How do urban services facilities affect social segregation among people of different economic levels? A case study of Shenzhen city

Y Wu, Y Yao, S Ren, S Zhang… - … and Planning B: Urban …, 2023 - journals.sagepub.com
Social segregation hinders the development of cities and has become a hot topic in urban
research. Existing studies have focused on the difference in the distribution of crowd …

Spatio-temporal variations and influencing factors of energy-related carbon emissions for Xinjiang cities in China based on time-series nighttime light data

L Zhang, J Lei, C Wang, F Wang, Z Geng… - Journal of Geographical …, 2022 - Springer
This essay combines the Defense Meteorological Satellite Program Operational Linescan
System (DMSP-OLS) nighttime light data and the Visible Infrared Imaging Radiometer Suite …

The determinants of household electricity demand in Turkey: An implementation of the Heckman Sample Selection model

İY Yarbaşı, AK Çelik - Energy, 2023 - Elsevier
Residential areas have a significant share in electrical energy consumption in Turkey. At this
point, determining electricity consumption demand in residential areas will significantly …

A classification-based multifractal analysis method for identifying urban multifractal structures considering geographic mapping

J Wang, F Lu, S Liu - Computers, Environment and Urban Systems, 2023 - Elsevier
Identifying urban multifractal structures are helpful for understanding urban spatial
organization patterns as complex systems. Multifractal analysis is a powerful tool to model …

[HTML][HTML] Using nighttime lights data to assess the resumption of religious and socioeconomic activities post-COVID-19

M Alahmadi, S Mansour, N Dasgupta, DJ Martin - Remote Sensing, 2023 - mdpi.com
The COVID-19 pandemic greatly impacted socioeconomic life globally. Nighttime-lights
(NTLs) data are mainly related to anthropogenic phenomena and thus have the ability to …

Unveiling Land Use-Carbon Nexus: Spatial Matrix-Enhanced Neural Network for Predicting Commercial and Residential Carbon Emissions

H Luo, Y Zhang, X Gao, Z Liu, X Song, X Meng, X Yang - Energy, 2024 - Elsevier
Carbon emissions play a pivotal role in driving global warming, with commercial and
residential sectors ranking as the third-largest source after industrial and transportation …

Modelling monthly-gridded carbon emissions based on nighttime light data

R Wan, S Qian, J Ruan, L Zhang, Z Zhang… - Journal of …, 2024 - Elsevier
Timely and accurate implementation of carbon emissions (CE) analysis and evaluation is
necessary for policymaking and management. However, previous inventories, most of which …

[HTML][HTML] Driving factors analysis of residential electricity expenditure using a multi-scale spatial regression analysis: A case study

J Li, C Shui, R Li, L Zhang - Energy Reports, 2022 - Elsevier
The driving factors of electricity consumption have been widely explored globally, especially
in the US However, few studies have quantified the determinants of electricity expenditure …

Spatialization of electricity consumption by combining high-resolution nighttime light remote sensing and urban functional zoning information

S Lu, Y Xiao, Y Lu, J Lin - Geo-spatial Information Science, 2024 - Taylor & Francis
An accurate and timely spatialization of electricity consumption is fundamental for energy
management and sustainable urban development. While previous research has relied …

Integrated analysis of energy carbon emissions and air pollution in Ningxia based on MGWR and multisource remote sensing data

W Zhen, M Zang, Y Wang, S Qiao, Q Wang - Arabian Journal of …, 2023 - Springer
With the continuous increase in China's carbon emission reduction efforts, energy
transformation and energy revolution are advancing in multiple dimensions. To optimize the …