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Title: Context-Sensitive Solutions: Training Experience
Accession Number: 01003385
Record Type: Component
Record URL: Availability: Transportation Research Board Business Office 500 Fifth Street, NW Find a library where document is available Abstract: Context-sensitive solutions (CSS) is a comprehensive approach to transportation decision making that embraces the philosophy that transportation programs and projects should address the transportation need, be an asset to the community, and be compatible with the human and natural environment. The CSS movement is rooted in years of controversy stemming from the dissatisfaction of concerned citizens, environmentalists, historic preservationists, multimodal advocates, and others in the transportation decision-making process. In 2002 the North Carolina Department of Transportation (NCDOT) signed an Environmental Stewardship Policy that proclaimed, “Our goal is to provide a safe and well-maintained transportation system that meets the needs of customers and supports the development of sustainable, vibrant communities.” NCDOT viewed the CSS approach as a critical element in institutionalizing its stewardship policy and developed the CSS course to encompass the goals of the stewardship policy. To date, more than 1,000 transportation professionals in North Carolina have been trained in CSS. This paper provides insight into the course development process, including course content, participants’ experiences, and recommendations for agencies interested in developing an effective CSS course.
Monograph Title: Monograph Accession #: 01003374
Language: English
Authors: Townsend, TeresaLane, LeighMartin, JamesPagination: pp 67-74
Publication Date: 2005
ISBN: 0309093767
Media Type: Print
Features: Figures
(4)
; Photos
(4)
; References
(8)
; Tables
(2)
TRT Terms: Uncontrolled Terms: Geographic Terms: Subject Areas: Design; Education and Training; Highways; Planning and Forecasting; Policy; I21: Planning of Transport Infrastructure
Files: TRIS, TRB, ATRI
Created Date: Aug 25 2005 3:27PM
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