approach for Investigating the Impact of High Speed Rail on Tourists’ Choices

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