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，与负责世界最大特大城市地区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相关。该平台整合了西欧在伦敦和兰斯达开展的不平等指标和预测未来土地利用和交通的工作，以及深圳和广州的相关工作，形成了一个系统，该系统将使用最先进的模拟模型、日常交通的大数据，以及利用信息技术进行参与式治理的新方法。我们认为，这样一个平台对于那些与小城市有着本质区别的超大城市来说是必不可少的。这里开发的平台将是世界上第一个。21世纪将以超大型城市群为主导，它们与我们当代的分析理解和治理模式所能处理的那些大城市有本质上的不同。这些特大城市地区的增长在很大程度上受到现有城市融合以及快速的大陆规模移民的影响。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”特大城市地区为示范开发预测和城市治理平台，将大伦敦和荷兰城市（Randstad）地区的可持续性指标和模拟模型引入其中，为城市数据和模拟平台的开发提供相关信息，以设计和测试新交通模式的场景，并缓解湾区的社会经济不平等。我们认为，这些问题将是本世纪剩余时间里特大城市地区的关键问题。该项目将：(1)将伦敦和任斯达地区已经开发的土地利用交通互动（LUTI）模型与大湾区正在进行的细胞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)开发分析方法，为创新的政策分析和治理提供信息；(4)与整个地区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，由七个合作伙伴组成的联盟将基于伦敦伯克贝克大学（BBK）的GIS小组、伦敦国王学院（KCL）的地理计算小组、商业与经济学院、阿姆斯特丹自由大学（VUA）、深圳大学（SZU）的测绘系和智能城市研究所。香港大学深圳研究与创新研究院（HKU-SIRI），以及中山大学地理系。

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