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Neighbourhood correlates of average population walking

Using aggregated, anonymised mobile phone data to identify where people walk

Bibliographic Data

ID12544205
AuthorsRenee Zahnow (0000-0001-5796-9443, The University of Queensland, corresponding author), Anthony Kimpton (0000-0001-8151-7615, The University of Queensland), Jacqueline Corcoran (0000-0003-3565-6061, The University of Queensland), Gregore Iven Mielke (0000-0002-3043-2715, The University of Queensland), Gregore Mielke
Year2022
Volume77
Pages102892-102892
Publication date2022-08-12
Open AccessYes
TypeARTICLE
VenueHealth & Place (JOURNAL)
Journal identifiersISSN: 1353-8292 • E-ISSN: 1873-2054
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.healthplace.2022.102892
PMID35973356
OpenAlexW4293274390
LanguageEN
Citations received3
References cited41

Disadvantaged · Economic growth · Geography · Interurban · Metropolitan area · Mobile phone · Neighbourhood (mathematics · Phone · Population · Sociology · Transport engineering · Computer Science · Demography · Health disparities and outcomes · Human Mobility and Location-Based Analysis · Urban Transport and Accessibility

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Citations per year1.5
Citation span2024 - 2026 (3)
Highly citedNo

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