JPI Urban Europe/NSFC SustaInable Mobility and Equality in mega-ciTy RegIons: patterns, mechanisms and governance

JPI Urban Europe/NSFC 超大城市地区的可持续流动性和平等：模式、机制和治理

• 批准号: ES/T000287/1
• 负责人: Michael Batty
• 金额: $ 38.66万
• 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: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FT000287%2F1
• 关键词: JPI; Urban; Europe; NSFC; SustaInable

We will develop a world-class science platform relevant to political decision-makers responsible for housing, transport, employment and urban development in the world's biggest mega-city region, the Pearl River Delta Greater Bay Area. This platform integrates work on inequality indicators and predicting future land use and transport developed in western Europe in London and the Randstad with related work in Shenzhen and Guangzhou, producing a system that will use state-of-the-art simulation models, big data from routine transport, and new ways of using information technology for participatory governance. We argue that such a platform is essential for the very largest cities which are qualitatively different from smaller cities. The platform developed here would be a world first.The 21st century will be dominated by very large urban agglomerations, qualitatively different from those big cities that our contemporary analytical understanding and models of governance are able to handle. The growth of these mega-city regions is heavily influenced by the fusion of existing cities as well as by rapid continental scale migration. This growth is generating severe problems of social segregation, connectivity, mobility, and income inequalities that require new and powerful methods of analytical understanding such as those being developed using real-time 'big' data sources and new information technologies. We propose to develop the platform for prediction and urban governance using the Pearl River Delta 'Greater Bay Area' mega-city region as a demonstrator, bringing sustainability indicators and simulation models from the Greater London and urban Holland (the Randstad) regions to inform the development of an urban data and simulation platform relevant to designing and testing scenarios for new modes of transport and the alleviation of socio-economic inequalities in the Bay Area. These problems, we believe, will be key to mega-city regions during the rest of this century. The project will:(1) integrate already developed Land Use Transportation Interaction (LUTI) models for London and the Randstad with ongoing cellular development and transport models for the Greater Bay Area, (2) develop new indicators for measuring spatial efficiency and equity, (3) develop analytics to inform innovative policy analysis and governance, and (4) demonstrate these tools in association with planning agencies and government across the region.CASA (The Centre for Advanced Spatial Analysis) in University College London (UCL) will coordinate and lead the project and the consortium of seven partners will be based on the GIS group at Birkbeck University of London (BBK), the Geocomputation group at King's College London (KCL), the School of Business and Economics, Vrije Universiteit Amsterdam (VUA), the Geomatics Department and Smart Cities Institute at Shenzhen University (SZU), the Shenzhen Institute of Research and Innovation in the The University of Hong Kong (HKU-SIRI) at Shenzhen, and the Department of Geography at Sun Yat-sen University (SYSU).

我们将开发一个世界级的科学平台，面向负责全球最大的特大城市区域--珠江三角洲大湾区--的住房、交通、就业和城市发展的政治决策者。该平台将西欧在伦敦和兰德斯塔德开发的不平等指标和预测未来土地使用和交通的工作与深圳和广州的相关工作结合在一起，产生一个系统，将使用最先进的模拟模型、来自常规交通的大数据，以及利用信息技术进行参与式治理的新方法。我们认为，这样的平台对于非常大的城市来说是必不可少的，这些城市在性质上与小城市不同。这里开发的平台将是世界上第一个。21世纪将由非常大的城市群主导，与我们当代分析理解和治理模式能够处理的那些大城市有质的不同。这些特大城市区域的发展受到现有城市融合以及大陆规模快速迁移的严重影响。这种增长正在产生严重的社会隔离、连通性、流动性和收入不平等问题，这些问题需要新的、强大的分析理解方法，例如使用实时“大数据”来源和新信息技术开发的方法。我们建议以珠江三角洲“大湾区”特大城市区域为示范，开发预测和城市治理平台，从大伦敦和荷兰(兰德斯塔德)区域引入可持续发展指标和模拟模型，为城市数据和模拟平台的发展提供信息，该平台与设计和测试新交通方式和缓解湾区社会经济不平等的情景有关。我们相信，在本世纪余下的时间里，这些问题将成为特大城市地区的关键。该项目将：(1)将伦敦和兰德斯塔德已经开发的土地使用交通相互作用(LUTI)模型与大湾区正在进行的蜂窝发展和交通模型相结合，(2)开发衡量空间效率和公平性的新指标，(3)开发分析，为创新的政策分析和治理提供信息，以及(4)与整个区域的规划机构和政府合作展示这些工具。伦敦大学学院(UCL)的CASA(高级空间分析中心)将协调和领导该项目，七个合作伙伴组成的财团将基于伦敦伯克贝克大学(BBK)的地理信息系统小组，伦敦国王学院(KCL)的地理计算小组、阿姆斯特丹Vrije大学商业经济学院(VUA)、深圳大学(SZU)的地理信息学系和智慧城市研究所(SZU)、香港大学(HKU-SIRI)的深圳研究与创新研究所(HKU-SIRI)和中山大学(SYSU)的地理系。

项目成果

Inferring urban polycentricity from the variability in human mobility patterns

从人类流动模式的可变性推断城市多中心性

• DOI: 10.48550/arxiv.2212.03973
• 发表时间: 2022
• 作者: Cabrera-Arnau C

The Linear City: illustrating the logic of spatial equilibrium

线性城市：阐释空间平衡的逻辑

• DOI: 10.1007/s43762-022-00036-z
• 发表时间: 2022
• 期刊: Computational Urban Science
• 作者: Batty M

The temporal concentration of travel demand in an urban transport network

城市交通网络中出行需求的时间集中度

• DOI: 10.48550/arxiv.2310.02385
• 发表时间: 2023
• 作者: Cabrera-Arnau C

The shape of future cities: Three speculations

未来城市的形态：三种推测

• DOI: 10.1177/27541231221113945
• 发表时间: 2022
• 期刊: Transactions in Urban Data, Science, and Technology
• 作者: Batty M

Inferring urban polycentricity from the variability in human mobility patterns.

从人类流动模式的可变性推断城市多中心性。

• DOI: 10.1038/s41598-023-33003-7
• 发表时间: 2023-04-07
• 期刊: SCIENTIFIC REPORTS
• 影响因子: 4.6
• 作者: Cabrera-Arnau, Carmen;Zhong, Chen;Batty, Michael;Silva, Ricardo;Kang, Soong Moon
• 通讯作者: Kang, Soong Moon