COSMIC: Complexity in Spatial Dynamics

宇宙：空间动力学的复杂性

• 批准号: EP/I018433/1
• 负责人: Michael Batty
• 金额: $ 23.07万
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2010
• 资助国家: 英国
• 起止时间: 2010 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FI018433%2F1
• 关键词: COSMIC; Complexity; Spatial; Dynamics

COSMIC (COmplexity in Spatial dynaMICs) is a proposal linking three research groups (Vrie University (VU) Amsterdam, UCL and National University of Ireland at Maynooth (NUIM)) dealing with urban science and geo-spatial analysis. The network will focus on urban dynamic processes using new bottom up, digital data collected for entire populations. We believe that such data will provide dramatically new insights into urban change which manifest themselves in often discontinuous forms which can be articulated using a variety of reaction-diffusion dynamics incorporating catastrophe, chaos, bifurcations, and phase transitions. In cities, such reactions range from the emergence of edge cities to patterns of residential segregation, embodying social exclusion in various forms. We first develop a typology of urban dynamic processes to guide the development of models using new digital data collected in real time from electronic transactions such as phone lines, electronic ticketing, and related geo-sensing. Our unifying focus will be on flow data associated with underlying networks with the models revolving around spatial interaction from labour markets to pedestrian movement. VU will explore methods for estimating dynamic models of labour markets in Germany and urban navigation in Amsterdam, UCL will develop models of movement and location from phone and ticketing data in London, while NUIM will explore movement in small scale environments represented at the building and streetscape scale in Dublin. The network will be supported by three major workshops, exchanges of researchers between sites, and strong external links to other groups, in anticipation that from this pilot project, a proposal for a much wider network will emerge.

COSMIC（空间动力学的复杂性）是一项将三个研究小组（阿姆斯特丹弗里大学 (VU)、伦敦大学学院和爱尔兰国立大学梅努斯分校 (NUIM)）联系起来的提案，研究城市科学和地理空间分析。该网络将利用为全体人口收集的新的自下而上的数字数据来关注城市动态过程。我们相信，这些数据将为城市变化提供全新的见解，这些变化通常以不连续的形式表现出来，可以使用各种反应扩散动力学来表达，包括灾难、混乱、分歧和相变。在城市中，这种反应从边缘城市的出现到居住隔离模式，体现了各种形式的社会排斥。我们首先开发了城市动态过程的类型学，以指导使用从电话线、电子票务和相关地理传感等电子交易中实时收集的新数字数据来开发模型。我们的统一重点将是与底层网络相关的流量数据，以及围绕从劳动力市场到行人运动的空间交互的模型。维多利亚大学将探索估计德国劳动力市场动态模型和阿姆斯特丹城市导航的方法，伦敦大学学院将根据伦敦的电话和票务数据开发运动和位置模型，而努伊尔大学将探索以建筑物和街景为代表的小规模环境中的运动都柏林的规模。该网络将得到三个主要研讨会、站点之间的研究人员交流以及与其他团体的强大外部联系的支持，预计从这个试点项目中将出现一个更广泛网络的提案。

项目成果

City size: Spatial dynamics as temporal flows

• DOI: 10.1177/0308518x15621634
• 发表时间: 2016-06-01
• 期刊: ENVIRONMENT AND PLANNING A-ECONOMY AND SPACE
• 影响因子: 4.2
• 作者: Edwards, Robin;Batty, Michael
• 通讯作者: Batty, Michael

Visualisation Tools for Understanding Big Data

• DOI: 10.1068/b3903ed
• 发表时间: 2012-06
• 期刊: Environment and Planning B: Planning and Design
• 作者: J. Cheshire;M. Batty

Improving the accessibility of urban transportation networks for people with disabilities

• DOI: 10.1016/j.trc.2013.10.005
• 发表时间: 2014-08-01
• 期刊: TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
• 影响因子: 8.3
• 作者: Ferrari, Liura;Berlingerio, Michele;Reades, Jon
• 通讯作者: Reades, Jon

Mining bicycle sharing data for generating insights into sustainable transport systems

• DOI: 10.1016/j.jtrangeo.2013.06.007
• 发表时间: 2014-01-01
• 期刊: JOURNAL OF TRANSPORT GEOGRAPHY
• 影响因子: 6.1
• 作者: O'Brien, Oliver;Cheshire, James;Batty, Michael
• 通讯作者: Batty, Michael

Revisiting the Past: Replicating Fifty-Year-Old Flow Analysis Using Contemporary Taxi Flow Data

• DOI: 10.1080/24694452.2017.1374164
• 发表时间: 2018-05
• 期刊: Annals of the American Association of Geographers
• 影响因子: 3.9
• 作者: Urška Demšar;J. Reades;E. Manley;M. Batty