1 resultado para 914.3561003
em Nottingham eTheses
Filtro por publicador
- Aberystwyth University Repository - Reino Unido (1)
- Academic Archive On-line (Stockholm University; Sweden) (1)
- Academic Research Repository at Institute of Developing Economies (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (2)
- AMS Campus - Alm@DL - Università di Bologna (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (2)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (5)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (2)
- Aquatic Commons (3)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (2)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (2)
- Aston University Research Archive (6)
- Biblioteca Digital da Câmara dos Deputados (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (12)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (2)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (2)
- Biblioteca Digital Loyola - Universidad de Deusto (2)
- Bibloteca do Senado Federal do Brasil (1)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (26)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (1)
- Cámara de Comercio de Bogotá, Colombia (1)
- Cambridge University Engineering Department Publications Database (9)
- CentAUR: Central Archive University of Reading - UK (11)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (56)
- Cochin University of Science & Technology (CUSAT), India (2)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (5)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- Dalarna University College Electronic Archive (1)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Commons - Michigan Tech (1)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (2)
- DigitalCommons@The Texas Medical Center (3)
- Digitale Sammlungen - Goethe-Universität Frankfurt am Main (2)
- Dokumentenserver der Akademie der Wissenschaften zu Göttingen (4)
- Duke University (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (3)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (6)
- Greenwich Academic Literature Archive - UK (2)
- Harvard University (1)
- Hospitais da Universidade de Coimbra (1)
- Indian Institute of Science - Bangalore - Índia (8)
- Instituto Politécnico do Porto, Portugal (2)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Memoria Académica - FaHCE, UNLP - Argentina (9)
- Ministerio de Cultura, Spain (21)
- National Center for Biotechnology Information - NCBI (2)
- Nottingham eTheses (1)
- Ohio University (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (2)
- Portal de Revistas Científicas Complutenses - Espanha (2)
- Publishing Network for Geoscientific & Environmental Data (265)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (11)
- Queensland University of Technology - ePrints Archive (24)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositório Digital da Universidade Municipal de São Caetano do Sul - USCS (1)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (1)
- Repositório Institucional da Universidade Federal de São Paulo - UNIFESP (1)
- Repositorio Institucional de la Universidad Nacional Agraria (1)
- Repositório Institucional dos Hospitais da Universidade Coimbra (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (52)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (1)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Scielo España (2)
- SerWisS - Server für Wissenschaftliche Schriften der Fachhochschule Hannover (1)
- The Scholarly Commons | School of Hotel Administration; Cornell University Research (1)
- Universidad Autónoma de Nuevo León, Mexico (1)
- Universidad de Alicante (2)
- Universidad del Rosario, Colombia (14)
- Universidad Politécnica de Madrid (2)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal do Pará (3)
- Universidade Federal do Rio Grande do Norte (UFRN) (3)
- Universidade Metodista de São Paulo (1)
- Universidade Técnica de Lisboa (1)
- Universitat de Girona, Spain (2)
- Université de Lausanne, Switzerland (2)
- Université de Montréal, Canada (2)
- University of Connecticut - USA (1)
- University of Michigan (13)
- University of Southampton, United Kingdom (1)
Resumo:
There has long been a question as to whether crowding in rail passenger transport poses a threat to passenger health related to the experience of stress. A review of the scientific literature was conducted. Little rail-specific empirical research was identified. The more general research that does exist suggests that high-density environments are not necessarily perceived as crowded and that stress-related physiological, psychological and behavioural reactions do not necessarily follow from exposure to such environments. Several factors are identified that may moderate the impact of a high-density environment on perceptions of crowding and the subsequent experience and effects of stress. These include, inter alia, perceptions of control and predictability of events. However, if caused, the experience and effects of stress may be made worse by inadequate coach design that gives rise to discomfort. The model that emerges from these findings offers a suitable framework for the development of research questions that should help translate emerging knowledge into practical interventions, for the reduction of any adverse health outcomes associated with crowding.