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

“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。”

"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"