Identifying, Analyzing, and forecasting commuting patterns in urban public Transportation: A review

J Xiong, L Xu, Z Wei, P Wu, Q Li, M Pei - Expert Systems with Applications, 2024 - Elsevier
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 …

Constructing multi-level urban clusters based on population distributions and interactions

W Cao, L Dong, Y Cheng, L Wu, Q Guo, Y Liu - … , Environment and Urban …, 2023 - Elsevier
A city (or an urban cluster) is not an isolated spatial unit, but a combination of areas with
closely linked socio-economic activities. However, so far, we lack a consistent and …

Tools and Methodologies for the Analysis of Home-to-Work Shuttle Service Impacts: The ENEA “Casaccia” Case Study

F Carapellucci, V Conti, M Lelli, C Liberto, S Orchi… - Future …, 2023 - mdpi.com
Mobility management is a regulatory framework designed to streamline systematic mobility
and mitigate energy, environmental and economic impacts. In this work, we propose a …

Intermunicipal travel networks of mexico during the covid-19 pandemic

O Fontanelli, P Guzmán, A Meneses-Viveros… - Scientific Reports, 2023 - nature.com
Human mobility networks are widely used for diverse studies in geography, sociology, and
economics. In these networks, nodes usually represent places or regions and links refer to …

Predicting mobile users' next location using the semantically enriched geo-embedding model and the multilayer attention mechanism

Y Yao, Z Guo, C Dou, M Jia, Y Hong, Q Guan… - … , Environment and Urban …, 2023 - Elsevier
Predicting the next location of human mobility and its semantic information can support
recommendations for location-based services and trajectory mining, such as human mobility …

A real-time model for pedestrian flow estimation in urban areas based on IoT sensors

K Khoshkhah, M Pourmoradnasseri… - 2022 IEEE 25th …, 2022 - ieeexplore.ieee.org
Understanding foot traffic in real-time at a city scale is significant from different perspectives
such as safety, redesigning public spaces, traffic management, hazard management, and …

[HTML][HTML] Examining regularity in vehicular traffic through Bluetooth scanner data: Is the daily commuter the regular road user?

R Zahnow, W Abewickrema - Journal of Transport Geography, 2023 - Elsevier
Regularity is an important property of individual travel behaviour. The ability to measure it
enables advances in behaviour modelling, mobility prediction and commuter analytics. The …

Leveraging IoT data stream for near‐real‐time calibration of city‐scale microscopic traffic simulation

M Pourmoradnasseri, K Khoshkhah… - IET Smart …, 2023 - Wiley Online Library
The emergence of smart cities is set to transform transportation systems by leveraging real‐
time traffic data streams to monitor urban dynamics. This complements traditional …

[HTML][HTML] Analysis of changes in intercity highway traffic travel patterns under the impact of COVID-19

M Gu, S Sun, F Jian, X Liu - Journal of Advanced Transportation, 2021 - hindawi.com
The unprecedented COVID-19 pandemic impacts negatively on the security and
development of human society. Comparison and analysis of intercity highway travel patterns …

Exploring Spatial Nonstationarity in Determinants of Intercity Commuting Flows: A Case Study of Suzhou–Shanghai, China

Z Li, X Niu - ISPRS International Journal of Geo-Information, 2022 - mdpi.com
The increasing popularity of intercity commuting is affecting regional development and
people's lifestyles. A key approach to addressing the challenges brought about by intercity …