Behavioural Modelling of Space and Time in the City Context: Implications for Urban Wellbeing

城市环境中时空的行为建模：对城市福祉的影响

• 批准号: 2236389
• 金额: --
• 依托单位: University of Birmingham
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2236389
• 关键词: Behavioural; Modelling; Space; Time; City

Current research in economics and psychology shows that people of different ages perceive time and space differently. This project will systematically measure those differences and relate them to urban wellbeing. The research will use data inference and machine learning algorithms to develop ways in which end users (citizens, households, policy-makers, and businesses) can change their behaviour in order to reach higher levels of urban wellbeing in the city context. Design and conduct laboratory and field experiment will then be used to test how wellbeing data and behavioural insights should be presented to citizens in order to 'nudge' them to make more optimal decisions and to increase urban wellbeing. The responsibilities of the role are to focus on the design and development of: (i) feedback protocols and (ii) incentive mechanisms, informed by the work of the project team on human-computer and human-data interactions; and (iii) evaluation of mechanisms for specifying happiness requirements as well as determining the data flow between the platforms used by the team, partners (SunBath and Databox), and external applications.Throughout this project an independent programme of research will be developed and I will explore how individual citizens and households could be 'nudged' to make better decisions about their urban environment and lifestyle, in order to increase their wellbeing.

当前的经济学和心理学研究表明，不同年龄的人对时间和空间的看法不同。该项目将系统地衡量这些差异，并将它们与城市福祉联系起来。该研究将使用数据推理和机器学习算法来开发最终用户（公民，家庭，政策制定者和企业）可以改变其行为以在城市环境下达到更高水平的城市福祉的方式。然后，将使用设计和进行实验室和现场实验来测试应向公民提供福祉数据和行为见解，以“推动”他们做出更最佳的决定并增加城市福祉。该角色的责任是将重点放在：（i）反馈方案和（ii）的激励机制，该机制由项目团队在人类计算机和人类数据互动方面的工作所启示； （iii）评估指定幸福要求的机制，并确定团队使用的平台，合作伙伴（Sunbath和Databox）和外部应用之间的数据流。通过该项目将开发一项独立的研究计划，我将探讨如何“纽约”如何“无聊”以更好地决定自己的城市环境和生活方式，以使他们的脉络环境和生活方式变得更好。