[HTML][HTML] Map** CO2 traffic emissions within local climate zones in Helsinki
Road traffic is one of the major emitters of carbon dioxide (CO 2) to the atmosphere. Besides
detailed carbon emission calculations, methods to upscale the emissions are needed …
detailed carbon emission calculations, methods to upscale the emissions are needed …
The spatially varying effects of built environment characteristics on the integrated usage of dockless bike-sharing and public transport
The dockless bike-sharing (DBS) system offers a flexible feeder mode for connecting to
public transport. Using multi-source big data, this study employs a multi-scale …
public transport. Using multi-source big data, this study employs a multi-scale …
Spatiotemporal characteristics and driving factors of CO2 emissions from road freight transportation
Urban freight emissions play a vital role in the overall CO 2 emissions of the transportation
sector. However, previous studies have mainly focused on the CO 2 emissions of the entire …
sector. However, previous studies have mainly focused on the CO 2 emissions of the entire …
Emission analysis based on mixed traffic flow and license plate recognition model
S Wu, DJ Sun, G Qiu - Transportation Research Part D: Transport and …, 2024 - Elsevier
With the rising ownership of new energy vehicles (NEVs), accurate road traffic emission
estimations are crucial. This study combined mixed traffic flow and license plate recognition …
estimations are crucial. This study combined mixed traffic flow and license plate recognition …
Decarbonizing megacities: A spatiotemporal analysis considering inter-city travel and the 15-minute city concept
Megacities are major contributors to global road CO2 emissions, highlighting their pivotal
role in achieving low-carbon development. However, comprehensive studies on emission …
role in achieving low-carbon development. However, comprehensive studies on emission …
The nonlinear effects of multi-scale built environments on CO2 emissions from commuting
W Yang - Transportation Research Part D: Transport and …, 2023 - Elsevier
With survey data from 18 neighborhoods in Guangzhou, China, this study employs a
gradient boosting decision tree (GBDT) method to measure the contributions of the built …
gradient boosting decision tree (GBDT) method to measure the contributions of the built …
How can urban built environment (BE) influence on-road (OR) carbon emissions? A road segment scale quantification based on massive vehicle trajectory big data
Exploring the patterns of urban on-road (OR) emissions and their relationship with built
environment (BE) is essential for urban planning oriented by transportation carbon emission …
environment (BE) is essential for urban planning oriented by transportation carbon emission …
Analyzing spatiotemporal truck emission pattern using explainable machine learning: A case study in **'an, China
This study investigates the spatial distribution pattern of CO 2 emissions from Heavy duty
trucks (HDTs) in **'an City across different periods and their influencing factors. Five study …
trucks (HDTs) in **'an City across different periods and their influencing factors. Five study …
Self-supervised spatiotemporal clustering of vehicle emissions with graph convolutional network
Spatiotemporal clustering of vehicle emissions, which reveals the evolution pattern of air
pollution from road traffic, is a challenging representation learning task due to the lack of …
pollution from road traffic, is a challenging representation learning task due to the lack of …
High-resolution spatial assessment of the zero energy potential of buildings with photovoltaic systems at the city level
Zero energy buildings are considered as a viable way to reduce energy use and CO 2
emissions in the building sector. This study proposes a high-resolution assessment …
emissions in the building sector. This study proposes a high-resolution assessment …