LOcality analytiCs for urbAn Living ("LOCAL")

“2016年，英国发生了120万宗住宅物业交易，平均价格为225，956英镑。对于大多数人来说，房产是他们所购买的最昂贵的东西，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。研究的首要因素是“位置，位置，位置”，房产拥有理想的位置属性，例如靠近绿色空间，价格不菲。虽然真实的房地产供应商已经做出了一些努力来将基本位置数据并入到他们的服务产品中，例如学校表现报告，但是范围（通常不超过3-4个变量），深度（通常为静态和一维）和质量（经常过时，只是部分）是有限的，并且用户体验仍然是碎片化的和笨重的（例如，对于每个变量需要单独的视图，或者甚至在某些情况下，仅仅建议用户可能希望探索哪些第三方站点）。为了确定物业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，潜在买家有责任做自己的研究。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，这通常会导致长时间，令人沮丧，昂贵，有时甚至不成功的搜索。由于未能抓住机会为客户提供额外价值，真实的房地产经纪人错过了扩展服务、提高客户参与度和差异化的手段，而最终用户无法将当地环境的质量充分考虑到其物业购买决策中。如果不知道一个地方的真实生活质量，包括当地的公共服务供应，这些服务的价值就不能充分反映在房地产价格中，人们仍然不知道他们家门口的服务。这项为期6个月的可行性研究将评估利用各种来源产生的大量新的地理参考和时间编码数据的潜力，城市环境的多维分析，可以在数据即服务的基础上销售，以促进大大增强的购房用户体验。由英国初创公司cartographiX领导，地理位置分析和机器学习专家，项目活动包括供应商参与/评估，系统架构研究，最终用户提案验证和完善，最终形成一个完善的商业计划。"

"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the range (usually no more than 3-4 variables), depth (typically static, and single dimension) and quality (often out of date, and only partial) are limited, and the user experience remains fragmented and clunky (e.g. requiring separate views for each variable or even in some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."