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Older People’s Experiences of Mobility and Mood in an Urban Environment: A Mixed Methods Approach Using Electroencephalography (EEG) and Interviews

Author

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  • Sara Tilley

    (OPENspace, Edinburgh College of Art, University of Edinburgh, Edinburgh EH3 9DF, UK)

  • Chris Neale

    (The Stockholm Environment Institute, Environment Department, University of York, York YO10 5DD, UK)

  • Agnès Patuano

    (OPENspace, Edinburgh College of Art, University of Edinburgh, Edinburgh EH3 9DF, UK)

  • Steve Cinderby

    (The Stockholm Environment Institute, Environment Department, University of York, York YO10 5DD, UK)

Abstract

There are concerns about mental wellbeing in later life in older people as the global population becomes older and more urbanised. Mobility in the built environment has a role to play in improving quality of life and wellbeing, as it facilitates independence and social interaction. Recent studies using neuroimaging methods in environmental psychology research have shown that different types of urban environments may be associated with distinctive patterns of brain activity, suggesting that we interact differently with varying environments. This paper reports on research that explores older people’s responses to urban places and their mobility in and around the built environment. The project aim was to understand how older people experience different urban environments using a mixed methods approach including electroencephalography (EEG), self-reported measures, and interview results. We found that older participants experience changing levels of “excitement”, “engagement” and “frustration” (as interpreted by proprietary EEG software) whilst walking between a busy built urban environment and an urban green space environment. These changes were further reflected in the qualitative themes that emerged from transcribed interviews undertaken one week post-walk. There has been no research to date that has directly assessed neural responses to an urban environment combined with qualitative interview analysis. A synergy of methods offers a deeper understanding of the changing moods of older people across time whilst walking in city settings.

Suggested Citation

  • Sara Tilley & Chris Neale & Agnès Patuano & Steve Cinderby, 2017. "Older People’s Experiences of Mobility and Mood in an Urban Environment: A Mixed Methods Approach Using Electroencephalography (EEG) and Interviews," IJERPH, MDPI, vol. 14(2), pages 1-20, February.
  • Handle: RePEc:gam:jijerp:v:14:y:2017:i:2:p:151-:d:89367
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    References listed on IDEAS

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    1. Banister, David & Bowling, Ann, 2004. "Quality of life for the elderly: the transport dimension," Transport Policy, Elsevier, vol. 11(2), pages 105-115, April.
    2. Metz, D. H., 2000. "Mobility of older people and their quality of life," Transport Policy, Elsevier, vol. 7(2), pages 149-152, April.
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    Cited by:

    1. Carmen Llinares & Juan Luis Higuera-Trujillo & Antoni Montañana & Nuria Castilla, 2020. "Improving the Pedestrian’s Perceptions of Safety on Street Crossings. Psychological and Neurophysiological Effects of Traffic Lanes, Artificial Lighting, and Vegetation," IJERPH, MDPI, vol. 17(22), pages 1-20, November.
    2. Marica Cassarino & Eleanor Bantry-White & Annalisa Setti, 2019. "Cognitive and Sensory Dimensions of Older People’s Preferences of Outdoor Spaces for Walking: A Survey Study in Ireland," IJERPH, MDPI, vol. 16(8), pages 1-12, April.
    3. Juan Du & Jiali Yin & Xiaomei Chen & Ahmad Hassan & Erkang Fu & Xi Li, 2022. "Electroencephalography (EEG)-Based Neural Emotional Response to Flower Arrangements (FAs) on Normal Elderly (NE) and Cognitively Impaired Elderly (CIE)," IJERPH, MDPI, vol. 19(7), pages 1-9, March.
    4. Ben Senkler & Julius Freymueller & Susanne Lopez Lumbi & Claudia Hornberg & Hannah-Lea Schmid & Kristina Hennig-Fast & Gernot Horstmann & Timothy Mc Call, 2022. "Urbanicity—Perspectives from Neuroscience and Public Health: A Scoping Review," IJERPH, MDPI, vol. 20(1), pages 1-16, December.
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    6. Yuting Wang & Ming Xu, 2021. "Electroencephalogram Application for the Analysis of Stress Relief in the Seasonal Landscape," IJERPH, MDPI, vol. 18(16), pages 1-14, August.
    7. Yuting Wang & Shujian Wang & Ming Xu, 2022. "Landscape Perception Identification and Classification Based on Electroencephalogram (EEG) Features," IJERPH, MDPI, vol. 19(2), pages 1-12, January.
    8. Chongxian Chen & Weijing Luo & Ning Kang & Haiwei Li & Xiaohao Yang & Yu Xia, 2020. "Serial Mediation of Environmental Preference and Place Attachment in the Relationship between Perceived Street Walkability and Mood of the Elderly," IJERPH, MDPI, vol. 17(13), pages 1-18, June.
    9. Tianrong Xu & Nikmatul Adha Nordin & Ainoriza Mohd Aini, 2022. "Urban Green Space and Subjective Well-Being of Older People: A Systematic Literature Review," IJERPH, MDPI, vol. 19(21), pages 1-29, October.
    10. Charlotte Wendelboe-Nelson & Sarah Kelly & Marion Kennedy & John W. Cherrie, 2019. "A Scoping Review Mapping Research on Green Space and Associated Mental Health Benefits," IJERPH, MDPI, vol. 16(12), pages 1-49, June.
    11. Tianjiao Yan & Hong Leng & Qing Yuan, 2023. "The Effects of Winter Parks in Cold Regions on Cognition Recovery and Emotion Improvement of Older Adults: An Empirical Study of Changchun Parks," IJERPH, MDPI, vol. 20(3), pages 1-17, January.
    12. Zijiao Zhang & Kangfu Zhuo & Wenhan Wei & Fu Li & Jie Yin & Liyan Xu, 2021. "Emotional Responses to the Visual Patterns of Urban Streets: Evidence from Physiological and Subjective Indicators," IJERPH, MDPI, vol. 18(18), pages 1-20, September.
    13. Rebecca Reece & Anna Bornioli & Isabelle Bray & Nigel Newbutt & David Satenstein & Chris Alford, 2022. "Exposure to Green, Blue and Historic Environments and Mental Well-Being: A Comparison between Virtual Reality Head-Mounted Display and Flat Screen Exposure," IJERPH, MDPI, vol. 19(15), pages 1-21, August.
    14. Yuting Wang & Shujian Wang & Ming Xu, 2021. "The Function of Color and Structure Based on EEG Features in Landscape Recognition," IJERPH, MDPI, vol. 18(9), pages 1-14, May.

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