DECIDE: Decoding cities for informed decision-making: a digital twin approach for minoring territorial disparities and enhancing urban liveability

决策：解码城市以做出明智的决策：缩小地域差距和提高城市宜居性的数字孪生方法

• 批准号: EP/Y028716/1
• 负责人: Diego Altafini
• 金额: $ 25.55万
• 依托单位: CARDIFF UNIVERSITY
• 依托单位国家: 英国
• 项目类别: Fellowship
• 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=EP%2FY028716%2F1
• 关键词: DECIDE; Decoding; cities; informed; decision

DECIDE - Decoding cities for informed decision-making: a digital twin approach for minoring territorial disparities and enhancing urban liveability This project aims to develop and test a novel Decision Support System (DSS), based on the integration of Multi-Domain Models (MDMs), for a sustainable urban-regional planning and an informed decision-making. The DSS seeks to promote enhanced urban liveability and to address territorial inequalities by facilitating the interpretation and prediction of movement dynamics according to different mobility modes, accessibility levels of key services, and road network resilience. Plus, it fosters novel configurational models and spatial frameworks for representing of urban-regional dynamics in strategic and operational decision-making. The research focus is on the multiple key-factors which influence cities' liveability (e.g., urban form, road-circulation network configuration, natural environment, and personal characteristics influencing preferential routes choice) and territorial resilience (e.g., the fragility points in road infrastructure networks and the urban-regional territorial disparities). DSS' and MDMs will integrate urban-regional areas' functional aspects (e.g., economic activities', public activities', and living areas distribution) and environmental aspects (e.g., CO2 reduction via pedestrianisation, cycling, and fleet electrification) to interpret and forecast their relations with the circulation network spatial configuration. Furthermore, MDMs will be applied to interpret the general hierarchical relations between urban and regional spaces (e.g., 15-minute and 30-minute cities, spatial inequalities, city-systems linkages), and to inform disaster risk reduction and mitigation planning.

DECIDE -解码城市以实现明智的决策：缩小地域差异和提高城市宜居性的数字孪生方法本项目旨在开发和测试一种基于多领域模型（MDM）集成的新型决策支持系统（DSS），以实现可持续的城市区域规划和明智的决策。DSS旨在促进提高城市宜居性，并通过根据不同的移动模式、关键服务的可达性水平和道路网络弹性促进对移动动态的解释和预测，解决地区不平等问题。此外，它还促进了新的配置模型和空间框架，用于在战略和运营决策中代表城市-区域动态。研究重点是影响城市宜居性的多个关键因素（例如，城市形态、道路流通网络配置、自然环境和影响优先路线选择的个人特征）和地域弹性（例如，道路基础设施网络的脆弱点和城市-区域领土差异）。DSS和MDM将整合城市区域的功能方面（例如，经济活动、公共活动和生活区域分布）和环境方面（例如，二氧化碳减排通过循环化，骑自行车，和车队电气化），以解释和预测其与流通网络的空间配置的关系。此外，MDM将被应用于解释城市和区域空间之间的一般层次关系（例如，15-城市的发展、空间不平等、城市系统之间的联系），并为减少和减轻灾害风险规划提供信息。