What makes a place busy? Characterising the spatiotemporal elements of the ambient population using a range of data sources

是什么让一个地方变得忙碌？

• 批准号: 2872654
• 金额: --
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2872654
• 关键词: What; makes; place; busy; Characterising

The PhD project on the topic "What makes a place busy? Characterising the spatiotemporal elements of the ambient population using a range of data sources" is offeredby the UCL Department of Geography and Consumer Data Research Centre(www.cdrc.ac.uk). The primary supervisor is Professor James Cheshire and thesecondary one is Dr Stephen Law. The research will be carried out in association withGHD Group Movement Strategies, a leading people movement consultancy, whichsupplies mobility datasets to be analysed in this project(https://www.ghd.com/en/about-us/ghd-movement-strategies.aspx).The proposed PhD aims to combine individual-based data from mobile devices (GPSbased) and place-based data measuring footfall (via CCTV) to enhance thequantification of ambient populations in urban areas. This will provide a betterunderstanding of dense urban situations such as large stadia, transport hubs, andurban town centres to generate evidence that informs urban policies.Through the programme, I will acquire skills in data science and machine learning foranalysing mobility and imagery datasets as well as develop novel techniques for theirvalidation. This will help to characterize the spatial and temporal population profiles ofplaces at different scales. Providing the framework for utilising and modelling thedatasets of interest will help in planning, designing, and operating crowded places withthe objectives of making them safer, maximising capacity, enhancing the visitorexperience, and increasing profitability. For instance, at the local scale, data may beused to monitor movement density and to detect risks and anomalies in transport hubsand large-scale events (stadia, festivals, concerts) and/or at the national scale,characterising the health of urban retail centres (volume, retail turn-over).Furthermore, through the PhD thesis and academic papers, I will link the mobility datasources to urban geography and urban planning issues, with the aim of creating outputthat is innovative and influential on urban policy, smart city solutions as well as futureresearch. Thus, both the public and private sectors would benefit from the findings ofthis project.

伦敦大学学院地理系和消费者数据研究中心 (www.cdrc.ac.uk) 提供了主题为“是什么让一个地方忙碌？使用一系列数据源描述周围人口的时空要素”的博士项目。第一导师是 James Cheshire 教授，第二导师是 Stephen Law 博士。该研究将与领先的人员流动咨询公司 GHD Group Movement Strategies 合作进行，该公司提供了本项目要分析的流动数据集 (https://www.ghd.com/en/about-us/ghd-movement-strategies) .aspx）。拟议的博士学位旨在将来自移动设备（基于 GPS）的基于个人的数据与测量客流量的基于地点的数据（通过闭路电视）结合起来，以增强城市地区周围人口的量化。这将有助于更好地了解大型体育场、交通枢纽和城镇中心等密集的城市情况，从而生成为城市政策提供信息的证据。通过该计划，我将获得数据科学和机器学习方面的技能，以分析流动性和图像数据集以及开发新的技术来验证它们。这将有助于描述不同尺度地方的空间和时间人口概况。提供利用和建模感兴趣的数据集的框架将有助于规划、设计和运营拥挤的场所，其目标是使场所更安全、最大限度地提高容量、增强游客体验并提高盈利能力。例如，在本地范围内，数据可用于监测交通密度并检测交通枢纽​​和大型活动（体育场、节日、音乐会）和/或在全国范围内的风险和异常情况，表征城市零售中心的健康状况（数量、零售营业额）。此外，通过博士论文和学术论文，我将把移动数据源与城市地理和城市规划问题联系起来，目的是创造对城市政策、智能城市具有创新性和影响力的输出。城市解决方案以及未来研究。因此，公共和私营部门都将从该项目的研究结果中受益。