AllAboard: a system for exploring urban mobility and optimizing public transport using cellphone data

M Berlingerio, F Calabrese, G Di Lorenzo… - Machine Learning and …, 2013 - Springer
Introduction The deep penetration of mobile phones offers cities the ability to
opportunistically monitor citizens' interactions and use data-driven insights to better plan and …

Allaboard: Visual exploration of cellphone mobility data to optimise public transport

G Di Lorenzo, ML Sbodio, F Calabrese… - Proceedings of the 19th …, 2014 - dl.acm.org
The deep penetration of mobile phones offers cities the ability to opportunistically monitor
citizensfi mobility and use data-driven insights to better plan and manage services. In this …

Singapore in motion: Insights on public transport service level through farecard and mobile data analytics

H Poonawala, V Kolar, S Blandin, L Wynter… - Proceedings of the 22nd …, 2016 - dl.acm.org
Given the changing dynamics of mobility patterns and rapid growth of cities, transport
agencies seek to respond more rapidly to needs of the public with the goal of offering an …

Inferring passenger travel demand to improve urban mobility in developing countries using cell phone data: a case study of Senegal

MG Demissie, S Phithakkitnukoon… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
A rise in population, along with urbanization, has been causing an increase in demand for
urban transportation services in the sub-Saharan Africa countries. In these countries …

Urban sensing based on mobile phone data: Approaches, applications, and challenges

M Ghahramani, MC Zhou… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
Data volume grows explosively with the proliferation of powerful smartphones and
innovative mobile applications. The ability to accurately and extensively monitor and …

Urban sensing using mobile phone network data: a survey of research

F Calabrese, L Ferrari, VD Blondel - Acm computing surveys (csur), 2014 - dl.acm.org
The recent development of telecommunication networks is producing an unprecedented
wealth of information and, as a consequence, an increasing interest in analyzing such data …

Data-driven transit network design from mobile phone trajectories

F Pinelli, R Nair, F Calabrese… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
This paper presents a data-driven method for transit network design that relies on a large
sample of user location data available from mobile phone telecommunication networks …

Demand responsive transport: Generation of activity patterns from mobile phone network data to support the operation of new mobility services

P Franco, R Johnston, E McCormick - … Research Part A: Policy and Practice, 2020 - Elsevier
Abstract Demand Responsive Transport (DRT), covering the first/last mile of a journey, plays
a pivotal role in the delivery of a seamless integrated door-to-door service, which is a …

[HTML][HTML] An automated approach from GPS traces to complete trip information

A Yazdizadeh, Z Patterson, B Farooq - International Journal of …, 2019 - Elsevier
Recent advances in communication technologies have enabled researchers to collect travel
data based on ubiquitous and location-aware smartphones. These advances hold out the …

Detecting weak public transport connections from cellphone and public transport data

T Holleczek, L Yu, JK Lee, O Senn, C Ratti… - Proceedings of the 2014 …, 2014 - dl.acm.org
Many modern and growing cities are facing declines in public transport usage, with few
efficient methods to explain why. In this article, we show that urban mobility patterns and …