LOcality analytiCs for urbAn Living ("LOCAL")

城市生活的地点分析（“LOCAL”）

• 批准号: 133630
• 金额: $ 3.77万
• 依托单位: CARTOGRAPHIX LTD
• 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=133630
• 关键词: LOcality; analytiCs; urbAn; Living; LOCAL

"In 2016 \>1.2million UK residential property transactions took place, averaging £225,956\. For most people, property is the most expensive purchase they ever make, and as a long-term investment, requires extensive research to ensure the right choice is made.Top among factors to research is ""location, location, location,"" with properties boasting desirable location attributes, such as proximity to green space commanding a premium. While real estate vendors have made some effort to incorporate basic location data into their service offerings, e.g. school performance reports, the range (usually no more than 3-4 variables), depth (typically static, and single dimension) and quality (often out of date, and only partial) are limited, and the user experience remains fragmented and clunky (e.g. requiring separate views for each variable or even in some instances, simply suggesting which 3rd party sites users may wish to explore). To determine a property's local environment and factors conditioning future life quality, e.g. air quality, noise pollution, connectivity, etc, the onus remains on the prospective buyer to do their own research. Lacking expertise in data analytics, or even familiarity with what data is available and where, this often results in long, frustrating, expensive, and sometimes unsuccessful searches. By failing to seize an opportunity to provide their customers with additional value, real estates agents are missing out on a means of extending their service offering, boosting customer engagement and differentiating themselves, while end users are unable to fully factor the quality of a local environment into their property-purchasing decision-making. Without knowing a location's true quality of living, including local public service provisions, the value ascribed to these services is not adequately captured in property prices and people remain unaware of services on their doorstep.This 6 month LOCAL feasibility study will assess the potential to exploit the deluge of new geo-referenced and time-coded data being generated from various sources to create meaningful, multi-dimension analytics on the urban environment that can be sold on a data-as-a-service basis to facilitate a vastly enhanced home-buying user experience.Led by UK start-up cartographiX, experts in geolocation analytics and machine learning, project activities include supplier engagement/appraisal, systems architecture research, and end user proposition validation and refinement, culminating in a refined business plan."

“2016年，英国发生了120万笔住宅房地产交易，平均交易额为225,956英镑。对于大多数人来说，房产是他们所做过的最昂贵的购买，作为一项长期投资，需要进行广泛的研究以确保做出正确的选择。最值得研究的因素是“位置，位置，位置”，拥有理想位置属性的房产，比如靠近绿地，可以获得溢价。虽然房地产供应商已经做出了一些努力，将基本的位置数据整合到他们的服务产品中，例如学校成绩报告，但范围（通常不超过3-4个变量），深度（通常是静态的，单一维度）和质量（通常是过时的，只是部分）是有限的，用户体验仍然是碎片化和笨拙的(例如，每个变量需要单独的视图，甚至在某些情况下，简单地建议哪些第三方网站用户可能希望探索)。为了确定一处房产的当地环境和影响未来生活质量的因素，例如空气质量、噪音污染、连通性等，潜在买家有责任自己做研究。缺乏数据分析方面的专业知识，甚至不熟悉哪些数据可用以及在哪里可用，这通常会导致漫长、令人沮丧、昂贵，有时甚至是不成功的搜索。由于未能抓住机会为客户提供额外的价值，房地产经纪人失去了扩展服务、提高客户参与度和差异化的手段，而最终用户也无法在购买房产时充分考虑当地环境的质量。如果不了解一个地区的真实生活质量，包括当地的公共服务提供情况，这些服务的价值就不会充分体现在房地产价格中，人们也不会意识到家门口有服务。这项为期6个月的LOCAL可行性研究将评估利用从各种来源生成的大量新的地理参考和时间编码数据的潜力，以创建有意义的、多维的城市环境分析，这些分析可以在数据即服务的基础上出售，从而极大地增强购房用户体验。由英国初创公司cartographiX、地理定位分析和机器学习专家领导，项目活动包括供应商参与/评估、系统架构研究、最终用户提议验证和改进，最终形成一份完善的商业计划。”