Do mixed-use developments optimize VMT and emissions reduction? Evidence from 36 regions

•MXDs generate about one-third less VMT than conventional developments of comparable size.•Longitudinal data shows that MXDs generate about 50% fewer vehicle trips over time.•Internal capture is a strong predictor of VMT and must be accounted for in trip generation models.•Even amongst MXDs, people...

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Published in:Transportation research. Part D, Transport and environment Vol. 147; p. 104944
Main Authors: Tuffour, Justice P., Ewing, Reid, Brewer, Simon, Tian, Guang
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.10.2025
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ISSN:1361-9209
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Abstract •MXDs generate about one-third less VMT than conventional developments of comparable size.•Longitudinal data shows that MXDs generate about 50% fewer vehicle trips over time.•Internal capture is a strong predictor of VMT and must be accounted for in trip generation models.•Even amongst MXDs, people walk more in those with rich built-environment characteristics.•MXDs in more compact regions generate about six times (6x) lower GHG emissions per trip. Mixed-use developments (MXDs) have dovetailed nicely as a development design strategy to lower VMT by concentrating diverse activities within walkable compact environments. Despite their conceptual appeal, estimating their actual impacts on vehicle trips and environmental quality remains both limited and challenging for agencies and local governments due to inconsistencies in existing traffic impact methodologies, which fail to account for regional variability. This study addresses these limitations by using advanced Gaussian multi-level regression models and K-fold cross-validation, incorporating the famous 7-D built environment variables to estimate comparative VMT and GHG emissions across 710 MXDs in 36 U.S. regions. We find that MXDs generate about one-third less VMT than conventional developments, with up to an 80% reduction in certain regions. Over time, MXDs generate even fewer vehicle trips (about 50% less) and significantly lower CO2e, suggesting positive impacts on lessening both traffic congestion and climate pollution in cities. Our study refines the methodology for estimating development-generated VMT while providing insights for shaping low-emission communities that align with modern sustainability goals.
AbstractList •MXDs generate about one-third less VMT than conventional developments of comparable size.•Longitudinal data shows that MXDs generate about 50% fewer vehicle trips over time.•Internal capture is a strong predictor of VMT and must be accounted for in trip generation models.•Even amongst MXDs, people walk more in those with rich built-environment characteristics.•MXDs in more compact regions generate about six times (6x) lower GHG emissions per trip. Mixed-use developments (MXDs) have dovetailed nicely as a development design strategy to lower VMT by concentrating diverse activities within walkable compact environments. Despite their conceptual appeal, estimating their actual impacts on vehicle trips and environmental quality remains both limited and challenging for agencies and local governments due to inconsistencies in existing traffic impact methodologies, which fail to account for regional variability. This study addresses these limitations by using advanced Gaussian multi-level regression models and K-fold cross-validation, incorporating the famous 7-D built environment variables to estimate comparative VMT and GHG emissions across 710 MXDs in 36 U.S. regions. We find that MXDs generate about one-third less VMT than conventional developments, with up to an 80% reduction in certain regions. Over time, MXDs generate even fewer vehicle trips (about 50% less) and significantly lower CO2e, suggesting positive impacts on lessening both traffic congestion and climate pollution in cities. Our study refines the methodology for estimating development-generated VMT while providing insights for shaping low-emission communities that align with modern sustainability goals.
ArticleNumber 104944
Author Ewing, Reid
Tian, Guang
Brewer, Simon
Tuffour, Justice P.
Author_xml – sequence: 1
  givenname: Justice P.
  orcidid: 0000-0001-8672-6854
  surname: Tuffour
  fullname: Tuffour, Justice P.
  email: justice.tuffour@utah.edu
  organization: Department of City and Metropolitan Planning. College of Architecture and Planning, The University of Utah, 375 S 1530 E, Salt Lake City, UT 84112, USA
– sequence: 2
  givenname: Reid
  surname: Ewing
  fullname: Ewing, Reid
  email: ewing@arch.utah.edu
  organization: Department of City and Metropolitan Planning. College of Architecture and Planning, The University of Utah, 375 S 1530 E, Salt Lake City, UT 84112, USA
– sequence: 3
  givenname: Simon
  surname: Brewer
  fullname: Brewer, Simon
  email: simon.brewer@geog.utah.edu
  organization: Department of Geography, The University of Utah, 260 Central Campus Drive, Room 4845, Salt Lake City, UT 84112, USA
– sequence: 4
  givenname: Guang
  orcidid: 0000-0002-4023-3912
  surname: Tian
  fullname: Tian, Guang
  email: guang.tian@utah.edu
  organization: Department of City and Metropolitan Planning, Scientific Computing and Imaging Institute – The University of Utah, Warnock Engineering Building (WEB) Room 4646, 72 South Central Campus Drive, Salt Lake City, Utah 84112, USA
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Keywords Built Environment
Multi-Level Regression
Vehicle Miles Traveled (VMT)
Greenhouse Gas (GHG) Emissions
Mixed Use Developments (MXD)
Language English
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Snippet •MXDs generate about one-third less VMT than conventional developments of comparable size.•Longitudinal data shows that MXDs generate about 50% fewer vehicle...
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SubjectTerms Built Environment
Greenhouse Gas (GHG) Emissions
Mixed Use Developments (MXD)
Multi-Level Regression
Vehicle Miles Traveled (VMT)
Title Do mixed-use developments optimize VMT and emissions reduction? Evidence from 36 regions
URI https://dx.doi.org/10.1016/j.trd.2025.104944
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