Eco Reconnect: Innovative Insights on Park Environments and Mental Health at Maya Park, Eco Ardence

The innovative concept of EcoReConnect emerges as a transformative digital platform and geo – triggered content that integrates ecological restoration and smart technology, specifically designed for Eco Ardence, to reestablish meaningful connections between park users and the natural environment placing the right information at their fingertips. EcoReConnect is a web-based tool aimed at enhancing public access to Maya Park’s green spaces, while promoting mental health and overall well-being. The importance of urban green spaces in supporting mental health is becoming more widely acknowledged. Research has shown that time spent in nature contributes to psychological restoration, stress reduction, and emotional healing. Despite this, the potential of urban parks in Malaysia remains underutilized due to limited access and a general lack of awareness about their therapeutic benefits. To bridge this gap, innovative approaches that combine accessibility, public health awareness, and environmental education are essential. EcoReConnect responds to this need by offering an engaging digital platform that raises awareness about the mental health benefits of urban green spaces and improves access to relevant, real-time information ultimately strengthening the relationship between visitors and Maya Park.

Green Space, Innovative, Mental Health, Park Environment

1. Azmi, D. N., Syed, K., Nor, & Jasmine. (2025). Park Design Attributes for Mental Restoration: A systematic review and thematic analysis. Environment-Behaviour Proceedings Journal, 10(32), 297–305. https://doi.org/10.21834/e-bpj.v10i32.6753 [Google Scholar] [Crossref]

2. Benzar, A. (2024, September 9). How Urban Design Can Impact Mental Health & Well-being | NeuroLandscape. NeuroLandscape. https://neurolandscape.org/2024/09/09/how-urban-design-can-impact-mental-health-well-being/ [Google Scholar] [Crossref]

3. Beyer, K., Kaltenbach, A., Szabo, A., Bogar, S., Nieto, F., & Malecki, K. (2014). Exposure to Neighborhood Green Space and Mental Health: Evidence from the Survey of the Health of Wisconsin. International Journal of Environmental Research and Public Health, 11(3), 3453–3472. https://doi.org/10.3390/ijerph110303453 [Google Scholar] [Crossref]

4. Chang, C., Lin, B. B., Feng, X., Andersson, E., Gardner, J., & Astell-Burt, T. (2024). A lower connection to nature is related to lower mental health benefits from nature contact. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-56968-5 [Google Scholar] [Crossref]

5. Hartig, T., Mitchell, R., de Vries, S., & Frumkin, H. (2014). Nature and Health. Annual Review of Public Health, 35(1), 207–228. https://doi.org/10.1146/annurev-publhealth-032013-182443 [Google Scholar] [Crossref]

6. Kaplan, R., & Kaplan, S. (1989). The experience of nature: A psychological perspective. Psycnet.apa.org; Cambridge University Press. https://psycnet.apa.org/record/1989-98477-000 [Google Scholar] [Crossref]

7. Ryan, S. C., Sugg, M. M., Runkle, J. D., & Thapa, B. (2024). Advancing Understanding on Greenspace and Mental Health in Young People. Geohealth, 8(3). https://doi.org/10.1029/2023gh000959 [Google Scholar] [Crossref]

8. Tedong, S., & Zainol, R. (2022). Urban parks and mental well-being in Malaysia: An emerging perspective. *Journal of Environmental Psychology, 82*, 101843 https://www.planningmalaysia.org/index.php/pmj/article/view/1182/868 [Google Scholar] [Crossref]

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