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Mining commuting behavior of urban rail transit network by using association rules · Study

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ArticleMining commuting behavior of urban rail transit network by using association rules

Xin Guo2020

Article2020

Mining commuting behavior of urban rail transit network by using association rules

Xin Guo · David Z.W. Wang · Jianjun Wu · Huijun Sun · Li Zhou

29 citations·0/0 files stored·Physica A Statistical Mechanics and its Applications

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Human Mobility and Location-Based Analysis Transportation Planning and Optimization Railway Systems and Energy Efficiency

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References

2013Mining smart card data for transit riders’ travel patterns 2012Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile 2016Understanding commuting patterns using transit smart card data 2001Creating bus timetables with maximal synchronization 2016Inferring patterns in the multi-week activity sequences of public transport users 2014Passenger Segmentation Using Smart Card Data 2010A practical model for transfer optimization in a transit network: Model formulations and solutions 2018Public transport trip purpose inference using smart card fare data

Cited by

2022Timetable synchronization optimization in a subway–bus network 2024Spatial-temporal identification of commuters using trip chain data from non-motorized mode incentive program and public transportation 2022Analysis of public transit operation efficiency based on multi-source data: A case study in Brisbane, Australia 2024Mining Multimodal Travel Mobilities with Big Ridership Data: Comparative Analysis of Subways and Taxis 2025

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Year2020

Typearticle

Published2020-08-19

VenuePhysica A Statistical Mechanics and its Applications

ISSN-L0378-4371

Languageen

Citations29

Files0 public / 0

ShelfHuman Mobility and Location-Based Analysis

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doi10.1016/j.physa.2020.125094

openalex_workW3080907451

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Identifying subway commuters travel patterns using traffic smart card data: A topic model