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Title: Envisioning Efficiency: How Scenario Planning Can Lead to More Cost-Effective Transportation Investments
Accession Number: 01373282
Record Type: Component
Abstract: Planners and academics have, for much of the past half century, studied development patterns to assess whether certain patterns are more costly than others for providing public infrastructure and services. A robust literature demonstrates that compact development can help reduce public expenditures for a host of public services and facilities. Armed with this understanding, planners in U.S. metropolitan areas have in recent years been using iterative scenario planning techniques to identify which future growth options might result in more efficient use of public funds. This paper traces the “costs of sprawl” and scenario planning literatures as they relate to transportation infrastructure costs and provides an analysis of 187 scenarios developed by U.S. metropolitan planning organizations (MPOs) since 2000. Using case study and meta-analytical techniques, this paper shows show that compact development patterns are less costly per person for road infrastructure than more dispersed patterns and that scenario planning is a valuable method for understanding these relationships.
Supplemental Notes: This paper was sponsored by TRB committee ADA20 Metropolitan Policy, Planning, and Processes
Monograph Title: Monograph Accession #: 01362476
Report/Paper Numbers: 12-3924
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Bartholomew, KeithNelson, Arthur CMeakins, GailPagination: 18p
Publication Date: 2012
Conference:
Transportation Research Board 91st Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Subject Areas: Finance; Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2012 Paper #12-3924
Files: TRIS, TRB
Created Date: Feb 8 2012 5:20PM
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