How Does Travel Environment Affect Mood? A Study Using Geographic Ecological Momentary Assessment in the UK (Short Paper)

Authors Milad Malekzadeh , Darja Reuschke , Jed A. Long

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Milad Malekzadeh
  • Western University, London, Canada
Darja Reuschke
  • University of Southampton, UK
Jed A. Long
  • Western University, London, Canada

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Milad Malekzadeh, Darja Reuschke, and Jed A. Long. How Does Travel Environment Affect Mood? A Study Using Geographic Ecological Momentary Assessment in the UK (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 49:1-49:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


Daily travel is a large part of life, and it is widely believed that our mood can be affected by the environment in which travel takes place. In this study, we investigate how environmental factors affect mood while performing daily travel activities using an app-based geographic ecological momentary assessment study. Our study (the WorkAndHome study) involved over 1000 participants tracked using a bespoke GPS mobile phone app in three cities (Birmingham, Leeds, and Brighton and Hove, UK) At the end of trips (i.e., when a stop in the GPS data was detected) we pushed a survey to participants asking them to score their current happiness and stress levels on a 7-point Likert scale. We combined individual GPS data with environmental data on green and blue spaces and weather conditions. We found that green and blue space availability and weather variables, such as daytime, apparent temperature, and visibility, significantly affect our happiness levels at the end of trips. While these weather factors were also significant predictors of stress level, availability of green and blue space was not. The results of this study provide fine-scale evidence from direct surveys about the associations between environment and weather and our moods when performing daily travel activities.

Subject Classification

ACM Subject Classification
  • Information systems → Geographic information systems
  • GEMA
  • GPS Tracking
  • Green and Blue Spaces


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  1. Office for national statistics, 2023. URL:
  2. American Psychological Association. Stress and decision-making during the pandemic, 2021. Google Scholar
  3. L. Bevilacqua and D. Goldman. Genetics of emotion. Trends in Cognitive Sciences, 15(9):401-408, 2011. Google Scholar
  4. Sjerp De Vries, Margreet Ten Have, Saskia van Dorsselaer, Manja van Wezep, Tia Hermans, and Ron de Graaf. Local availability of green and blue space and prevalence of common mental disorders in the netherlands. BJPsych open, 2(6):366-372, 2016. Google Scholar
  5. A. Duarte, C. Garcia, G. Giannarakis, S. Limão, A. Polydoropoulou, and N. Litinas. New approaches in transportation planning: happiness and transport economics. NETNOMICS: Economic Research and Electronic Networking, 11:5-32, 2010. Google Scholar
  6. L. Eriksson, M. Friman, and T. Gärling. Perceived attributes of bus and car mediating satisfaction with the work commute. Transportation Research Part A: Policy and Practice, 47:87-96, 2013. Google Scholar
  7. D. Ettema, M. Friman, T. Gärling, L.E. Olsson, and S. Fujii. How in-vehicle activities affect work commuters’ satisfaction with public transport. Journal of Transport Geography, 24:215-222, 2012. Google Scholar
  8. M.C. Keller, B.L. Fredrickson, O. Ybarra, S. Côté, K. Johnson, J. Mikels, A. Conway, and T. Wager. A warm heart and a clear head: The contingent effects of weather on mood and cognition. Psychological Science, 16(9):724-731, 2005. Google Scholar
  9. Y. Kim and R. Brown. Effect of meteorological conditions on leisure walking: a time series analysis and the application of outdoor thermal comfort indexes. International Journal of Biometeorology, 66(6):1109-1123, 2022. Google Scholar
  10. M.C. Kondo, M. Triguero-Mas, D. Donaire-Gonzalez, E. Seto, A. Valentín, G. Hurst, G. Carrasco-Turigas, D. Masterson, A. Ambròs, and N. Ellis. Momentary mood response to natural outdoor environments in four european cities. Environment International, 134:105237, 2020. Google Scholar
  11. J. Long and D. Reuschke. Daily mobility patterns of small business owners and homeworkers in post-industrial cities. Computers, Environment and Urban Systems, 85, 2021. Google Scholar
  12. P.L. Mokhtarian and R.M. Pendyala. Travel satisfaction and well-being. Quality of Life and Daily Travel, pages 17-39, 2018. Google Scholar
  13. R.D. Morton, C.G. Marston, A.W. O’Neil, and C.S. Rowland. Land cover map 2019 (20m classified pixels, gb. NERC Environmental Information Data Centre, 2020. Google Scholar
  14. Met Office, 2006. Google Scholar
  15. Met Office. Midas: Uk hourly weather observation data, 2006. Google Scholar
  16. Y. Ogihara and Y. Uchida. Does individualism bring happiness? negative effects of individualism on interpersonal relationships and happiness. Frontiers in Psychology, 5:135, 2014. Google Scholar
  17. L.E. Olsson, T. Gärling, D. Ettema, M. Friman, and S. Fujii. Happiness and satisfaction with work commute. Social Indicators Research, 111:255-263, 2013. Google Scholar
  18. E.M. Parrish, C.A. Depp, R.C. Moore, P.D. Harvey, T. Mikhael, J. Holden, J. Swendsen, and E. Granholm. Emotional determinants of life-space through gps and ecological momentary assessment in schizophrenia: what gets people out of the house? Schizophrenia Research, 224:67-73, 2020. Google Scholar
  19. R. Plutchik. The nature of emotions: Human emotions have deep evolutionary roots, a fact that may explain their complexity and provide tools for clinical practice. American Scientist, 89(4):344-350, 2001. Google Scholar
  20. S. Raveau, A. Ghorpade, F. Zhao, M. Abou-Zeid, C. Zegras, and M. Ben-Akiva. Smartphone-based survey for real-time and retrospective happiness related to travel and activities. Transportation Research Record, 2566(1):102-110, 2016. Google Scholar
  21. D. Reuschke. Workandhome, 2015-10. URL:
  22. R.G. Steadman. Norms of apparent temperature in australia. Aust. Met. Mag, 43:1-16, 1994. Google Scholar
  23. R. Wang, Z. Feng, J. Pearce, S. Zhou, L. Zhang, and Y. Liu. Dynamic greenspace exposure and residents’ mental health in guangzhou, china: From over-head to eye-level perspective, from quantity to quality. Landscape and Urban Planning, 215:104230, 2021. Google Scholar
  24. C. Xu, M. Ji, W. Chen, and Z. Zhang. Identifying travel mode from gps trajectories through fuzzy pattern recognition. In Seventh International Conference on Fuzzy Systems and Knowledge Discovery, volume 2, pages 889-893, 2010. Google Scholar
  25. I. Čelić, S. Živanović, and N. Pavlović. The effects of weather conditions on the health of people living in urban and rural environments. Economics of Agriculture, 66(1):63-76, 2019. Google Scholar