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Spatial context mining approach for transport mode recognition from mobile sensed big data · Study

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Spatial context mining approach for transport mode recognition from mobile sensed big data

Ivana Cavar Semanjski, Sidharta Gautama, Rein Ahas, Frank Witlox

2017-08-10articleComputers Environment and Urban Systems61 citationsclosed

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Human Mobility and Location-Based Analysis Urban Transport and Accessibility Context-Aware Activity Recognition Systems

Abstract

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Citations in this library

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References

2008Understanding individual human mobility patterns

2014Big Data: A Survey

2007The sustainable mobility paradigm

2006Nonresponse Rates and Nonresponse Bias in Household Surveys

2003Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures

2010How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets

2013Data Science and its Relationship to Big Data and Data-Driven Decision Making

1984Network Design and Transportation Planning: Models and Algorithms

Cited by

2020Reviewing trip purpose imputation in GPS-based travel surveys

2020Exploring strengths and weaknesses of mobility inference from mobile phone data vs. travel surveys

2023A data fusion approach with mobile phone data for updating travel survey-based mode split estimates

2021Transportation mode choice behavior with recommender systems: A case study on Beijing

2022Assessing the role of geographic context in transportation mode detection from GPS data

2024Predicting travel mode choice with a robust neural network and Shapley additive explanations analysis

2020On the requirements on spatial accuracy and sampling rate for transport mode detection in view of a shift to passive signalling data

2023A Framework of Travel Mode Identification Fusing Deep Learning and Map-Matching Algorithm

Details

Year2017

Typearticle

VenueComputers Environment and Urban Systems

Languageen

Files0 public / 0

Identifiers

doi10.1016/j.compenvurbsys.2017.07.004

openalex_workW2743470529

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