A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A methodology to develop a geospatial transportation typology
Abstract 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.
Highlights First geospatial typology of drivers of transportation demand and supply Two-stage clustering of local/regional street network, land use, economy, terrain Results enable analysis of transportation investment strategies in each geotype Resulting clusters enable meso-scale transportation modeling
A methodology to develop a geospatial transportation typology
Abstract 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.
Highlights First geospatial typology of drivers of transportation demand and supply Two-stage clustering of local/regional street network, land use, economy, terrain Results enable analysis of transportation investment strategies in each geotype Resulting clusters enable meso-scale transportation modeling
A methodology to develop a geospatial transportation typology
Popovich, Natalie (author) / Spurlock, C. Anna (author) / Needell, Zachary (author) / Jin, Ling (author) / Wenzel, Tom (author) / Sheppard, Colin (author) / Asudegi, Mona (author)
2021-04-14
Article (Journal)
Electronic Resource
English
Access to Intercity Public Transportation Services from Small Communities: Geospatial Analysis
| British Library Online Contents | 1999
Geospatial Distribution of Metal Elements in Transportation Land Use Surficial Soils
| British Library Online Contents | 2002