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

本研究从政策、规划和设计三个方面探讨了城市数据与建筑环境决策的关系。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、面对面联合设计研讨会、物联网、传感器)如何通过为设计/政策、入住后评估或未来场景建模提供信息，并为决策过程增加价值，以及对用户体验、环境、健康和福祉结果的任何后续影响。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，更好地将目前关于城市的知识与建筑环境决策的实际应用联系起来。目的：探索城市数据如何已经在世界各地的城市建筑环境决策中使用。调查对决策的影响，包括健康、福祉和用户体验结果。探索城市数据的未来潜力，以用户体验为重点，为城市规划、政策或设计决策增加价值。分支学习这项研究将具有创新性。博士学位的产出将使所建立的东西与从先前建立的东西中吸取的经验教训之间建立一个更有效的正反馈循环。实时数据流和模拟模型的探索将支持更灵活和更具响应性的决策。学习成果将融入到与行业合作伙伴相连的地方，从而引发未来规划计划。产出：工具包：总结10个全球案例研究。取得的成功/吸取的教训。分享有关应用城市数据技术的实用知识。通过网站/邮件分发-学者、专业人员、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/度量构建环境决策者可以利用来最大化用户体验、健康和福祉结果。会议：与公众、学者和专业人员共享框架/工具包。演讲者：互联空间弹射器、案例研究参与者、城市数据/设计专家、研究人员。网站：提供开源工具包、框架、会议演讲、案例研究。与世界各地提供建筑环境公共服务/政策/倡议的人(专业人士、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。考虑到有形基础设施变化的成本和规划政策对全市的长期影响，这一点特别有价值。博士学位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)。

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).