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Estimating spatial patterns of commute mode preference in Beijing

Bibliographic Data

ID7366703
AuthorsJiaoe Wang (0000-0003-1051-7727), Jie Huang (0009-0007-4279-2914, corresponding author), Fangye Du (0000-0003-0170-0431)
Year2020
Volume7
Issue1
Pages382-386
Publication date2020-01-01
Open AccessYes
TypeARTICLE
VenueRegional Studies Regional Science (JOURNAL)
Journal identifiersISSN: 2168-1376 • E-ISSN: 2168-1376
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/21681376.2020.1806104
OpenAlexW3082557111
LanguageEN
Citations received2
References cited4

In the era of big data, multiple data sources have been employed in the study of land use and transportation for urban and regional planning purposes. This paper offers an example of how multiple data sources (e.g., mobile signalling data, taxi trips and transit trips from smartcard data) can be used to estimate the spatial pattern of commute mode preference in Beijing, China. The comparative analysis investigates the spatial pattern of commute mode preference by taxi at a fine resolution in Beijing. This work indicates how the preference for taxis can be seen in the north-east of the inner city, but not around employment centres. Equally, a complementary relationship is found between a preference for taxis and public transit that provides useful insights into modal choice at an intra-urban scale. These findings are useful in urban planning and transport management

Beijing · China · Econometrics · Geography · Human–computer interaction · Mode (computer interface · Preference · Statistics · Computer Science · Human Mobility and Location-Based Analysis · Mathematics · Transportation Planning and Optimization · Urban Transport and Accessibility

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  • Tracking job and housing dynamics with smartcard data

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  • What affects commute mode choice

    Open Access•Tim Schwanen, Patricia L Mokhtarian•Journal of Transport Geography•2004

  • Determinants of transport mode choice

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  • Job-worker spatial dynamics in Beijing

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Citations per year0.5
Citation span2022 - 2024 (3)
Highly citedNo

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Open DOIOpen Access
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