skip to main content
Guest
e-Shelf
My Account
Sign out
Sign in
This feature requires javascript
Tags
e-Journals
e-Books
Databases
USP Libraries
Help
Help
Language:
English
Spanish
Portuguese (Brazil)
This feature required javascript
This feature requires javascript
Primo Search
General Search
General Search
Physical Collection
Physical Collections
USP Intelectual Production
USP Production
Search For:
Clear Search Box
Search in:
General Search
Or hit Enter to replace search target
Or select another collection:
Search in:
General Search
Advanced Search
Browse Search
This feature requires javascript
This feature requires javascript
The influence of urban form on GHG emissions in the U.S. household sector
Lee, Sungwon ; Lee, Bumsoo
Energy policy, 2014-05, Vol.68, p.534-549
[Peer Reviewed Journal]
Kidlington: Elsevier Ltd
Full text available
Citations
Cited by
View Online
Details
Reviews & Tags
More
Times Cited
This feature requires javascript
Actions
Add to e-Shelf
Remove from e-Shelf
E-mail
Print
Permalink
Citation
EasyBib
EndNote
RefWorks
Delicious
Export RIS
Export BibTeX
This feature requires javascript
Title:
The influence of urban form on GHG emissions in the U.S. household sector
Author:
Lee, Sungwon
;
Lee, Bumsoo
Subjects:
Air pollution
;
Air pollution caused by fuel industries
;
Applied sciences
;
Buildings. Public works
;
Carbon emissions
;
Climate
;
Economic data
;
Emissions control
;
Energy
;
Energy consumption
;
Energy economics
;
Energy utilization
;
Energy. Thermal use of fuels
;
Exact sciences and technology
;
General, economic and professional studies
;
General. Regulations. Norms. Economy
;
Greenhouse effect
;
Greenhouse gas emissions
;
Greenhouse gases
;
Household sector
;
Households
;
Metering. Control
;
Pollution control
;
Population
;
Population density
;
Smart growth
;
Social policy
;
Studies
;
Sustainable development
;
Travel
;
U.S.A
;
Urban areas
;
Urban development
;
Urban form
Is Part Of:
Energy policy, 2014-05, Vol.68, p.534-549
Notes:
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ObjectType-Article-2
ObjectType-Feature-1
Description:
To better understand the role of sustainable urban development in greenhouse gas (GHG) mitigation, this study examines the paths by which urban form influences an individual household׳s carbon dioxide emissions in the 125 largest urbanized areas in the U.S. Our multilevel SEM analyses show that doubling population-weighted density is associated with a reduction in CO2 emissions from household travel and residential energy consumption by 48% and 35%, respectively. Centralized population and polycentric structures have only a moderate impact in our analyses. Given that household travel and residential energy use account for 42% of total U.S. carbon dioxide emissions, these findings highlight the importance of smart growth policies to build more compact and transit friendly cities as a crucial part of any strategic efforts to mitigate GHG emissions and to stabilize climate. •We examine how urban form influences household CO2 emissions using a multilevel SEM.•Doubling population-weighted density is associated with a 48% reduction in CO2 emissions from household travel.•Doubling population-weighted density is associated with a 35% reduction in CO2 emissions from residential energy use.•Doubling per capita transit subsidy is associated with a 46% lower VMT and 18% reduction in transportation CO2 emissions.•Smart growth policies should be a crucial part of any strategic efforts to mitigate GHG emissions and stabilize climate.
Publisher:
Kidlington: Elsevier Ltd
Language:
English
Links
View record in Pascal Francis
This feature requires javascript
This feature requires javascript
Back to results list
Previous
Result
7
Next
This feature requires javascript
This feature requires javascript
Searching Remote Databases, Please Wait
Searching for
in
scope:(USP_VIDEOS),scope:("PRIMO"),scope:(USP_FISICO),scope:(USP_EREVISTAS),scope:(USP),scope:(USP_EBOOKS),scope:(USP_PRODUCAO),primo_central_multiple_fe
Show me what you have so far
This feature requires javascript
This feature requires javascript