Predicting Transportation Outcomes for LEED Projects

The article first estimates models of mode choice and average trip length for 239 diverse mixed-use developments in six diverse regions. It then applies these models to twelve Leadership in Energy and Environmental Design for Neighborhood Development (LEED-ND) pilot projects to predict approximate v...

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Vydané v:Journal of planning education and research Ročník 33; číslo 3; s. 265 - 279
Hlavní autori: Ewing, Reid, Greenwald, Michael J., Zhang, Ming, Bogaerts, Meghan, Greene, William
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Los Angeles, CA SAGE Publications 01.09.2013
Sage Publications Ltd
Predmet:
Approximation
Averages
Education
Energy development
Environmental design
Households
Leadership
Mathematical models
Mixed use developments
Neighborhoods
Pilot projects
Pilots
Regional
Regions
Surveys
Sustainable design
Sustainable development
Transportation
Travel
Vehicles
sustainable development
mixed-use developments
LEED
vehicle miles traveled
ISSN:0739-456X, 1552-6577
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Abstract The article first estimates models of mode choice and average trip length for 239 diverse mixed-use developments in six diverse regions. It then applies these models to twelve Leadership in Energy and Environmental Design for Neighborhood Development (LEED-ND) pilot projects to predict approximate vehicle miles of travel (VMT) per person trip. Finally, it compares LEED-ND values to regional average values from the National Household Travel Survey. The VMT per person trip, for LEED-ND projects, ranges from 24 to 60 percent of the respective regional averages. The most urban and centrally located projects tended to achieve the highest alternative mode shares and the lowest private vehicle trip lengths.
AbstractList The article first estimates models of mode choice and average trip length for 239 diverse mixed-use developments in six diverse regions. It then applies these models to twelve Leadership in Energy and Environmental Design for Neighborhood Development (LEED-ND) pilot projects to predict approximate vehicle miles of travel (VMT) per person trip. Finally, it compares LEED-ND values to regional average values from the National Household Travel Survey. The VMT per person trip, for LEED-ND projects, ranges from 24 to 60 percent of the respective regional averages. The most urban and centrally located projects tended to achieve the highest alternative mode shares and the lowest private vehicle trip lengths.
The article first estimates models of mode choice and average trip length for 239 diverse mixed-use developments in six diverse regions. It then applies these models to twelve Leadership in Energy and Environmental Design for Neighborhood Development (LEED-ND) pilot projects to predict approximate vehicle miles of travel (VMT) per person trip. Finally, it compares LEED-ND values to regional average values from the National Household Travel Survey. The VMT per person trip, for LEED-ND projects, ranges from 24 to 60 percent of the respective regional averages. The most urban and centrally located projects tended to achieve the highest alternative mode shares and the lowest private vehicle trip lengths. [Reprinted by permission of Sage Publications Inc., copyright Association of Collegiate Schools of Planning.]
The article first estimates models of mode choice and average trip length for 239 diverse mixed-use developments in six diverse regions. It then applies these models to twelve Leadership in Energy and Environmental Design for Neighborhood Development (LEED-ND) pilot projects to predict approximate vehicle miles of travel (VMT) per person trip. Finally, it compares LEED-ND values to regional average values from the National Household Travel Survey. The VMT per person trip, for LEED-ND projects, ranges from 24 to 60 percent of the respective regional averages. The most urban and centrally located projects tended to achieve the highest alternative mode shares and the lowest private vehicle trip lengths. [PUBLICATION ABSTRACT]
Author Greene, William
Ewing, Reid
Greenwald, Michael J.
Zhang, Ming
Bogaerts, Meghan
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  givenname: William
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Cites_doi 10.4135/9781849209366
10.3141/1780-11
10.1061/(ASCE)UP.1943-5444.0000068
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10.1016/S1361-9209(97)00009-6
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Keywords sustainable development
mixed-use developments
LEED
vehicle miles traveled
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SubjectTerms Approximation
Averages
Education
Energy development
Environmental design
Households
Leadership
Mathematical models
Mixed use developments
Neighborhoods
Pilot projects
Pilots
Regional
Regions
Surveys
Sustainable design
Sustainable development
Transportation
Travel
Vehicles
Title Predicting Transportation Outcomes for LEED Projects
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