Intersecting Residential and Transportation CO2 Emissions: Metropolitan Climate Change Programs in the Age of Trump
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190530 JPER Intersecting Residential and Transportation Energy Consumption Text.pdf
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1.21 MB
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Author(s) • •
Landis, John D.
Hsu, Yuin-Jen David
Guerra, Erick
Date Issued
September 2017
Journal
Journal of Planning Education and Research
Publisher
SAGE Publications
Citation
Landis, John D. et al. "Intersecting Residential and Transportation CO2 Emissions: Metropolitan Climate Change Programs in the Age of Trump." Journal of Planning Education and Research 39, 2 (June 2019): 206–
226. © 2017 The Author(s)
Version
Author's final manuscript
Abstract
This article uses a series of fixed-ratio projections and scenarios to explore the potential for local residential energy conservation mandates and compact growth programs to reduce locally based CO₂ emissions in eleven representative US metropolitan areas. Averaged across all eleven metros, residential energy conservation mandates could reduce residential CO₂ emissions in 2030 by an average of 30 percent over and above 2010 levels. In terms of implementation, residential conservation standards were found to be goal-effective, cost-effective, scale-effective, and in the case of new construction standards, reasonably resistant to local political pushback. Local compact growth programs do not perform as well. If accompanied by aggressive efforts to get drivers out of their cars, compact growth programs could reduce auto-based 2030 CO₂ emissions by as much as 25 percent over and above any emissions reductions attributable to higher fuel economy standards. Unaccompanied by modal diversion programs, the stand-alone potential for local compact growth programs to reduce auto-based CO₂ emissions falls into a more modest range of 0 to 7 percent depending on the metropolitan area. Based on past performance, local compact growth programs are also likely to have problems in terms of their goal- and scale-efficiency, and their potential to incur political pushback.
MIT Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1177/0739456x17729438