The 3Ds + R: Quantifying Land Use and Urban Form Correlates of Walking

By Chanam Lee, Anne V. Moudon. 2006

448 citations recorded by the source corpus.

Subfields: Speech and Hearing, Transportation

View Paper: https://www.semanticscholar.org/paper/a50187f3f6885c3ea700cecdd7a49ac8b5f33213

How researchers see this paper

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

In Speech and Hearing

1. Raktim Mitra
2. Matthew J. Roorda
3. Noreen McDonald
4. R. Ewing
5. R. Buliung

In Transportation

1. Raktim Mitra
2. S. Handy
3. R. Ewing
4. Robert Cervero
5. Xinyu Cao
6. Brian Saelens
7. R. Buliung
8. Noreen McDonald

Citations in the corpus

• Independent Mobility and Mode Choice for School Transportation: A Review and Framework for Future Research (2013, background): “Using this normative framework, Lee and Moudon (2006) later suggested that the characteristics at the destination, distance, density and travel route (i.e. the 3D + R) likely influence the choice of an active mode for travelling between destinations.”
• The Built Environment and Social Capital: A Systematic Review (2018, result): “While this is generally supported by the existing literature (Duncan et al., 2011; Lee & Moudon, 2006), a rigorous meta-analysis identified intersection density as the strongest predictor of walking (Ewing & Cervero, 2010) among many built environment parameters.”
• Built Environment and School Travel Mode Choice in Toronto, Canada (2010, methodology): “Following Lee and Moudon (35), the variables were filtered by using a twostage screening process before multivariate logit estimation.”
• The Walkability Premium in Commercial Real Estate Investments (2011, unknown): “If walkability improves profits and returns, we could expect the private sector to produce more walkable places, so long as land use controls permit it (Levine 2006).”
• Built Environment Correlates of Walking: A Review (2008, background): “This is particularly evident with objective measures at the micro-level scale, that is objectively operationalizing the built environment around an individual respondent’s residence [23,42,43,46] rather than at a larger scale (e.”
• Household interactions and children’s school travel: the effect of parental work patterns on walking and biking to school (2008, background): “This confirms findings in adult travel that density has a modestly positive association with the amount of walking (Cervero and Kockelman, 1997; Ewing and Cervero, 2001; Lee and Moudon, 2006).”
• Meso- or micro-scale? Environmental factors influencing pedestrian satisfaction (2014, background): “While research focused on recreational walking yielded inconsistent results (Owen et al., 2004), some studies revealed the effect of accessible destinations (Giles-Corti et al., 2005), and hilliness (Lee and Moudon, 2006b), on recreational walking.”
• Travel and the Built Environment (2010, background): “For the same reason, we excluded several excellent studies whose independent variables, although initially continuous, had been converted to categorical variables to simplify the interpretation of results (eg, Lee & Moudon, 2006b ; McGinn et al, 2007 ; Oakes, Forsyth, & Schmitz, 2007 ).”