[HTML][HTML] AI analytics for carbon-neutral city planning: A systematic review of applications

C Cong, J Page, Y Kwak, B Deal, Z Kalantari - Urban Science, 2024 - mdpi.com
Artificial intelligence (AI) has become a transformative force across various disciplines,
including urban planning. It has unprecedented potential to address complex challenges. An …

How does the 2D/3D urban morphology affect the urban heat island across urban functional zones? A case study of Bei**g, China

S Du, Y Wu, L Guo, D Fan, W Sun - ISPRS International Journal of Geo …, 2024 - mdpi.com
Studying driving factors of the urban heat island phenomenon is vital for enhancing urban
ecological environments. Urban functional zones (UFZs), key for planning and management …

Quantifying city freight mobility segregation associated with truck multi-tours behavior

Y Yang, Y Chen, YY Lv, XY Jia, XJ Lin, XY Yan… - Sustainable Cities and …, 2024 - Elsevier
Freight mobility segregation, a phenomenon like residential social segregation, is a crucial
aspect of city landscapes that influences the livability and sustainability of cities. However …

Spatial insights for sustainable transportation based on carbon emissions from multiple transport modes: A township-level case study in China

D Zhi, D Song, Y Chen, Y Yang, H Zhao, T Wang, H Wu… - Cities, 2024 - Elsevier
Understanding the CO 2 emissions and influencing factors of travelers' multiple modes can
provide direction for energy conservation and emission reduction, which is of great …

Unveiling diabetes onset: Optimized XGBoost with Bayesian optimization for enhanced prediction

MR Khurshid, S Manzoor, T Sadiq, L Hussain… - PloS one, 2025 - journals.plos.org
Diabetes, a chronic condition affecting millions worldwide, necessitates early intervention to
prevent severe complications. While accurately predicting diabetes onset or progression …

Unveiling local climate action: a case study of mitigation efforts in Gauteng's West Rand District Municipality, South Africa

P Rasebechele, K Langerman, C Kelso - Climate Policy, 2024 - Taylor & Francis
Effective national climate action hinges on robust local implementation. Fossil fuel-intensive
and extractive activities are often based in peri-urban municipalities, but local climate …

Revealing the built environment impacts on truck emissions using interpretable machine learning

T Shi, M Tu, Y Li, H Liu, D Gruyer - Transportation Research Part D …, 2025 - Elsevier
Understanding the factors influencing truck emissions remains critical for sustainable urban
freight transport development. However, ignoring spatiotemporal and policy heterogeneity …

Heterogeneity analysis of CO2 emissions driving features on road transport: New perspective from interpretive machine learning

X Wang, Y Su, Z Zheng, W Wang - Journal of Cleaner Production, 2025 - Elsevier
Carbon emissions from road transport are an important source of CO 2 emissions. It is
essential to analyze the non-linearity and heterogeneity of the driving features to achieve …

Revealing the impacts of COVID-19 pandemic on intercity truck transport: New insights from big data analytics

Y Yang, B Jia, Z Yang, XY Yan, ST Zheng, J Liu… - … Research Part C …, 2024 - Elsevier
Intercity truck transport emerged as a crucial lifeline for maintaining city operations during
COVID-19 pandemic. Understanding pandemic-imposed impacts on intercity truck transport …

Modeling and spatial analysis of heavy-duty truck CO2 using travel activities

Z Peng, H Ji, RT Yuan, Y Wang, SM Easa… - Journal of Transport …, 2025 - Elsevier
Heavy-duty trucks (HDTs) are vital components of the freight industry yet have faced criticism
for their substantial CO 2 emissions. This study, focusing on **'an, a crucial freight hub city in …