City density and CO2 efficiency

Gudipudi, Ramana; Fluschnik, Till; Ros, Anselmo García Cantú; Walther, Carsten; Kropp, Jürgen P.

doi:10.1016/j.enpol.2016.01.015

Cited by 95 publications

(54 citation statements)

References 35 publications

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“…A városi és vidéki háztartásoktól hasonló eredményeket várunk, mert habár különböznek olyan mutatók-ban, melyek befolyásolhatják a fogyasztási magatartásukat, úgy véljük, ezek a hatások kiegyenlítik egymást. Gudipudi et al (2016) szerint a lakosságszám és a népsűrűség mutató jó eszköze lehet a város funkciói és azok fenntarthatóságának vizsgálatára.…”

Section: A Modell öSszeállításaunclassified

Városi és vidéki háztartások villamosenergia fogyasztásának modellezése Magyarországon

Дурко¹,

Huzsvai²,

Csipkés³

2016

E-conom

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Section: A Modell öSszeállításaunclassified

Városi és vidéki háztartások villamosenergia fogyasztásának modellezése Magyarországon

Дурко¹,

Huzsvai²,

Csipkés³

2016

E-conom

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“…From the perspective of energy use and carbon emissions, there is generally support for higher density urban living [2][3][4][5][6][7][8][9][10]. At the same time, from a social perspective, there has been a long-standing argument that people living in dense urban cities may have a lower quality of life (QoL) and are less happy or less satisfied with their lives than those living in the suburbs, based on city and regional data sets [11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Life Satisfaction of Downtown High-Rise vs. Suburban Low-Rise Living: A Chicago Case Study

Wood

Ditchman

et al. 2017

Sustainability

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There has been a long-standing debate about whether urban living is more or less sustainable than suburban living, and quality of life (QoL) is one of several key measures of the social sustainability of residential living. However, to our knowledge, no study to date has examined life satisfaction among residents of downtown high-rise living compared to residents living in suburban low-rise housing. Further, very few studies have utilized building or neighborhood-scale data sets to evaluate residents' life satisfaction, and even fewer have controlled for both individual and household-level variables such as gender, age, household size, annual income, and length of residence, to evaluate residents' life satisfaction across different living scenarios. Therefore, the goal of this study was to investigate residents' satisfaction with their place of residence as well as overall life in general via surveys of individuals living in existing high-rise residential buildings in downtown Chicago, IL, and in existing low-rise residential buildings in suburban Oak Park, IL. Over 1500 individuals were contacted directly, resulting in over 500 responses. The number of fully completed responses for this study was 177, including 94 from residents of four downtown high-rise buildings and 83 from residents in suburban low-rise homes. Residents living in downtown high-rise buildings had significantly higher life satisfaction scores than residents living in suburban low-rise homes when controlling for demographic differences; however, the differences were small, as housing type explained less than 5% of the observed variance in life satisfaction outcomes. The research also evaluated five life satisfaction domains including travel, accessibility, social interaction, safety, and overall residential environment (ORE). In all cases, residents of the downtown high-rises reported higher satisfaction levels, although the scores on all these five satisfaction domains reported from both urban scenarios were very high. Moreover, all five satisfaction domains were highly associated with each other, and accessibility and safety were found as the strongest predictors of ORE for individuals.

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“…For example, Gudipudi et al (2016) also found that a compact city form by doubling the population density would lead to at least 42% reduction in the total CO 2 emissions in buildings and on-road sectors. CO 2 emission related to transportation and building cooling (or heating) can be significantly reduced in a compact city with a smaller population size than those in disperse cities with a larger population size.…”

Section: /2019ef001282mentioning

confidence: 99%

“…To derive urban extent from the GHS BUILT-UP Grid, the City Clustering Algorithm (CCA; Rozenfeld et al, 2008) was applied to the 48 cities. The CCA has been widely used for environmental applications in cities (e.g., Gudipudi et al, 2016;Peng et al, 2012;Zhou et al, 2013) due to its simplicity and automation nature.…”

Section: Urban Extent and Morphological Factorsmentioning

confidence: 99%

“…CO 2 emission related to transportation and building cooling (or heating) can be significantly reduced in a compact city with a smaller population size than those in disperse cities with a larger population size. For example, Gudipudi et al (2016) also found that a compact city form by doubling the population density would lead to at least 42% reduction in the total CO 2 emissions in buildings and on-road sectors. Given the positive relationship between FF CO2 trends and X CO2 trends, it was believed in this study that urban morphological factors may exert influences on X CO2 variations through affecting FF CO2 consumed in urban areas.…”

Section: /2019ef001282mentioning

confidence: 99%

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A Comparative Analysis of Anthropogenic CO₂ Emissions at City Level Using OCO‐2 Observations: A Global Perspective

Xie

Moore

et al. 2019

Earth's Future

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Satellite observations of anthropogenic carbon dioxide (CO 2 ) emissions within urban settings offer unique potential to understand carbon sources and sinks and evaluate carbon mitigation strategies. Despite availability of column-averaged dry air mole fraction of CO 2 (X CO2 ) from Orbiting Carbon Observatory-2 (OCO-2), temporal variations of X CO2 and their drivers in cities remain poorly understood due to inconsistent definitions of urban extent, diverse urban forms, and unresolved impacts of urban vegetation on carbon fluxes. To this end, this study revealed that OCO-2 X CO2 measurements from 2014 to 2018 exhibited statistically significant seasonal and trend components for each city. A correlation analysis suggested a weak association between X CO2 trends and fossil fuel CO 2 emissions (FF CO2 ) trends but a close relationship between yearly average X CO2 and FF CO2 trends. Vegetation abundance exhibited a negative relationship with the X CO2 seasonality, though it only explained 21% of the variance. No statistically significant relationship between urban morphological factors (areal extent, complexity, and compactness) and temporal X CO2 components was observed. However, urban morphological factors had a close relationship with the total amount of FF CO2 aggregated over the study period. Thus, it was speculated that urban morphological factors exerted their influence on X CO2 through fossil fuel consumption. When only cities of high normalized difference vegetation index seasonality were used, statistically significant correlation coefficients between urban morphological factors and winter/summer averaged X CO2 measurements were found. The variations of these correlation coefficients between leaf-on and leaf-off seasons stress the important role that urban trees play in mitigating carbon emissions in cities. Key Points:• X CO 2 variation is associated with fossil fuel CO 2 emission, vegetation abundance, and urban form • Fossil fuel CO 2 emissions are highly related to urban morphological factors • Trees (or vegetation) play an important role in mitigating CO 2 emissions in cities Supporting Information:• Supporting Information S1

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City density and CO2 efficiency

Cited by 95 publications

References 35 publications

Városi és vidéki háztartások villamosenergia fogyasztásának modellezése Magyarországon

Városi és vidéki háztartások villamosenergia fogyasztásának modellezése Magyarországon

Life Satisfaction of Downtown High-Rise vs. Suburban Low-Rise Living: A Chicago Case Study

A Comparative Analysis of Anthropogenic CO₂ Emissions at City Level Using OCO‐2 Observations: A Global Perspective

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City density and CO2 efficiency

Cited by 95 publications

References 35 publications

Városi és vidéki háztartások villamosenergia fogyasztásának modellezése Magyarországon

Városi és vidéki háztartások villamosenergia fogyasztásának modellezése Magyarországon

Life Satisfaction of Downtown High-Rise vs. Suburban Low-Rise Living: A Chicago Case Study

A Comparative Analysis of Anthropogenic CO2 Emissions at City Level Using OCO‐2 Observations: A Global Perspective

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Product

Resources

About

A Comparative Analysis of Anthropogenic CO₂ Emissions at City Level Using OCO‐2 Observations: A Global Perspective