Computational Urban Science And Planning

计算城市科学与规划

• 批准号: CRC-2019-00273
• 负责人: Tran, Martino
• 金额: $ 8.74万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=730724
• 关键词: Computational; Urban; Science; Planning

Urban transport systems are facing unprecedented change requiring new computational approaches for planning and practice. With improved theoretical models grounded in data science and large-scale urban mobility data, this program will develop innovative evaluation frameworks, methods and tools to measure, predict and assess the environmental and socioeconomic impacts of new urban transport technology and alternative infrastructure investment strategies. This research will help cities and municipal governments advance the transition to more sustainable transport systems.

城市交通系统正面临着前所未有的变化，需要新的规划和实施计算方法。通过以数据科学和大规模城市交通数据为基础的改进的理论模型，该计划将开发创新的评估框架、方法和工具，以衡量、预测和评估新的城市交通技术和替代基础设施投资战略对环境和社会经济的影响。这项研究将帮助城市和市政府推进向更可持续的交通系统的过渡。