New and emerging data forms in transportation planning and policy: Opportunities and challenges for “Track and Trace” data

G Harrison, SM Grant-Muller, FC Hodgson - Transportation Research Part …, 2020 - Elsevier
High quality, reliable data and robust models are central to the development and appraisal
of transportation planning and policy. Although conventional data may offer good 'content', it …

A big-data driven approach to analyzing and modeling human mobility trend under non-pharmaceutical interventions during COVID-19 pandemic

S Hu, C Xiong, M Yang, H Younes, W Luo… - … Research Part C …, 2021 - Elsevier
During the unprecedented coronavirus disease 2019 (COVID-19) challenge, non-
pharmaceutical interventions became a widely adopted strategy to limit physical movements …

Inferring dynamic origin-destination flows by transport mode using mobile phone data

D Bachir, G Khodabandelou, V Gauthier… - … Research Part C …, 2019 - Elsevier
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 …

Rethinking behaviors and activities of base stations in mobile cellular networks based on big data analysis

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 …

Modeling real-time human mobility based on mobile phone and transportation data fusion

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 …

Does municipal solid waste generation in China support the Environmental Kuznets Curve? New evidence from spatial linkage analysis

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 …

New avenues for second home tourism research using big data: prospects and challenges

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 …

Spatiotemporal influence of land use and household properties on automobile travel demand

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 …

A data-driven approach for origin–destination matrix construction from cellular network signalling data: a case study of Lyon region (France)

M Fekih, T Bellemans, Z Smoreda, P Bonnel, A Furno… - Transportation, 2021 - Springer
Spatiotemporal data, and more specifically origin–destination matrices, are critical inputs to
mobility studies for transportation planning and urban management purposes. Traditionally …

Spatial dependence and spillover effects in customized bus demand: Empirical evidence using spatial dynamic panel models

J Wang, T Yamamoto, K Liu - Transport Policy, 2021 - Elsevier
This paper proposes customized bus (CB) demand models to investigate dynamic
adjustments, spatial dependence, and spatial spillover effects using spatial dynamic panel …