Quantifying and managing the network impacts of transport sharing services

该项目旨在解决在多式联运网络中有效模拟多种交通共享服务（例如，拼车和停车共享）的挑战，并有效地运营这些服务，并激励人们使用它们。该项目希望通过开发一种创新方法，系统地再现和优化共享服务对出行选择、共享供需匹配模式、运动轨迹特征和交通动态的网络影响，从而产生共享交通方面的新知识。预期结果包括新的模型和战略，以改善对交通规划者和运营商的决策支持。这将为人类的流动性和城市的可持续性提供显著的好处。

This project aims to address the challenge of effectively modelling multiple transport sharing services (e.g., ridesharing and parking sharing) in a multimodal network, and efficiently operating these services, and incentivising people to use them. The project expects to generate new knowledge in shared transport by developing an innovative approach to systematically reproducing and optimising network impacts of sharing services on travel choices, sharing demand-supply matching patterns, movement trajectory features and traffic dynamics. Expected outcomes include new models and strategies to improve decision support for transport planners and operators. This should provide significant benefits for human mobility and city sustainability.