Region-level traffic prediction based on temporal multi-spatial dependence graph convolutional network from GPS data
H Yang, X Zhang, Z Li, J Cui - Remote Sensing, 2022 - mdpi.com
Region-level traffic information can characterize dynamic changes of urban traffic at the
macro level. Real-time region-level traffic prediction help city traffic managers with traffic …
macro level. Real-time region-level traffic prediction help city traffic managers with traffic …
Supply-demand matching assessment of the public service facilities in 15-minute community life circle based on residents' behaviors
L Song, X Kong, P Cheng - Cities, 2024 - Elsevier
minute community life circle focuses on residents' daily needs and aligns with “people-
oriented” planning. However, the personalized needs of residents have been ignored in …
oriented” planning. However, the personalized needs of residents have been ignored in …
[HTML][HTML] Hybrid graph convolution neural network and branch-and-bound optimization for traffic flow forecasting
In this study, we combine graph optimization and prediction in a single pipeline to
investigate an innovative convolutional graph-based neural network for urban traffic flow …
investigate an innovative convolutional graph-based neural network for urban traffic flow …
Developing the 15-Minute City: A comprehensive assessment of the status in Hong Kong
The 15-minute city concept has been incorporated into the planning doctrines of an
increasing number of cities in different parts of the world. It serves as a guide for creating a …
increasing number of cities in different parts of the world. It serves as a guide for creating a …
[HTML][HTML] Exploring the spatiotemporal pattern of traffic congestion performance of large cities in China: A real-time data based investigation
The socioeconomic costs of traffic congestion are crippling in urbanising China. This study is
a first attempt to explore the spatiotemporal pattern of traffic congestion performance in 77 …
a first attempt to explore the spatiotemporal pattern of traffic congestion performance in 77 …
Identifying, Analyzing, and forecasting commuting patterns in urban public Transportation: A review
With the continuous evolution and refinement of urban functional spaces, the escalating
reliance of commuters on public transportation for work-related travel has surged with time …
reliance of commuters on public transportation for work-related travel has surged with time …
Uncovering the spatiotemporal patterns of traffic congestion from large-scale trajectory data: A complex network approach
Understanding the spatiotemporal characteristics of traffic congestion is the cornerstone of
generating traffic management and control strategies. Based on the large-scale taxi …
generating traffic management and control strategies. Based on the large-scale taxi …
Distribution patterns and influencing factors of population exposure risk to particulate matters based on cell phone signaling data
In this study, spatial-temporal characteristics of particular matter (PM) exposure risk in
Shenyang were analyzed with landscape patterns using data from land use, cell phone …
Shenyang were analyzed with landscape patterns using data from land use, cell phone …
How Mobility and Temporal Contexts May Affect Environmental Exposure Measurements: Using Outdoor Artificial Light at Night (ALAN) and Urban Green Space as …
Temporal contexts are essential for the derivation of causally relevant environmental
exposure in environmental and public health studies. We argue that the proper temporal …
exposure in environmental and public health studies. We argue that the proper temporal …
Exploring the impact of trip patterns on spatially aggregated crashes using floating vehicle trajectory data and graph Convolutional Networks
In recent years, increased attention has been given to understanding the spatial pattern of
crashes in urban areas. Accurately capturing the spatial relationship between crash counts …
crashes in urban areas. Accurately capturing the spatial relationship between crash counts …