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...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
Sage Publications
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/53088 |
| _version_ | 1848759062977576960 |
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| author | Ewing, R. Greenwald, M. Zhang, M. Bogaerts, M. Greene, William |
| author_facet | Ewing, R. Greenwald, M. Zhang, M. Bogaerts, M. Greene, William |
| author_sort | Ewing, R. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T09:53:55Z |
| format | Journal Article |
| id | curtin-20.500.11937-53088 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:53:55Z |
| publishDate | 2013 |
| publisher | Sage Publications |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-530882017-10-12T06:33:16Z Predicting Transportation Outcomes for LEED Projects Ewing, R. Greenwald, M. Zhang, M. Bogaerts, M. Greene, William 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. 2013 Journal Article http://hdl.handle.net/20.500.11937/53088 10.1177/0739456X13482978 Sage Publications restricted |
| spellingShingle | Ewing, R. Greenwald, M. Zhang, M. Bogaerts, M. Greene, William Predicting Transportation Outcomes for LEED Projects |
| title | Predicting Transportation Outcomes for LEED Projects |
| title_full | Predicting Transportation Outcomes for LEED Projects |
| title_fullStr | Predicting Transportation Outcomes for LEED Projects |
| title_full_unstemmed | Predicting Transportation Outcomes for LEED Projects |
| title_short | Predicting Transportation Outcomes for LEED Projects |
| title_sort | predicting transportation outcomes for leed projects |
| url | http://hdl.handle.net/20.500.11937/53088 |