Computational Urban Science and Planning

城市交通系统正面临着前所未有的变化，需要新的计算 规划和实践的方法。通过改进基于数据科学和大规模城市交通数据的理论模型，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的环境和社会经济影响。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。

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.