Integrated land use and transportation models have evolved along a spectrum from simple sketch planning models to complex microsimulation models. While each has its niche, they are largely unable to balance the flexibility and realism of microsimulation and the speed and interactivity of simple models. The Regional Strategic Planning Model (RSPM) aims to fill this gap by taking a microsimulation approach while making other simplifications in order to model first-order effects quickly. It enables planners to consider the robustness of prospective policies in the face of future uncertainties by accepting a broad range of inputs and allowing rapid simulations of many scenarios. This paper introduces the RSPM and shows how new land use and multimodal transportation sensitivities have been incorporated through the conversion to the new VisionEval open-source framework. Land use and transportation interactions in the RSPM are reviewed, and the development of a new multimodal travel demand module with improved land use sensitivities is highlighted. The use of a unique nationwide dataset combining the 2009 NHTS, EPA’s Smart Location Database, and metropolitan transit and roadway data is explained. The paper concludes with the results of validation and sensitivity tests, and a discussion of future work.

中文翻译：

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捕获已建立的环境-旅行交互以进行战略规划：为区域战略规划模型（RSPM）开发多式联运模块

从简单的草图规划模型到复杂的微观模拟模型，综合的土地利用和运输模型已经沿整个范围发展。虽然每个人都有自己的位置，但他们在很大程度上无法平衡微观仿真的灵活性和现实性以及简单模型的速度和交互性。区域战略规划模型（RSPM）旨在通过采用微观模拟方法来填补这一空白，同时进行其他简化以快速建模一阶效应。通过接受广泛的输入并允许对许多方案进行快速模拟，它使计划制定者可以在未来不确定性的情况下考虑预期政策的稳健性。本文介绍了RSPM，并说明了如何通过转换为新的VisionEval开源框架来结合新的土地利用和多式联运敏感性。回顾了RSPM中的土地使用和运输互动，并着重介绍了开发新的多式联运需求模块，该模块提高了土地使用的敏感性。解释了结合2009年NHTS，EPA的智能位置数据库以及都市交通和道路数据的独特全国性数据集的使用。本文以验证和敏感性测试的结果作为结尾，并对未来的工作进行了讨论。解释了结合2009年NHTS，EPA的智能位置数据库以及都市交通和道路数据的独特全国性数据集的使用。本文以验证和敏感性测试的结果作为结尾，并对未来的工作进行了讨论。解释了结合2009年NHTS，EPA的智能位置数据库以及都市交通和道路数据的独特全国性数据集的使用。本文以验证和敏感性测试的结果作为结尾，并对未来的工作进行了讨论。