Improving transit representation in travel forecasting models

加拿大和北美的一项重大举措是在政府预算范围内为旅行者提供更好的公共交通。因此，有必要评估对运输基础设施的新投资和运输业务的变化对乘客吸引力(乘客量)和运营效率的影响。估计这些影响的一种方法是通过旅行预测模型。这些广泛使用的模型预测未来的出行模式和系统性能，假设所有出行者都选择成本最低的方式(例如乘坐公共汽车、有轨电车或私家车)到达目的地。

A major initiative throughout Canada and North America is to provide travelers with better public transportation within the limits of government budgets. As such, there is a need to evaluate the impacts of both new investments in transit infrastructure and changes in transit operations on passenger attraction (ridership) and operating efficiency. One method for estimating these impacts is via travel forecasting models. These widely-used models predict future travel patterns and system performance assuming all travelers choose the lowest cost means (for example by bus, streetcar, or private car) to arrive at their destination.