YOUR.VU.CITY- Developing dataflows between a crowd-sourced, building attribute data platform and 3D rendering for enhanced public engagement in built environment planning

YOUR.VU.CITY - 在众包建筑属性数据平台和 3D 渲染之间开发数据流,以增强公众对建筑环境规划的参与

基本信息

  • 批准号:
    105325
  • 负责人:
  • 金额:
    $ 61.38万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Collaborative R&D
  • 财政年份:
    2019
  • 资助国家:
    英国
  • 起止时间:
    2019 至 无数据
  • 项目状态:
    已结题

项目摘要

"VU.CITY has created the largest, most accurate and truly interactive digital city model, which provides a revolutionary tool for architects, developers, advisors and the public sector.VU.CITY saves time and money for anyone involved in planning or development and is directly leading to better decision making, with 18 of 33 London councils already using it. Using game engine technology, users can import their own 3D model into VU.CITY to immediately place their proposals in context and test their visual impact. VU.CITY is fast becoming the industry standard method of considering development plans. The presentation of proposals through VU.CITY will speed up and increase engagement in mandatory public consultations and is already helping councillors make better, more informed decisions in planning committee meetings.Colouring London (CL) is a web based Volunteered Geographic Information (VGI) initiative, designed by the Centre for Advanced Spatial Analysis (CASA), UCL, and created in collaboration with Historic England. Approximately 12 categories of data are being crowdsourced including building age, use, type size, designation status and rebuild history. CL is providing the first ever public resource, and first port of call, for data on the characteristics of London's building stock.CL is currently limited to 2D maps. The proposed project will develop an API to feed CL data directly into VU.CITY to be visualised in 3D. The project also aims to create an app based version of VU.CITY to work on mobile phones (YOUR.VU.CITY). This will enable members of the public to view proposed developments from their current geographical location. The user will simply point their smart phone in the direction of the proposed development site and it will appear within the screen view. Users will be able to provide feedback on the proposed development through the app. Based on the feedback, developers will be able to revise their proposalst. Similarly, developers will be able to receive suggestions and feedback on mixed-use community development sites from potential end users.Our aim is to effect attitude changes around planning:* The public become a source of useful data, rather than an obstacle to development* Development transitions from a destructive force, thrusting unwanted and unsuitable buildings onto the public, to an accountable force for regeneration that communities buy into* Obligatory community spaces in new developments become genuine community assets* Planning ceases to be an expensive overhead for developers and adds value by enabling developments that truly meet their intended users' needs"
“错觉。CITY创建了最大、最准确、真正互动的数字城市模型,为建筑师、开发商、顾问和公共部门提供了一种革命性的工具。vu .CITY为参与规划或开发的任何人节省了时间和金钱,并直接导致更好的决策,伦敦33个议会中有18个已经在使用它。使用游戏引擎技术,用户可以将自己的3D模型导入VU。CITY立即将他们的提案置于背景中,并测试其视觉影响。VU。CITY正迅速成为考虑发展计划的行业标准方法。通过VU提交提案。CITY将加快和增加强制性公众咨询的参与,并已经在帮助议员们在规划委员会会议上做出更好、更明智的决定。着色伦敦(CL)是一个基于网络的志愿地理信息(VGI)倡议,由伦敦大学学院高级空间分析中心(CASA)设计,并与历史悠久的英格兰合作创建。大约有12类数据正在被众包,包括建筑的年龄、用途、类型大小、指定状态和重建历史。CL提供了首个公共资源,也是首个停靠港,以获取有关伦敦建筑存量特征的数据。CL目前仅限于2D地图。拟议的项目将开发一个API,将CL数据直接输入VU。城市将在3D中可视化。该项目还旨在创建一个基于应用程序的VU版本。CITY在移动电话上工作(YOUR.VU.CITY)。这可让市民从现时的地理位置,看到拟议的发展项目。用户只需将他们的智能手机指向拟议开发地点的方向,它就会出现在屏幕视图中。用户将能够通过应用程序对拟议的开发提供反馈。根据反馈,开发人员将能够修改他们的提案。同样,开发商将能够从潜在的最终用户那里获得关于混合用途社区开发地点的建议和反馈。我们的目标是改变人们对规划的态度:*公众成为有用数据的来源,而不是发展的障碍*发展从一种破坏性的力量转变为一种将不需要和不合适的建筑强加给公众的力量;*新开发项目中的强制性社区空间成为真正的社区资产*规划不再是开发商的昂贵开销,而是通过使开发项目真正满足预期用户的需求来增加价值。”

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

其他文献

Internet-administered, low-intensity cognitive behavioral therapy for parents of children treated for cancer: A feasibility trial (ENGAGE).
针对癌症儿童父母的互联网管理、低强度认知行为疗法:可行性试验 (ENGAGE)。
  • DOI:
    10.1002/cam4.5377
  • 发表时间:
    2023-03
  • 期刊:
  • 影响因子:
    4
  • 作者:
  • 通讯作者:
Differences in child and adolescent exposure to unhealthy food and beverage advertising on television in a self-regulatory environment.
在自我监管的环境中,儿童和青少年在电视上接触不健康食品和饮料广告的情况存在差异。
  • DOI:
    10.1186/s12889-023-15027-w
  • 发表时间:
    2023-03-23
  • 期刊:
  • 影响因子:
    4.5
  • 作者:
  • 通讯作者:
The association between rheumatoid arthritis and reduced estimated cardiorespiratory fitness is mediated by physical symptoms and negative emotions: a cross-sectional study.
类风湿性关节炎与估计心肺健康降低之间的关联是由身体症状和负面情绪介导的:一项横断面研究。
  • DOI:
    10.1007/s10067-023-06584-x
  • 发表时间:
    2023-07
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
  • 通讯作者:
ElasticBLAST: accelerating sequence search via cloud computing.
ElasticBLAST:通过云计算加速序列搜索。
  • DOI:
    10.1186/s12859-023-05245-9
  • 发表时间:
    2023-03-26
  • 期刊:
  • 影响因子:
    3
  • 作者:
  • 通讯作者:
Amplified EQCM-D detection of extracellular vesicles using 2D gold nanostructured arrays fabricated by block copolymer self-assembly.
使用通过嵌段共聚物自组装制造的 2D 金纳米结构阵列放大 EQCM-D 检测细胞外囊泡。
  • DOI:
    10.1039/d2nh00424k
  • 发表时间:
    2023-03-27
  • 期刊:
  • 影响因子:
    9.7
  • 作者:
  • 通讯作者:

的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('', 18)}}的其他基金

An implantable biosensor microsystem for real-time measurement of circulating biomarkers
用于实时测量循环生物标志物的植入式生物传感器微系统
  • 批准号:
    2901954
  • 财政年份:
    2028
  • 资助金额:
    $ 61.38万
  • 项目类别:
    Studentship
Exploiting the polysaccharide breakdown capacity of the human gut microbiome to develop environmentally sustainable dishwashing solutions
利用人类肠道微生物群的多糖分解能力来开发环境可持续的洗碗解决方案
  • 批准号:
    2896097
  • 财政年份:
    2027
  • 资助金额:
    $ 61.38万
  • 项目类别:
    Studentship
A Robot that Swims Through Granular Materials
可以在颗粒材料中游动的机器人
  • 批准号:
    2780268
  • 财政年份:
    2027
  • 资助金额:
    $ 61.38万
  • 项目类别:
    Studentship
Likelihood and impact of severe space weather events on the resilience of nuclear power and safeguards monitoring.
严重空间天气事件对核电和保障监督的恢复力的可能性和影响。
  • 批准号:
    2908918
  • 财政年份:
    2027
  • 资助金额:
    $ 61.38万
  • 项目类别:
    Studentship
Proton, alpha and gamma irradiation assisted stress corrosion cracking: understanding the fuel-stainless steel interface
质子、α 和 γ 辐照辅助应力腐蚀开裂:了解燃料-不锈钢界面
  • 批准号:
    2908693
  • 财政年份:
    2027
  • 资助金额:
    $ 61.38万
  • 项目类别:
    Studentship
Field Assisted Sintering of Nuclear Fuel Simulants
核燃料模拟物的现场辅助烧结
  • 批准号:
    2908917
  • 财政年份:
    2027
  • 资助金额:
    $ 61.38万
  • 项目类别:
    Studentship
Assessment of new fatigue capable titanium alloys for aerospace applications
评估用于航空航天应用的新型抗疲劳钛合金
  • 批准号:
    2879438
  • 财政年份:
    2027
  • 资助金额:
    $ 61.38万
  • 项目类别:
    Studentship
Developing a 3D printed skin model using a Dextran - Collagen hydrogel to analyse the cellular and epigenetic effects of interleukin-17 inhibitors in
使用右旋糖酐-胶原蛋白水凝胶开发 3D 打印皮肤模型,以分析白细胞介素 17 抑制剂的细胞和表观遗传效应
  • 批准号:
    2890513
  • 财政年份:
    2027
  • 资助金额:
    $ 61.38万
  • 项目类别:
    Studentship
CDT year 1 so TBC in Oct 2024
CDT 第 1 年,预计 2024 年 10 月
  • 批准号:
    2879865
  • 财政年份:
    2027
  • 资助金额:
    $ 61.38万
  • 项目类别:
    Studentship
Understanding the interplay between the gut microbiome, behavior and urbanisation in wild birds
了解野生鸟类肠道微生物组、行为和城市化之间的相互作用
  • 批准号:
    2876993
  • 财政年份:
    2027
  • 资助金额:
    $ 61.38万
  • 项目类别:
    Studentship

相似海外基金

Developing a 3D printed skin model using a Dextran - Collagen hydrogel to analyse the cellular and epigenetic effects of interleukin-17 inhibitors in
使用右旋糖酐-胶原蛋白水凝胶开发 3D 打印皮肤模型,以分析白细胞介素 17 抑制剂的细胞和表观遗传效应
  • 批准号:
    2890513
  • 财政年份:
    2027
  • 资助金额:
    $ 61.38万
  • 项目类别:
    Studentship
Developing behavioural methods to assess pain in horses
开发评估马疼痛的行为方法
  • 批准号:
    2686844
  • 财政年份:
    2025
  • 资助金额:
    $ 61.38万
  • 项目类别:
    Studentship
Developing eye models to improve eye treatments and contact/intraocular lens technologies
开发眼部模型以改善眼部治疗和隐形眼镜/人工晶状体技术
  • 批准号:
    2608661
  • 财政年份:
    2025
  • 资助金额:
    $ 61.38万
  • 项目类别:
    Studentship
Flok Health: Developing a pocket physiotherapist to deliver personalised healthcare at population scale
Flok Health:开发袖珍物理治疗师以在人口规模上提供个性化医疗保健
  • 批准号:
    10100082
  • 财政年份:
    2024
  • 资助金额:
    $ 61.38万
  • 项目类别:
    Collaborative R&D
Developing systemic interventions for intimate partner financial abuse
制定针对亲密伴侣经济虐待的系统干预措施
  • 批准号:
    DP240101075
  • 财政年份:
    2024
  • 资助金额:
    $ 61.38万
  • 项目类别:
    Discovery Projects
NESP MaC Project 4.5– Developing an Integrated Pest Management Framework for Feral Pigs in Coastal Environments 2024-2026 (NAILSMA)
NESP MaC 项目 4.5 — 为 2024-2026 年沿海环境中的野猪制定综合害虫管理框架 (NAILSMA)
  • 批准号:
    global : ba1e00f0-9953-4c17-b990-ba7aed84ce07
  • 财政年份:
    2024
  • 资助金额:
    $ 61.38万
  • 项目类别:
Developing and Visualising a Retrieval-Augmented Deep Learning Model for Population Health Management
开发和可视化用于人口健康管理的检索增强深度学习模型
  • 批准号:
    2905946
  • 财政年份:
    2024
  • 资助金额:
    $ 61.38万
  • 项目类别:
    Studentship
Developing functionalised electrospun scaffolds to exploit neural stromal interactions in wound healing
开发功能化电纺支架以利用神经基质相互作用促进伤口愈合
  • 批准号:
    2910663
  • 财政年份:
    2024
  • 资助金额:
    $ 61.38万
  • 项目类别:
    Studentship
Developing a Census Based Generative Geodemographic Classification System
开发基于人口普查的生成地理人口分类系统
  • 批准号:
    ES/Z50273X/1
  • 财政年份:
    2024
  • 资助金额:
    $ 61.38万
  • 项目类别:
    Research Grant
Developing new tests and treatments to enable prevention of osteoarthritis.
开发新的测试和治疗方法以预防骨关节炎。
  • 批准号:
    MR/Y003470/1
  • 财政年份:
    2024
  • 资助金额:
    $ 61.38万
  • 项目类别:
    Fellowship
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了