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

决定-解码城市以进行明智的决策：缩小地区差距和提高城市宜居性的数字孪生方法该项目旨在开发和测试基于多域模型(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力求根据不同的流动模式、关键服务的可获得性水平和道路网复原力，促进对流动动态的解释和预测，从而促进提高城市宜居性和解决领土不平等问题。此外，它还培育了新颖的结构模型和空间框架，用于在战略和运营决策中表示城市-区域动态。研究的重点是影响城市宜居性的多个关键因素(例如，城市形态、道路流通网络结构、自然环境和影响优惠路线选择的个人特征)和领土弹性(例如，道路基础设施网络的脆弱性和城市-区域的地域差距)。DSS和MDM将整合城市-区域区域的功能方面(例如，经济活动、公共活动和生活区分布)和环境方面(例如，通过行人专用区、骑自行车和车队电气化减少二氧化碳)，以解释和预测它们与流通网络空间配置的关系。此外，MDM将用于解释城市和区域空间之间的一般等级关系(例如，15分钟和30分钟城市、空间不平等、城市系统联系)，并为减少灾害风险和减轻灾害规划提供信息。

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.