We introduce a methodology to develop a geo-typology (geotype) that categorizes each location in the United States in terms of their main drivers of transportation demand and supply. We develop the first comprehensive set of geotypes for both urban and rural areas across the entire United States. This typology is designed to facilitate national level modeling of multi-modal transportation system's response to alternative investment strategies differentiated across different types of locations. We develop a two-stage clustering procedure to systematically and quantitatively characterize the ways in which locations across the nation are similar or different with respect to their potential response to investment strategies of interest. First, we cluster all 73,057 census tracts, using factor analysis and the CLARA clustering algorithm into “microtypes” based on their street network and economic characteristics. Then we cluster regions (core-basic statistical areas and counties) into “geotypes” using PAM clustering according to their commute configurations, polycentricity and density. The resulting set captures both local and regional variation. These microtypes and geotypes are comparable across all locations, enabling a national level perspective, while maintaining sufficient heterogeneity to support a variety of transportation analyses capturing critical geographic variation.

我们介绍一种开发地理学类型（方法）的方法，该方法根据美国交通运输的需求和供给的主要驱动因素对美国的每个位置进行分类。我们为整个美国的城市和乡村地区开发了第一套全面的地理类型。这种类型的设计旨在促进国家层面的多式联运系统对不同类型地点之间差异化的替代投资策略的响应。我们开发了一个两阶段的聚类程序，以系统地和定量地描述全国各地在对感兴趣的投资策略的潜在反应方面相似或不同的方式。首先，我们将所有73,057个人口普查区聚在一起，根据其街道网络和经济特征，使用因子分析和CLARA聚类算法将其分为“微型”。然后，我们根据其通勤配置，多中心性和密度，使用PAM聚类将区域（核心基础统计区域和县）聚类为“地型”。结果集捕获了本地和区域变化。这些微观类型和地理类型在所有位置都具有可比性，可以在国家层面进行观察，同时保持足够的异质性以支持各种捕获关键地理变化的运输分析。结果集捕获了本地和区域变化。这些微观类型和地理类型在所有位置都具有可比性，可以在国家层面进行观察，同时保持足够的异质性以支持各种捕获关键地理变化的运输分析。结果集捕获了本地和区域变化。这些微观类型和地理类型在所有位置都具有可比性，可以在国家层面进行观察，同时保持足够的异质性以支持各种捕获关键地理变化的运输分析。