The Harrisonburg Department of Public Transportation (HDPT) aims to leverage their data to improve the efficiency and effectiveness of their operations. We construct two supply and demand models that help the department identify gaps in their service. The models take many variables into account, including the way that the HDPT reports to the federal government and the areas with the most vulnerable populations in Harrisonburg City. We employ data analysis and machine learning techniques to make our predictions.

翻译：哈里森堡公共交通部（HDPT）旨在利用其数据提升运营效率与效能。我们构建了两个供需模型，帮助该部门识别服务中的缺口。这些模型考虑了众多变量，包括HDPT向联邦政府报告的方式以及哈里森堡市内最脆弱人口聚集的区域。我们采用数据分析与机器学习技术进行预测。