Sustainability has become a universal goal stated by communities and public
agencies in visioning their future. However, when it comes to implementing sustainability,
stakeholders often confront all sorts of barriers, ranging from different metrics of
performance measures to competing local or agency-specific interests. This professional
report (PR) introduces a tool developed through the Sustainable Places Project (SPP) for
the Austin, TX region for collective visioning and practicing of sustainable development.
SPP received a grant support from the federal program "the Partnership for Sustainable
Communities", which was initiated jointly by the US Department of Housing and Urban
Development, Department of Transportation, and Environmental Protection Agency in
2009. Under SPP, the Capital Area Texas Sustainability (CATS) Consortium was formed.
"Envision Tomorrow plus for Austin"(ET+Austin) is developed as both an analytical tool
and a platform for public dialogue among CATS partners.
The PR focuses on the development of transportation modules within ET+Austin. It
VI
first introduces the local setting in which SPP originated. Following the introduction, the
PR describes a general policy context concerning sustainability and sustainable
transportation. Next, it provides a review of the empirical and analytical context in which
the transportation modules of ET+Austin are structured and built. The basis that
transportation indicators are selected and grouped is presented in the subsequent section.
The implementation of ET+Austin Transportation is illustrated through scenario analyses
for four SPP demo sites from four communities in the region; they are Hutto, Elgin,
Dripping Spring and Lorkhart. The PR ends with a brief summary and discussion of
directions for tool improvements. / text
| Identifer | oai:union.ndltd.org:UTEXAS/oai:repositories.lib.utexas.edu:2152/23998 |
| Date | 14 April 2014 |
| Creators | Zhang, Qianying |
| Source Sets | University of Texas |
| Detected Language | English |
| Type | Thesis |
| Format | application/pdf |
Page generated in 0.0018 seconds