Abstract
The aging trend with large-scale rapid growth,heightening the risk of the world’s most populous country “getting old before getting rich”. At the present stage, Elderly people live in residential communities are in the majority. Some old Neighborhood Communities due to have a large number of aged people, community activities become less, even community services and the infrastructure are also gradually decline. Most of the community service system is not perfect, and the existing system is only attached to the youth groups. What’s worse, concerned about the design of the elderly are very few. Traditional communities due to lack of big data information, single service facilities, and low intellectualization, led to relatively orderless community management, and more and more elderly with negative interaction. Therefore, for the elderly who live in vacant rooms for prolonged periods of time, they have less social activity even do not exercise often. It’s possible that the spirit is willing but the flesh is weak. Persist in so doing, their physical and mental health will be endangered gradually. The paper aims to explore the characteristics and needs of the elderly by combining the Maslow hierarchy of needs and propose a O2O community service system suitable for the elderly as well as a multi-directional vertical format combination mode, which benefits the elderly community in urban communities. Put forward an innovative community service system focused on the elderly, set up the online to offline smart community platform framework, and initially complete the online community service platform interface design. Insist on the people-oriented, improve the life happiness index of the elderly.
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China Industrial Information. http://www.chyxx.com
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Liqiang, Z.: Probe into the needs of the elderly from Maslow’s theory of demand. Nanjing, Jiangsu (2010)
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Zhang, Y., Men, D. (2019). The Study of O2O Urban Community Service Platform Design Based on the Elderly Demands. In: Lightner, N. (eds) Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. AHFE 2018. Advances in Intelligent Systems and Computing, vol 779. Springer, Cham. https://doi.org/10.1007/978-3-319-94373-2_43
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DOI: https://doi.org/10.1007/978-3-319-94373-2_43
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Online ISBN: 978-3-319-94373-2
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