Urban data and decision-making: emerging technologies and built environment design

城市数据和决策：新兴技术和建筑环境设计

• 批准号: 2283072
• 金额: --
• 依托单位: University of Edinburgh
• 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-2283072
• 关键词: Urban; data; decision; making; emerging

The research explores the relationship between urban data and built environment decision-making, in terms of policy, planning and design. It focuses on how contemporary urban data innovations, approaches and technologies (e.g. crowdsourcing, big data mining, in-person co-design workshops, IoT, sensors) can provide insight and add value to decision-making processes by informing designs/policy, post-occupancy evaluation or future scenario modelling, and any subsequent impact on user experience, environmental, health and well-being outcomes. For example, by creating pedestrian/cycle-friendly cities, promoting social interaction in public space, or increasing greenspace provision. This will help close a gap, better connecting what can now be learnt about the city, with the practical application of built environment decision-making.Aims: Explore how urban data is already used in cities built environment decision-making worldwide.Investigate the impact on decision-making, including health, well-being, user experience outcomes.Explore the future potential for urban data to add value to urban planning, policy or design decisions, focussing on user experience.Disseminate learnings The research will be innovative. PhD outputs will enable a more effective positive feedback loop between what is built, and lessons learned from what was built previously. Exploration of live data streams and simulated models will support more agile and responsive decision-making. Learnings will feed into industry partner - Connected Places Catapults Future of Planning programme. Outputs: Toolkit: summarising 10 global case studies. Successes/lessons learnt. Sharing practical knowledge about applying urban data techniques. Distributed via website/mailing-list of academics, professionals, citizens, including research participants.Framework: highlighting recommended data-driven techniques/metrics built environment decision-makers could utilise to maximise user experience, health, well-being outcomes.Conference: sharing framework/toolkit with public, academics, professionals. Speakers: Connected Places Catapult, case study participants, urban data/design experts, researchers.Website: featuring open source toolkit, framework, conference talks, case studies. Sharing learnings with those delivering built environment public services/policy/initiatives worldwide (professionals, citizen groups). Research impact will include adding to academic knowledge, as well as improving the effectiveness of future urban policy/design decisions. This is particularly valuable given the costs of physical infrastructure changes and long-term city-wide impacts of planning policy. The PhD would help decision-makers take practical steps to use urban user experience data, improving societal (health/well-being) and economic outcomes (better targeting finite public funds/services).

该研究探讨了城市数据与建筑环境决策之间的关系，包括政策，规划和设计。它侧重于当代城市数据创新，方法和技术（例如众包，大数据挖掘，面对面的共同设计研讨会，物联网，传感器）如何通过为设计/政策，入住后评估或未来情景建模提供信息，以及对用户体验，环境，健康和福祉结果的任何后续影响，为决策过程提供洞察力和增加价值。例如，通过创建步行/自行车友好型城市，促进公共空间的社会互动，或增加绿地供应。这将有助于缩小差距，更好地将现在对城市的了解与建筑环境决策的实际应用联系起来。目的：探索城市数据在全球城市建筑环境决策中的应用。调查对决策的影响，包括健康，福祉，用户体验结果。探索城市数据为城市规划增值的未来潜力，政策或设计决策，关注用户体验。传播学习研究将是创新的。博士的产出将使一个更有效的积极反馈循环之间建立什么，从什么是以前建立的经验教训。对实时数据流和模拟模型的探索将支持更敏捷和响应更快的决策。学习将反馈到行业合作伙伴-连接的地方弹射未来的规划方案。产出：工具包：总结10项全球案例研究。取得的成功/吸取的教训。分享应用城市数据技术的实用知识。通过网站/邮件分发-学者，专业人士，公民，包括研究参与者的名单。框架：突出推荐的数据驱动技术/指标，建筑环境决策者可以利用这些技术/指标来最大限度地提高用户体验，健康，福祉成果。会议：与公众，学者，专业人士分享框架/工具包。演讲者：连接的地方弹射器，案例研究参与者，城市数据/设计专家，研究人员。网站：具有开源工具包，框架，会议会谈，案例研究。与世界各地提供人造环境公共服务/政策/举措的机构（专业人员、公民团体）分享经验。研究的影响将包括增加学术知识，以及提高未来城市政策/设计决策的有效性。考虑到实体基础设施变化的成本和规划政策对全市的长期影响，这一点尤其有价值。博士将帮助决策者采取实际步骤，利用城市用户体验数据，改善社会（健康/福祉）和经济成果（更好地针对有限的公共资金/服务）。