1. High speed rail and coastal tourism: Identifying passenger profiles and travel behaviour
- Author
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Armando Ortuño, Aaron Gutiérrez, Universidad de Alicante. Departamento de Edificación y Urbanismo, Ingeniería del Transporte, Territorio y Medio Litoral (AORTA), Economía de la Vivienda y Sector Inmobiliario (ECOVISI), GRATET. Anàlisi Territorial i Estudis Turístics, Geografia, and Universitat Rovira i Virgili
- Subjects
Male ,Questionnaires ,Topography ,Turisme i oci ,Databases, Factual ,Beaches ,lcsh:Medicine ,Transportation ,Destinations ,Surveys ,Trens d'alta velocitat -- Aspectes econòmics -- Catalunya ,Geographical Locations ,Surveys and Questionnaires ,Coastal tourism ,Passenger profiles ,Urea ,lcsh:Science ,Travel ,Multidisciplinary ,Organic Compounds ,05 social sciences ,Environmental resource management ,Viatgers ,Middle Aged ,Urbanística y Ordenación del Territorio ,1932-6203 ,Europe ,Chemistry ,Geography ,Research Design ,Physical Sciences ,Engineering and Technology ,Female ,France ,Research Article ,Adult ,Adolescent ,Research and Analysis Methods ,High speed rail ,Tourism and leisure ,Young Adult ,Turismo y ocio ,Leisure Activities ,0502 economics and business ,Mediterranean Sea ,Humans ,Turisme litoral ,Railroads ,050210 logistics & transportation ,Behavior ,Landforms ,Survey Research ,business.industry ,lcsh:R ,Organic Chemistry ,Chemical Compounds ,Geomorphology ,Logistic Models ,Spain ,People and Places ,Earth Sciences ,lcsh:Q ,business ,050212 sport, leisure & tourism ,Tourism ,Travel behaviour - Abstract
In this paper, we characterise tourists most likely to visit a coastal destination by high-speed rail (HSR). Our data came from a survey conducted among HSR passengers during 2014’s high season (July and August) at Spain’s Camp de Tarragona and Alicante Stations, each of which is near a mass tourism destination on the Mediterranean coast: the Costa Daurada and the Costa Blanca, respectively. We used responses to the survey, which presented binary discrete-choice situations, to construct a database necessary for a logistic regression model that allowed us to examine how passenger profile, trip characteristics, and stay conditions influenced the use of HSR services on visits to each coastal destination. Results highlighted significant differences in the profiles of tourists who arrived at each destination by HSR and, in turn, that no specific tourist profile is associated with HSR, even for two stations that serve sunny beach destinations. Among its implications, to analyse travellers that HSR can attract, it is vital to consider the specific characteristics of each destination and its current market. This research was funded by the Spanish Ministry of Science and Innovation (GLOBALTUR–CSO2011–23004/GEOG; MOVETUR-CS02014-51785-R) to AG.
- Published
- 2017
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