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Spatial insights for sustainable transportation based on carbon emissions from multiple transport modes: A township-level case study in China
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 …
provide direction for energy conservation and emission reduction, which is of great …
Revealing the impacts of COVID-19 pandemic on intercity truck transport: New insights from big data analytics
Intercity truck transport emerged as a crucial lifeline for maintaining city operations during
COVID-19 pandemic. Understanding pandemic-imposed impacts on intercity truck transport …
COVID-19 pandemic. Understanding pandemic-imposed impacts on intercity truck transport …
Predicting origin-destination flows by considering heterogeneous mobility patterns
The accurate prediction of origin-destination (OD) flows is essential for advancing
sustainable urban mobility and supporting resilient urban planning. However, the inherent …
sustainable urban mobility and supporting resilient urban planning. However, the inherent …