TY - GEN
T1 - A Multi-agent Platform to Inform Strategies for Briefing Age-Friendly Communities in Urban China
AU - Xiang, Liqun
AU - Shen, Geoffrey
AU - Tan, Yongtao
N1 - Publisher Copyright:
© 2020, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2020
Y1 - 2020
N2 - The World Health Organisation has been working for more than a decade to guide global cities and communities to consider, plan and implement age-friendly places in response to the rapid ageing. In China, promoting age-friendly communities (AFCs) is critical due to the fact of both rapid demographic change and people’s increasing awareness of making preparations to deal with their ageing issues. Although many efforts have been made to promote AFCs in urban China, challenges remain during the construction process. The engagement of stakeholders, budget and policy issues always challenge communities’ pathways to become age-friendly. Simulation as a tool of analysis and prediction can be applied to propose constructing strategies and explore solutions regarding the above concerns. For a multi-agent system that contains several agents, an agent itself may lack resources, information and capabilities in solving the whole problem; however, interactions between each identifiable agent provide aggregated attributes, which can facilitate decision-making procedures afterwards. Therefore, this paper aims to design a multi-agent platform to simulate the briefing stage and explore strategies for promoting AFCs in urban China. The theory and process to develop the platform according to a case study are described; The simulation results and how the platform can help are discussed. This research will serve as a reference for researchers and practitioners to further explore the briefing stage and efficient strategies for promoting AFCs.
AB - The World Health Organisation has been working for more than a decade to guide global cities and communities to consider, plan and implement age-friendly places in response to the rapid ageing. In China, promoting age-friendly communities (AFCs) is critical due to the fact of both rapid demographic change and people’s increasing awareness of making preparations to deal with their ageing issues. Although many efforts have been made to promote AFCs in urban China, challenges remain during the construction process. The engagement of stakeholders, budget and policy issues always challenge communities’ pathways to become age-friendly. Simulation as a tool of analysis and prediction can be applied to propose constructing strategies and explore solutions regarding the above concerns. For a multi-agent system that contains several agents, an agent itself may lack resources, information and capabilities in solving the whole problem; however, interactions between each identifiable agent provide aggregated attributes, which can facilitate decision-making procedures afterwards. Therefore, this paper aims to design a multi-agent platform to simulate the briefing stage and explore strategies for promoting AFCs in urban China. The theory and process to develop the platform according to a case study are described; The simulation results and how the platform can help are discussed. This research will serve as a reference for researchers and practitioners to further explore the briefing stage and efficient strategies for promoting AFCs.
KW - Age-friendly community (AFC)
KW - Briefing
KW - Multi-agent platform (MAP)
UR - http://www.scopus.com/inward/record.url?scp=85097837391&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-9605-6_13
DO - 10.1007/978-981-15-9605-6_13
M3 - Conference article published in proceeding or book
AN - SCOPUS:85097837391
SN - 9789811596049
T3 - Environmental Science and Engineering
SP - 181
EP - 193
BT - Proceedings of the 2020 International Conference on Resource Sustainability
A2 - Chan, Faith Ka
A2 - Chan, Hing Kai
A2 - Zhang, Tiantian
A2 - Xu, Ming
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Resource Sustainability - Sustainable Urbanisation in the BRI Era, icRS Urbanisation 2020
Y2 - 13 December 2020 through 15 December 2020
ER -