Alternative Approaches to Modeling the Travel-Demand Impacts of Smart Growth

302 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Travel and the Built Environment (2010, background): “…8 neighborhoods in northern CA D SUR SE/AT yes Cao, Xu, et al., 2009 Raleigh, NC D PSM SE/AT yes Cervero, 2002a Montgomery County, MD D LGR SE/LS no Cervero, 2006 225 light rail transit stations in 11 metropolitan areas A LNR ST/LS no Cervero, 2007 26 TODs in five CA regions D LGR SE/ LS/WP/AT yes…”
What determines rail transit passenger volume? Implications for Transit oriented development planning (2017, background): “Its key characteristics are mixed land use and high density in areas adjacent to public transportation (Cervero et al., 2002; Cervero, 2006).”
Interrelations between travel mode choice and trip distance: trends in Germany 1976-2002 (2010, background): “Time and again, transport researchers have highlighted a number of key attributes of the built environment likely to affect travel behaviour: density, land-use, and distance to the nearest centre (see overviews in Stead and Marshall, 2001; Cervero, 2006).”
Rail and Property Development in Hong Kong: Experiences and Extensions (2009, methodology): “The use of station observations and multiple regression to predict ridership as a function of station-area and regional attributes has been called ‘direct ridership’ modelling (Cervero, 2006).”