Urban Big Data

城市大数据

• 批准号: ES/L011921/1
• 负责人: Piyushimita (Vonu) Thakuriah
• 金额: $ 1762.48万
• 依托单位: University of Glasgow
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2014
• 资助国家: 英国
• 起止时间: 2014 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FL011921%2F1
• 关键词: Urban; Big; Data

The proposed UBDRC will bring together an internationally outstanding combination of researchers, data resources and engaged local and national stakeholders to establish a unique linked data resource based in the University of Glasgow (UoG). Through extensive partnerships with other key academic institutions, data-owning organizations, and other scientific, governmental, third sector and business organizations, the UBDRC will: (i) establish a world leading facility to create an multi-sectoral urban linked data resource from local government authorities and business owners in Glasgow; (ii) provide outstanding training and research support services to ensure wide exploitation of the data; and (iii) deliver a strategic approach to knowledge transfer and training to build capacity and engage with policy, business, and the wider public. The UBDRC will provide a unique facility for researching cross-cutting urban issues and complex urban challenges by enabling access to multi-sectoral linked data from local government, business and other sources. This vision will be achieved by: (1) Data Services: UBDRC will focus on bringing together myriad of datasets many of which are unique and hard to obtain, from multiple urban sectors to create a linked urban data resource that allows comprehensive and cross-sectoral research. The centre will provide data curation services and the necessary metadata and provide a range of data access services to users, including, where necessary, secure access to confidential data. (2) Methods and social science research: UBDRC will develop, test and evaluate a wide range of methodological approaches including urban and regional modeling, agent-based models, machine learning and other methods and will support research leading to new cross-cutting theoretical insights, hypotheses and understanding of urban systems, thereby stimulating foundational research on new models of urban behaviour, processes and service provision. The data resource will be used to develop spatially-indexed (and perhaps temporally-indexed) urban indicators on myriad aspects describing the quality and character of urban spaces, and the spatial distribution of the urban processes, eg, on environmental risks, mobility and accessibility patterns, housing and educational aspects, and other aspects that desribe the socio-demographic, economic, environmental, built environment, physical and other aspects of urban areas.. The data would further allow policy research on a wide range of urban sectors and the derivation of a multitude of approaches for urban governance and business development. Additionally, new insights may be derived for capacity-building, innovations and learning strategies to better equip citizens to meet a diversity of challenges in cities of the future. (3) Knowledge Exchange, Outreach and Public Engagement: The UBDRC will be an important node in a growing network of UK-wide and international initiatives on cities. The networks include: international centres on urban research and cities, international research Networks, and networks of governmental, private, non-profit and other organizations.The UBDRC will undertake a research programme to advance the state-of-the-art of methods related to the use of the data resource, as well as an applied urban research stream to demonstrate the use of the linked urban Big Data resource and to derive understanding towards theory, planning and policy. Research Group 1: Methods Research: A series of computational, data management, statistical, and urban analytics projects will be undertaken to make the data more easily accessible and usable. Group 2: Urban Research Projects (URPs): Research projects on substantive urban issues such as transport, housing, migration and education will demonstrate to data owners and policy makers the value of large-scale, cross-sectoral data linkage and lead to policy insights for public, private and non-profit decision-makers.

拟议的UBDRC将汇集研究人员，数据资源和参与当地和国家利益相关者的国际杰出组合，以建立一个独特的链接数据资源，总部设在格拉斯哥大学（UoG）。通过与其他主要学术机构、数据拥有组织以及其他科学、政府、第三部门和商业组织的广泛合作，UBDRC将：（i）建立一个世界领先的设施，以创建来自格拉斯哥地方政府当局和企业主的多部门城市链接数据资源;（ii）提供出色的培训和研究支持服务，以确保数据的广泛利用;以及（iii）提供知识转移和培训的战略方法，以建设能力，并与政策、企业和更广泛的公众接触。UBDRC将提供一个独特的设施，通过访问来自当地政府，企业和其他来源的多部门关联数据，研究跨领域的城市问题和复杂的城市挑战。这一愿景将通过以下方式实现：（1）数据服务：UBDRC将专注于汇集来自多个城市部门的大量数据集，其中许多数据集是独特的，难以获得，以创建一个相互关联的城市数据资源，从而进行全面和跨部门的研究。该中心将提供数据管理服务和必要的元数据，并向用户提供一系列数据访问服务，包括在必要时安全访问机密数据。(2)方法和社会科学研究：UBDRC将开发，测试和评估广泛的方法学方法，包括城市和区域建模，基于代理的模型，机器学习和其他方法，并将支持研究导致新的跨领域理论见解，假设和对城市系统的理解，从而刺激对城市行为，流程和服务提供新模式的基础研究。数据资源将用于开发空间索引（或许还有时间索引）描述城市空间质量和特征的各个方面的城市指标，以及城市进程的空间分布，例如环境风险、流动性和可达性模式、住房和教育方面，以及描述社会人口、经济、环境、建筑环境的其他方面，城市地区的物质和其他方面。这些数据将进一步有助于对广泛的城市部门进行政策研究，并为城市治理和商业发展制定多种方法。此外，还可以从能力建设、创新和学习战略方面获得新的见解，使公民能够更好地应对未来城市的各种挑战。(3)知识交流，外联和公众参与：UBDRC将成为不断增长的英国和国际城市倡议网络的重要节点。这些网络包括：国际城市研究中心和城市，国际研究网络，以及政府，私人，非营利组织和其他组织的网络。UBDRC将开展一项研究计划，以推进与数据资源使用相关的最新方法，以及应用城市研究流，以展示链接的城市大数据资源的使用，并获得对理论的理解，规划和政策。第一研究组：方法研究：将开展一系列计算、数据管理、统计和城市分析项目，使数据更容易获得和使用。第二组：城市研究项目（URPs）：关于交通、住房、移民和教育等实质性城市问题的研究项目将向数据所有者和决策者展示大规模跨部门数据连接的价值，并为公共、私人和非营利决策者提供政策见解。

项目成果

Children's Health in Care in Scotland (CHiCS): Main findings from population-wide research

苏格兰儿童健康护理 (CHiCS)：全人口研究的主要结果

• DOI: 10.36399/gla.pubs.279347
• 作者: Allik M

Macroscopic modelling and robust control of bi-modal multi-region urban road networks

• DOI: 10.1016/j.trb.2017.05.007
• 发表时间: 2017-10
• 期刊: Transportation Research Part B-methodological
• 影响因子: 6.8
• 作者: K. Ampountolas;Nan Zheng;N. Geroliminis

OP17 Ethnic differences in ill health and in socioeconomic inequalities in health: population study using 2011 Scottish Census

OP17 健康不良和健康方面的社会经济不平等的种族差异：使用 2011 年苏格兰人口普查进行的人口研究

• 发表时间: 2017
• 作者: Allik M

Welfare State and Representation: Do Women Make the Welfare State or Does the Welfare State Make Women Representatives?

福利国家与代表权：是妇女造就了福利国家，还是福利国家造就了妇女代表？

• DOI: 10.1080/00344893.2017.1300599
• 发表时间: 2017
• 期刊: Representation
• 作者: Allik M

Sensing spatiotemporal patterns in urban areas: analytics and visualizations using the integrated multimedia city data platform

• DOI: 10.2148/benv.42.3.415
• 发表时间: 2016-10
• 期刊: Built Environment
• 作者: P. Thakuriah;Katarzyna Siła-Nowicka;Jorge David Gonzalez Paule