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Development of origin–destination matrices using mobile phone call data · Study

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Development of origin–destination matrices using mobile phone call data

Shahadat Iqbal, Charisma Farheen Choudhury, Pu Wang, Marta C. González

2014-02-02articleTransportation Research Part C Emerging Technologies508 citationsgreen

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Human Mobility and Location-Based Analysis Transportation Planning and Optimization Traffic Prediction and Management Techniques

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 508 citations exist upstream.

References

2008Understanding individual human mobility patterns

2006Nonresponse Rates and Nonresponse Bias in Household Surveys

2012A universal model for mobility and migration patterns

2010Modelling the scaling properties of human mobility

2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example

1980The most likely trip matrix estimated from traffic counts

2008Uncovering individual and collective human dynamics from mobile phone records

2011Estimating Origin-Destination Flows Using Mobile Phone Location Data

Cited by

2015Origin–destination trips by purpose and time of day inferred from mobile phone data

2016The promises of big data and small data for travel behavior (aka human mobility) analysis

2016Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore

2015The path most traveled: Travel demand estimation using big data resources

2017Applying mobile phone data to travel behaviour research: A literature review

2017On data processing required to derive mobility patterns from passively-generated mobile phone data

2018Human mobility and socioeconomic status: Analysis of Singapore and Boston

2017Transport modelling in the age of big data

Details

Year2014

Typearticle

VenueTransportation Research Part C Emerging Technologies

Languageen

Files0 public / 0

Identifiers

doi10.1016/j.trc.2014.01.002

openalex_workW2020281294

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