Geospatial assessment of the carbon footprint of water and electricity consumption in residential buildings in Doha, Qatar DOI Creative Commons
Ammar Abulibdeh

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 445, P. 141262 - 141262

Published: Feb. 16, 2024

The process of estimating the carbon footprint (CF) has become a key method for managing greenhouse gas (GHG) emissions, guiding strategies emission reduction and validating those strategies. Given complexity quantifying total lifecycle emissions in residential buildings, this study delves into assessing CF focusing on water electricity consumption two types buildings: mainly villas flats. This assessment was carried out Doha City, Qatar, using data from 2017 to 2020. employs Multi-Regional Input-Output Life Cycle Assessment (MRIO-LCA) model calculate convert these buildings. Further, various methods statistical spatial analysis including geographically weighted regression (GWR), Ordinary Least Squares (OLS), hotspot cold spot assessments. annual buildings are approximately 7 MtCO2 equivalent, with contributing about 83% total. Concurrently, average is around 0.06 predominantly attributed villas. findings highlight substantial impact structures, particularly villas, city's overall emissions. Furthermore, underscore significant especially Doha's revealing marked seasonal increase, during summer months notable spike reveals consistent clustering patterns across different seasons Elevated concentrated central, northern, northeastern regions, while spots eastern southern areas. Understanding settings crucial developing reduce enhance energy efficiency, address climate change. research helps inform targeted interventions more sustainable use, aligning broader environmental goals.

Language: Английский

Are high-density districts more vulnerable to the COVID-19 pandemic? DOI Open Access
Amir Reza Khavarian-Garmsir, Ayyoob Sharifi, Nabi Moradpour

et al.

Sustainable Cities and Society, Journal Year: 2021, Volume and Issue: 70, P. 102911 - 102911

Published: April 3, 2021

Language: Английский

Citations

139

Exploring spatiotemporal effects of the driving factors on COVID-19 incidences in the contiguous United States DOI Creative Commons
Arabinda Maiti, Qi Zhang, Srikanta Sannigrahi

et al.

Sustainable Cities and Society, Journal Year: 2021, Volume and Issue: 68, P. 102784 - 102784

Published: Feb. 21, 2021

Since December 2019, the world has witnessed stringent effect of an unprecedented global pandemic, coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome 2 (SARS-CoV-2). As January 29,2021, there have been 100,819,363 confirmed cases and 2,176,159 deaths reported. Among countries affected severely COVID-19, United States tops list. Research conducted to discuss causal associations between explanatory factors COVID-19 transmission in contiguous States. However, most these studies focus more on spatial estimated parameters, yet exploring time-varying dimension econometric modeling appears be utmost essential. This research adopts various relevant approaches explore potential effects driving counts A total three regression models two local models, latter including geographically weighted (GWR) multiscale GWR (MGWR), are performed at county scale take into account effects. For cases, ethnicity, crime, income found strongest covariates explain variance estimation. deaths, migration (domestic international) play a critical role explaining differences across counties. Such also exhibit temporal variations from March July, as supported better performance MGWR than GWR. Both among parameters vary highly over space change time. Therefore, time should paid attention epidemiological analysis. performs accurately, it slightly higher Adj. R

Language: Английский

Citations

129

What determines urban resilience against COVID-19: City size or governance capacity? DOI Open Access
Zhen Chu, Mingwang Cheng,

Malin Song

et al.

Sustainable Cities and Society, Journal Year: 2021, Volume and Issue: 75, P. 103304 - 103304

Published: Aug. 28, 2021

Language: Английский

Citations

114

Multiscale GIS based-model to assess urban social vulnerability and associated risk: Evidence from 146 urban centers of Eastern India DOI
Suranjan Majumder, Subham Roy, Arghadeep Bose

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 96, P. 104692 - 104692

Published: June 1, 2023

Language: Английский

Citations

102

Ranking the importance of demographic, socioeconomic, and underlying health factors on US COVID-19 deaths: A geographical random forest approach DOI Open Access
George Grekousis, Zhixin Feng,

Ioannis Marakakis

et al.

Health & Place, Journal Year: 2022, Volume and Issue: 74, P. 102744 - 102744

Published: Jan. 31, 2022

Language: Английский

Citations

100

Modeling the spatially heterogeneous relationships between tradeoffs and synergies among ecosystem services and potential drivers considering geographic scale in Bairin Left Banner, China DOI

Chenli Xue,

Xinghua Chen,

Lirong Xue

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 855, P. 158834 - 158834

Published: Sept. 17, 2022

Language: Английский

Citations

100

The rich-poor divide: Unravelling the spatial complexities and determinants of wealth inequality in India DOI
Subham Roy, Suranjan Majumder, Arghadeep Bose

et al.

Applied Geography, Journal Year: 2024, Volume and Issue: 166, P. 103267 - 103267

Published: April 6, 2024

Language: Английский

Citations

27

Day and night: Impact of 2D/3D urban features on land surface temperature and their spatiotemporal non-stationary relationships in urban building spaces DOI
Zhongli Lin, Hanqiu Xu,

Luyao Han

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 108, P. 105507 - 105507

Published: May 6, 2024

Language: Английский

Citations

26

Intricate synergistic effects between air pollution and carbon emission: An emerging evidence from China DOI
Yanwen Wang,

Jinmian Ni,

Kewei Xu

et al.

Environmental Pollution, Journal Year: 2024, Volume and Issue: 349, P. 123851 - 123851

Published: March 23, 2024

Language: Английский

Citations

17

Examining the spatial and temporal relationship between social vulnerability and stay-at-home behaviors in New York City during the COVID-19 pandemic DOI Open Access
Xinyu Fu, Wei Zhai

Sustainable Cities and Society, Journal Year: 2021, Volume and Issue: 67, P. 102757 - 102757

Published: Feb. 6, 2021

Language: Английский

Citations

82