During the unprecedented coronavirus disease 2019 (COVID-19) challenge, non- pharmaceutical interventions became a widely adopted strategy to limit physical movements …
Fast urbanization generates increasing amounts of travel flows, urging the need for efficient transport planning policies. In parallel, mobile phone data have emerged as the largest …
D Jiang, L Huo, H Song - IEEE Transactions on Network …, 2018 - ieeexplore.ieee.org
This paper uses big data technologies to study base stations' behaviors and activities and their predictability in mobile cellular networks. With new technologies quickly appearing …
Z Huang, X Ling, P Wang, F Zhang, Y Mao, T Lin… - … research part C …, 2018 - Elsevier
Even though a variety of human mobility models have been recently developed, models that can capture real-time human mobility of urban populations in a sustainable and economical …
S Gui, L Zhao, Z Zhang - Waste management, 2019 - Elsevier
Ever increasing municipal solid waste (MSW) is becoming a serious city pollution trouble, extensive studies explored this question from micro demographic factors before. But testing …
J Raun, O Järv, P Okkonen, M Rantanen… - Current Issues in …, 2023 - Taylor & Francis
The phenomenon of owning and visiting a second home is broadening beyond tourism due to the increase in remote working and multi-local living–people living in multiple residences …
X Shen, Y Zhou, S Jin, D Wang - Transportation Research Part D: Transport …, 2020 - Elsevier
Understanding the patterns of automobile travel demand can help formulate policies to alleviate congestion and pollution. This study focuses on the influence of land use and …
Spatiotemporal data, and more specifically origin–destination matrices, are critical inputs to mobility studies for transportation planning and urban management purposes. Traditionally …
This paper proposes customized bus (CB) demand models to investigate dynamic adjustments, spatial dependence, and spatial spillover effects using spatial dynamic panel …