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      Station biophilia – assessing the perception of greenery on railway platforms using a digital twin

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            Personal and social factors that influence pro-environmental concern and behaviour: a review.

            We review the personal and social influences on pro-environmental concern and behaviour, with an emphasis on recent research. The number of these influences suggests that understanding pro-environmental concern and behaviour is far more complex than previously thought. The influences are grouped into 18 personal and social factors. The personal factors include childhood experience, knowledge and education, personality and self-construal, sense of control, values, political and world views, goals, felt responsibility, cognitive biases, place attachment, age, gender and chosen activities. The social factors include religion, urban-rural differences, norms, social class, proximity to problematic environmental sites and cultural and ethnic variations We also recognize that pro-environmental behaviour often is undertaken based on none of the above influences, but because individuals have non-environmental goals such as to save money or to improve their health. Finally, environmental outcomes that are a result of these influences undoubtedly are determined by combinations of the 18 categories. Therefore, a primary goal of researchers now should be to learn more about how these many influences moderate and mediate one another to determine pro-environmental behaviour.
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              What is the best dose of nature and green exercise for improving mental health? A multi-study analysis.

              Green exercise is activity in the presence of nature. Evidence shows it leads to positive short and long-term health outcomes. This multistudy analysis assessed the best regime of dose(s) of acute exposure to green exercise required to improve self-esteem and mood (indicators of mental health). The research used meta-analysis methodology to analyze 10 UK studies involving 1252 participants. Outcomes were identified through a priori subgroup analyses, and dose-responses were assessed for exercise intensity and exposure duration. Other subgroup analyses included gender, age group, starting health status, and type of habitat. The overall effect size for improved self-esteem was d = 0.46 (CI 0.34-0.59, p < 0.00001) and for mood d = 0.54 (CI 0.38-0.69, p < 0.00001). Dose responses for both intensity and duration showed large benefits from short engagements in green exercise, and then diminishing but still positive returns. Every green environment improved both self-esteem and mood; the presence of water generated greater effects. Both men and women had similar improvements in self-esteem after green exercise, though men showed a difference for mood. Age groups: for self-esteem, the greatest change was in the youngest, with diminishing effects with age; for mood, the least change was in the young and old. The mentally ill had one of the greatest self-esteem improvements. This study confirms that the environment provides an important health service.
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                Author and article information

                Journal
                Building Research & Information
                Building Research & Information
                Informa UK Limited
                0961-3218
                1466-4321
                February 17 2024
                June 12 2023
                February 17 2024
                : 52
                : 1-2
                : 164-180
                Affiliations
                [1 ]Department of Property Project Development and Planning, I.SVO, DB Station&amp;Service AG, Berlin, Germany
                [2 ]Department of Biostatistics and Medical Informatics, Bolu Abant Izzet Baysal University, Bolu, Turkey
                [3 ]Department of Statistical Science, University College London, London, UK
                [4 ]Research Area Spatial Information and Modelling, Leibniz Institute of Ecological Urban and Regional Development, Dresden, Germany
                [5 ]Computer Science in Architecture (InfAR), Bauhaus Universität Weimar, Weimar, Germany
                [6 ]Institute of Landscape Architecture, University of Technology, Dresden, Germany
                Article
                10.1080/09613218.2023.2219792
                6966ef42-029f-4515-b1f1-3c6ab32c53c7
                © 2024
                History

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