[HTML][HTML] Emerging big data sources for public transport planning: A systematic review on current state of art and future research directions

KE Zannat, CF Choudhury - Journal of the Indian Institute of Science, 2019 - Springer
The rapid advancement of information and communication technology has brought a
revolution in the domain of public transport (PT) planning alongside other areas of transport …

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 …

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 …

[HTML][HTML] After the epidemic, is the smart traffic management system a key factor in creating a green leisure and tourism environment in the move towards sustainable …

HH Lin, IC Hsu, TY Lin, LM Tung, Y Ling - Sustainability, 2022 - mdpi.com
The purpose of this study is to explore, after the epidemic, the intelligent traffic management
system, which is the key to creating a green leisure tourism environment in the move …

[HTML][HTML] Review of transit data sources: potentials, challenges and complementarity

L Ge, M Sarhani, S Voß, L Xie - Sustainability, 2021 - mdpi.com
Public transport has become one of the major transport options, especially when it comes to
reducing motorized individual transport and achieving sustainability while reducing …

A data driven method for OD matrix estimation

P Krishnakumari, H Van Lint, T Djukic, O Cats - … Research Part C: Emerging …, 2020 - Elsevier
The fundamental challenge of the origin-destination (OD) matrix estimation problem is that it
is severely under-determined. In this paper we propose a new data driven OD estimation …

Using smartphone-GPS data to understand pedestrian-scale behavior in urban settings: A review of themes and approaches

A Rout, S Nitoslawski, A Ladle, P Galpern - Computers, Environment and …, 2021 - Elsevier
With the near-ubiquitous presence of smartphones among urban dwellers in many parts of
the world, we are living in an age where the public can act as continuous sensors of urban …

Use intention of mobility-management travel apps: The role of users goals, technophile attitude and community trust

AM Dastjerdi, S Kaplan, JA e Silva, OA Nielsen… - … Research Part A: Policy …, 2019 - Elsevier
In recent years, persuasive interventions delivered through mobility-management tools have
received attention as a means to motivate change for sustainable urban mobility. This paper …

Coupled application of generative adversarial networks and conventional neural networks for travel mode detection using GPS data

L Li, J Zhu, H Zhang, H Tan, B Du, B Ran - Transportation Research Part A …, 2020 - Elsevier
Inferring travel modes of travelers in the city is important to transportation planning and
infrastructure design. Based on the distribution of travel modes, transportation engineers …

Driving safety efficiency benchmarking using smartphone data

DI Tselentis, EI Vlahogianni, G Yannis - Transportation research part C …, 2019 - Elsevier
This paper aims to provide a methodological framework for the comparative evaluation of
driving safety efficiency based on Data Envelopment Analysis (DEA). The analysis considers …