Improving transit representation in travel forecasting models

改善出行预测模型中的交通代表性

• 批准号: 313211-2007
• 负责人: Casello, Jeffrey
• 金额: $ 1.27万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=481394
• 关键词: Improving; transit; representation; travel; forecasting

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.

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，有必要评估过境基础设施的新投资和过境业务的变化对吸引乘客（乘客量）和业务效率的影响。 估计这些影响的一种方法是通过旅行预测模型。 这些被广泛使用的模型预测未来的出行模式和系统性能，假设所有的旅行者都选择最低成本的方式（例如乘坐公共汽车、有轨电车或私家车）到达目的地。