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The interaction between land use and transportation has long been the central issue in urban and regional planning. Models of such interactions provide vital information to support many public policy decisions,...
Oregon Department of Transportation’s (ODOT) Transportation Planning and Analysis Unit (TPAU) developed a land use modeling tool called the “Land Use Scenario Developer in R” (LUSDR). LUSDR is a modeling...
There is an urgent need for improved models that address the interdependencies between land use and transportation, and considerable new work is underway to develop such models in Oregon and elsewhere. These...
Throughout the United States, metropolitan regions face increasingly complex issues related to transportation and land use. The diffuse nature of decision making creates a need to better coordinate land use and...
Land use mix is a central smart growth principle connected to active transportation. This presentation describes the indicators of local land use mixing and their association with pedestrian travel in...
While it’s accepted that mixed-use development promotes active travel, researchers don’t have a consensus on exactly how land use determines people’s travel patterns.
This analysis examined the historical relationship between land use changes and the location of capacity increasing highway projects in the State of Oregon from 1970 to 1990. Aerial photography for 18 cities...
This paper presents a methodology to assess the induced land use effects of state highway improvements on urban development patterns. The methodology is applied to the case study City of Hillsboro, Oregon and...
Travel demand models commonly lack the ability to understand how changing residential preferences influence future housing, land use, and transportation policies. As communities struggle to address social...
This research aims to fill gaps in existing multi-modal performance measures for transportation and land use systems: As a supplement/replacement of traffic-centric measures such as LOS, travel delay; Recent...