Transit OD matrix estimation using smartcard data: Recent developments and future research challenges

E Hussain, A Bhaskar, E Chung - Transportation Research Part C …, 2021 - Elsevier
In public transport, smartcards are primarily used for automatic fare collection purpose,
which in turn generate massive data. During the last two decades, a tremendous amount of …

[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 …

Big data for big issues: Revealing travel patterns of low-income population based on smart card data mining in a global south unequal city

C Pieroni, M Giannotti, BB Alves, R Arbex - Journal of Transport Geography, 2021 - Elsevier
Smart card data (SCD) allow analyzing mobility at a fine level of detail, despite the
remaining challenges such as identifying trip purpose. The use of the SCD may improve the …

The effect of dynamic lockdowns on public transport demand in times of COVID-19: Evidence from smartcard data

B Gramsch, CA Guevara, M Munizaga, D Schwartz… - Transport Policy, 2022 - Elsevier
Governments around the globe have taken different measures to tackle the COVID-19
pandemic, including the lockdown of people to decrease infections. The effect of such a …

[HTML][HTML] Traffic crash characteristics in Shenzhen, China from 2014 to 2016

G Li, Y Liao, Q Guo, C Shen, W Lai - International journal of …, 2021 - mdpi.com
Road traffic crashes cause fatalities and injuries of both drivers/passengers in vehicles and
pedestrians outside, thus challenge public health especially in big cities in developing …

Using smart card and GPS data for policy and planning: The case of Transantiago

A Gschwender, M Munizaga, C Simonetti - Research in Transportation …, 2016 - Elsevier
The introduction in 2007 of a new public transport system in Santiago, Chile, brought to us
an unexpected gift: the availability of Big Data; massive amounts of passive data obtained …

[HTML][HTML] Using smart card data to model public transport user profiles in light of the COVID-19 pandemic

M Lizana, C Choudhury, D Watling - Travel Behaviour and Society, 2023 - Elsevier
The COVID-19 pandemic caused an unprecedented impact on public transport demand.
Even though several studies have investigated the change in the use of public transport …

Fare evasion correction for smartcard-based origin-destination matrices

MA Munizaga, A Gschwender, N Gallegos - Transportation Research Part …, 2020 - Elsevier
Origin-Destination matrices obtained from smartcard data are very valuable because they
contain vast amounts of information and can be obtained at a very low cost. However, they …

[HTML][HTML] Exploring the weekly travel patterns of private vehicles using automatic vehicle identification data: A case study of Wuhan, China

Y Zhao, X Zhu, W Guo, B She, H Yue, M Li - Sustainability, 2019 - mdpi.com
Automatic vehicle identification (AVI) systems collect 24 h vehicle travel data for the efficient
management of traffic flows. The automatic vehicle identification data collected by an …

Public transit passenger profiling by using large-scale smart card data

L Wang, Y Wang, X Sun, Y Wu, F Peng… - … Engineering, Part A …, 2023 - ascelibrary.org
The term “user persona” recently has become more popular and can reflect the
characteristics and needs of each user. To analyze the individual characteristics of each …