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A data-driven travel mode share estimation framework based on mobile device location data

Bibliographic Data

ID19338206
AuthorsMofeng Yang (0000-0002-0525-7978, University of Maryland, College Park), Yixuan Pan (0000-0002-5015-0088, University of Maryland, College Park), Aref Darzi (0000-0003-2558-5570, University of Maryland, College Park), Sepehr Ghader (0000-0003-1938-7914, University of Maryland, College Park), Chenfeng Xiong (0000-0002-7254-5320, University of Maryland, Baltimore), Lei Zhang (0000-0003-4889-6486, University of Maryland, College Park, corresponding author)
Year2022
Volume49
Issue5
Pages1339-1383
Publication date2022-10-01
Open AccessYes
TypeARTICLE
VenueTransportation (JOURNAL)
Journal identifiersISSN: 0049-4488 • E-ISSN: 1572-9435
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11116-021-10214-3
PMID34400848
OpenAlexW3036418320
LanguageEN
Citations received5
References cited70

Cluster analysis · Data mining · Destinations · Geography · Ground truth · Machine learning · Metropolitan area · Mode choice · Population · Public transport · Tourism · Transport engineering · Travel behavior · Travel survey · Computer Science · Engineering · Human Mobility and Location-Based Analysis · Transportation Planning and Optimization · Urban Transport and Accessibility

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Citations per year1.25
Citation span2022 - 2025 (4)
Highly citedNo

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