2013
DOI: 10.3141/2375-08
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Is Smart Growth Associated with Reductions in Carbon Dioxide Emissions?

Abstract: The transportation sector is the second largest contributor to human-generated carbon dioxide (CO2) emissions. A key goal of the U.S. Department of Transportation is to implement environmentally sustainable policies that can reduce carbon emissions from transportation sources. Smart growth—characterized by compact, mixed use; greater network connectivity; and environments friendly to alternative modes—may encourage reductions in vehicle travel and emissions. A better understanding of travel behavior in convent… Show more

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Cited by 13 publications
(6 citation statements)
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References 15 publications
(15 reference statements)
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“…As a diversity indicator, land use entropy index at residence is negatively correlated with CEC in Figure 6A . This negative relationship is consistent with the previous literature ( 49 , 50 ). However, the land-use diversity at the workplace also has a non-linear effect on CEC, and 0.…”
Section: Resultssupporting
confidence: 93%
“…As a diversity indicator, land use entropy index at residence is negatively correlated with CEC in Figure 6A . This negative relationship is consistent with the previous literature ( 49 , 50 ). However, the land-use diversity at the workplace also has a non-linear effect on CEC, and 0.…”
Section: Resultssupporting
confidence: 93%
“…Therefore, we believe that the aim of reducing taxis’ pollutant emissions cannot be achieved by simply pursuing an increase in land-use mixture. This negative relationship is consistent with many studies, such as from Wang [ 56 ]. However, the threshold of HHI in our study is different from the threshold (from 0.4 to 0.7) of HHI in the study by Wu et al [ 19 ].…”
Section: Resultssupporting
confidence: 93%
“…Regarding travel behavior, most of the literature examines the impact of "5D" built environment elements (density, diversity, design, destination accessibility, and transit proximity) [35,36]. According to the literature, built environment factors, such as residential and job density [37,38], land use mix [39], intersection density [39], and public transportation accessibility [38], are all negatively correlated with energy consumption and carbon emissions. Research from Zahabi et al [40] in Montreal, Canada, showed that a 10% increase in residential density, land-use mix, and transport accessibility leads to 3.5%, 2.5%, and 5.8% reductions in GHG emissions from household transport, respectively.…”
Section: Built Environment and Travel Carbon Emissionsmentioning
confidence: 99%