1 resultado para stochastic cooling
em Universidad de Alicante
Filtro por publicador
- Aberdeen University (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (5)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (8)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (11)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (6)
- Archive of European Integration (1)
- Aston University Research Archive (55)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (16)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (35)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (55)
- Brock University, Canada (5)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (17)
- CentAUR: Central Archive University of Reading - UK (99)
- Cochin University of Science & Technology (CUSAT), India (15)
- Collection Of Biostatistics Research Archive (1)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (82)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (6)
- CUNY Academic Works (3)
- Dalarna University College Electronic Archive (5)
- Department of Computer Science E-Repository - King's College London, Strand, London (6)
- Digital Commons - Michigan Tech (5)
- Digital Commons at Florida International University (8)
- Digital Peer Publishing (1)
- DigitalCommons - The University of Maine Research (2)
- DigitalCommons@The Texas Medical Center (4)
- DigitalCommons@University of Nebraska - Lincoln (3)
- Diposit Digital de la UB - Universidade de Barcelona (2)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (21)
- Galway Mayo Institute of Technology, Ireland (1)
- Instituto Politécnico do Porto, Portugal (6)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (2)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (2)
- Martin Luther Universitat Halle Wittenberg, Germany (4)
- Massachusetts Institute of Technology (2)
- National Center for Biotechnology Information - NCBI (10)
- Publishing Network for Geoscientific & Environmental Data (23)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (8)
- Repositório da Produção Científica e Intelectual da Unicamp (2)
- Repositório digital da Fundação Getúlio Vargas - FGV (17)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (74)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (12)
- Scielo Saúde Pública - SP (18)
- Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom (4)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (27)
- Universidade Complutense de Madrid (5)
- Universidade do Minho (3)
- Universidade Federal do Rio Grande do Norte (UFRN) (1)
- Universitat de Girona, Spain (1)
- Université de Lausanne, Switzerland (33)
- Université de Montréal, Canada (13)
- University of Connecticut - USA (4)
- University of Michigan (75)
- University of Queensland eSpace - Australia (97)
- University of Southampton, United Kingdom (1)
- University of Washington (1)
Resumo:
The analysis of tourist destination choice, defined by intra-country administrative units and by product types “coastal/inland and village/city”, permits the characterisation of tourist flow behaviour, which is fundamental for public planning and business management. In this study, we analyse the determinant factors of tourist destination choice, proposing various research hypotheses relative to the impact of destination attributes and the personal characteristics of tourists. The methodology applied estimates Nested and Random Coefficients Multinomial Logit Models, which allow control over possible correlations among different destinations. The empirical application is realised in Spain on a sample of 3,781 individuals and allows us to conclude that prices, distance to the destination and personal motivations are determinants in destination choice.