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| Srl | Item |
| 1 |
ID:
150883
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| Summary/Abstract |
Cities play a vital role in the global climate change mitigation agenda. City population density is one of the key factors that influence urban energy consumption and the subsequent GHG emissions. However, previous research on the relationship between population density and GHG emissions led to contradictory results due to urban/rural definition conundrum and the varying methodologies for estimating GHG emissions. This work addresses these ambiguities by employing the City Clustering Algorithm (CCA) and utilizing the gridded CO2 emissions data. Our results, derived from the analysis of all inhabited areas in the US, show a sub-linear relationship between population density and the total emissions (i.e. the sum of on-road and building emissions) on a per capita basis. Accordingly, we find that doubling the population density would entail a reduction in the total CO2 emissions in buildings and on-road sectors typically by at least 42%. Moreover, we find that population density exerts a higher influence on on-road emissions than buildings emissions. From an energy consumption point of view, our results suggest that on-going urban sprawl will lead to an increase in on-road energy consumption in cities and therefore stresses the importance of developing adequate local policy measures to limit urban sprawl.
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| 2 |
ID:
142514
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| Summary/Abstract |
Many scholars agree that there is no clear consensus regarding what “urban sprawl” is or what causes it. The term “sprawl” can be used or defined a number of ways for many situations. When its definition is ambiguous, it is impossible to determine its causes or consequences, including the effects of any policies designed to contain it. In this paper, first, we provide a conceptual definition of urban sprawl based on different dimensions such as density, concentration, proximity to services, automobile dependency, and extent of vegetation cover being paddy, eco-sensitive, or with decreased plantation areas. Such a definition provides a basis for understanding urban sprawl, its nature and its characteristics being location and context specific. Second, an “extended urban area” is demarcated as the geographical base for the study of the urban sprawl. Each dimension is defined and tested in 25 urbanized and suburbanized areas in the Colombo Metropolitan.
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| 3 |
ID:
099241
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| Publication |
2010.
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| Summary/Abstract |
Residential energy consumption accounts for 22% of the total energy consumption in the US. However, the impacts of local planning policies, such as increasing density and changing the housing type mix, on residential energy consumption are not well understood. Using Residential Energy Consumption Survey Data from the Energy Information Administration, quantile regression analysis was used to tease out the effects of various factors on entire distribution on the energy consumption spectrum instead of focusing on the conditional average. Results show that while housing size matters for space conditioning, housing type has a more nuanced impact. Self-reported neighborhood density does not seem to have any impact on energy use. Furthermore, the effects of these factors at the tails of the energy use distribution are substantially different than the average, in some cases differing by a factor of six. Some, not all, types of multifamily housing offer almost as much savings as reduction in housing area by 100 m2, compared to single family houses.
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