Activity-based human mobility patterns inferred from mobile phone data: A case study of Singapore

S Jiang, J Ferreira, MC Gonzalez - IEEE Transactions on Big …, 2017 - ieeexplore.ieee.org
In this study, with Singapore as an example, we demonstrate how we can use mobile phone
call detail record (CDR) data, which contains millions of anonymous users, to extract …

An app-assisted travel survey in official statistics: Possibilities and challenges

D McCool, P Lugtig, O Mussmann… - Journal of Official …, 2021 - journals.sagepub.com
Advances in smartphone technology have allowed for individuals to have access to near-
continuous location tracking at a very precise level. As the backbone of mobility research …

Using mobile phone barometer for low-power transportation context detection

K Sankaran, M Zhu, XF Guo, AL Ananda… - Proceedings of the 12th …, 2014 - dl.acm.org
Accelerometer is the predominant sensor used for low-power context detection on
smartphones. Although low-power, accelerometer is orientation and position-dependent …

Exploratory analysis of a smartphone-based travel survey in Singapore

F Zhao, FC Pereira, R Ball, Y Kim… - Transportation …, 2015 - journals.sagepub.com
Future Mobility Sensing (FMS) is an innovative smartphone-based travel survey that was
field-tested in 2012 and 2013, together with the Household Interview Travel Survey (HITS) …

A review of the role of sensors in mobile context-aware recommendation systems

S Ilarri, R Hermoso, R Trillo-Lado… - International …, 2015 - journals.sagepub.com
Recommendation systems are specialized in offering suggestions about specific items of
different types (eg, books, movies, restaurants, and hotels) that could be interesting for the …

Design and implementation of a smartphone-based travel survey

H Safi, B Assemi, M Mesbah… - Transportation …, 2015 - journals.sagepub.com
This paper introduces a smartphone-based system for performing personal travel data
collection. The Smartphone-Based Individual Travel Survey System (SITSS), is designed to …

Datamobile: Smartphone travel survey experiment

Z Patterson, K Fitzsimmons - Transportation Research …, 2016 - journals.sagepub.com
An experiment that used an application of a pragmatic smartphone travel survey developed
to minimize respondent burden while collecting primarily passive data between destinations …

An evaluation of emerging data collection technologies for travel demand modeling: from research to practice

RJ Lee, IN Sener, JA Mullins III - Transportation Letters, 2016 - Taylor & Francis
Traditional methods of travel data collection are often limited by high costs, infrequent
updates, or small sample sizes. Several emerging technologies, such as mobile phone …

The effect of temporal sampling intervals on typical human mobility indicators obtained from mobile phone location data

Z Zhao, SL Shaw, L Yin, Z Fang, X Yang… - International Journal …, 2019 - Taylor & Francis
Mobile phone location data have been extensively used to understand human mobility
patterns through the employment of mobility indicators. The temporal sampling interval (TSI) …

Stop detection in smartphone-based travel surveys

F Zhao, A Ghorpade, FC Pereira, C Zegras… - Transportation research …, 2015 - Elsevier
Abstract Future Mobility Sensing (FMS) is a smartphone-based travel survey system that
employs a web-based prompted-recall interaction to correct automatically inferred …