Housing Allocation & Upgraded Solutions (HAUS)

住房分配

• 批准号: 133685
• 金额: $ 13.51万
• 依托单位: THE BEHAVIOURALIST
• 依托单位国家: 英国
• 项目类别: Feasibility Studies
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=133685
• 关键词: Housing; Allocation; Upgraded; Solutions; HAUS

"Governments around the world spend vast sums providing public housing, but often fail to allocate it efficiently. Our academic research shows that game theory and market design can be used to provide better matches between people and homes, with significant improvements in social welfare. A more efficient housing allocation system could generate many millions of pounds worth of value.We aim to develop a Software as a Service (SaaS) solution to the problem of inefficient public housing allocation that can help councils in the UK as well as housing providers abroad.This SaaS will allocate homes using the latest findings from market design. Our solution will be based on original research conducted by members of our team. We have designed new matching algorithms that are both implementable and far more efficient than the allocation systems currently in place."

“世界各国政府花费巨资提供公共住房，但往往不能有效地分配。我们的学术研究表明，博弈论和市场设计可以用来提供更好的人与家之间的匹配，并显著改善社会福利。一个更高效的住房分配系统可能会产生数百万英镑的价值。我们的目标是开发一种软件即服务(SaaS)解决方案，以解决公共住房分配效率低下的问题，帮助英国议会和国外的住房提供商。该软件即服务将利用市场设计的最新发现来分配住房。我们的解决方案将基于我们团队成员进行的原创研究。我们设计了新的匹配算法，这些算法既可实施，又比目前的分配系统效率高得多。