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 …
Understanding internal migration in the UK before and during the COVID-19 pandemic using twitter data
The COVID-19 pandemic has greatly affected internal migration patterns and may last
beyond the pandemic. It raises the need to monitor the migration in an economical, effective …
beyond the pandemic. It raises the need to monitor the migration in an economical, effective …
Accurate map matching method for mobile phone signaling data under spatio-temporal uncertainty
Y Huang, D Wang, W Xu, Z Cai… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Understanding human mobility has become a greater demand in recent years. Among them,
how to extract people's travel trajectories and reconstruct them accurately is crucial to …
how to extract people's travel trajectories and reconstruct them accurately is crucial to …
Analysis of key commuting routes based on spatiotemporal trip chain
Commuting pattern is one of the most important travel patterns on the road network; the
analysis of commuting pattern can provide support for public transport system optimization …
analysis of commuting pattern can provide support for public transport system optimization …
Assessment of network structure characteristics and factors of corporate flows in Guangdong Province
X Chen, Y He, T Long, J Wang, X Chen - Plos one, 2024 - journals.plos.org
With the rapid development of the world city network, the traditional location theory has
gradually been disproven, and the advantages of the flow space over the traditional vertical …
gradually been disproven, and the advantages of the flow space over the traditional vertical …
Modeling urban scale human mobility through big data analysis and machine learning
Abstract In the United States, the buildings sector consumes about 76% of electricity use and
40% of all primary energy use and associated greenhouse gas emissions. Occupant …
40% of all primary energy use and associated greenhouse gas emissions. Occupant …
From cell tower location to user location: Understanding the spatial uncertainty of mobile phone network data in human mobility research
X Zhou, L You, S Zhong, M Cai - Computers, Environment and Urban …, 2024 - Elsevier
Mobile phone network data is a vital source for unveiling human mobility characteristics in
accordance with its large-scale spatiotemporal trajectory information. However, mobile …
accordance with its large-scale spatiotemporal trajectory information. However, mobile …
The fallacy of the closest antenna: Towards an adequate view of device location in the mobile network
The partition of the Mobile Phone Network (MPN) service area into the cell towers' Voronoi
polygons (VP) may serve as a coordinate system for representing the location of the mobile …
polygons (VP) may serve as a coordinate system for representing the location of the mobile …
[HTML][HTML] A stochastic hub location and fleet assignment problem for the design of reconfigurable park-and-ride systems
Park-and-ride systems have the potential to improve the efficiency of transportation networks
by providing targeted shared mobility services. The design of a park-and-ride system …
by providing targeted shared mobility services. The design of a park-and-ride system …
Travel patterns and spatial structure: understanding winter tourism by trajectory data mining
J Liu, J Chen, R Law, S Wang… - Asia Pacific Journal of …, 2024 - Taylor & Francis
Mining tourists' spatiotemporal patterns are fundamental for comprehending and applying
spatial structure theories in tourism research. This study mines 27,981 tourist-generated …
spatial structure theories in tourism research. This study mines 27,981 tourist-generated …