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Grant McKenzie

Biographic Data

ID7248245
NAMEGrant McKenzie
GIVEN NAMESGrant
FAMILY NAMEMcKenzie
SIGNATUREMCKENZIE G
AFFILIATIONSMcGill University
VERIFIEDNo
TOTAL WORKS6
TOTAL CITATIONS0
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Navigating the post-pandemic urban landscape

    Open Access•Dan Qiang, Gemma Mckenzie et al.•ARTICLE•Computers Environment and Urban…•2024

  • Regional comparison of socio-demographic variation in urban E-scooter usage

    Open Access•Priyanka Verma, Gemma Mckenzie et al.•ARTICLE•Environment and Planning B Urban…•2024

    In recent years we have witnessed explosive growth in the shared, free-floating, electric scooter industry. While still controversial in many North American cities, a number of large e-scooter operators have managed to carve out a piece of the urban transportation landscape. As these vehicles shift from novelty services to increasingly reliable modes of short personal travel, the discussion has turned to investigating who exactly benefits from th…

  • Measuring urban regional similarity through mobility signatures

    Open Access•Gemma Mckenzie, Grant McKenzie et al.•ARTICLE•Computers Environment and Urban…•2021

  • Urban mobility in the sharing economy

    Open Access•Gemma Mckenzie, Grant McKenzie•ARTICLE•Computers Environment and Urban…•2020

  • A country comparison of place-based activity response to Covid-19 policies

    Open Access•Gemma Mckenzie, Grant McKenzie et al.•ARTICLE•Applied Geography•2020

  • POI Pulse

    Gemma Mckenzie, Grant McKenzie et al.•ARTICLE•Cartographica The International…•2015

    The volume, velocity, and variety of data that are now becoming available allow us to study urban environments based on human behaviour with a spatial, temporal, and thematic granularity that was not achievable until now. Such data-driven approaches open up additional, complementary perspectives on how urban systems function, especially if they are based on user-generated content (UGC). While the data sources, such as social media, introduce spec…

No prominent works on this page.

  • POI Pulse

    Gemma Mckenzie, Grant McKenzie et al.•ARTICLE•Cartographica The International…•2015

    The volume, velocity, and variety of data that are now becoming available allow us to study urban environments based on human behaviour with a spatial, temporal, and thematic granularity that was not achievable until now. Such data-driven approaches open up additional, complementary perspectives on how urban systems function, especially if they are based on user-generated content (UGC). While the data sources, such as social media, introduce spec…

  • Urban mobility in the sharing economy

    Open Access•Gemma Mckenzie, Grant McKenzie•ARTICLE•Computers Environment and Urban…•2020

  • A country comparison of place-based activity response to Covid-19 policies

    Open Access•Gemma Mckenzie, Grant McKenzie et al.•ARTICLE•Applied Geography•2020

  • Measuring urban regional similarity through mobility signatures

    Open Access•Gemma Mckenzie, Grant McKenzie et al.•ARTICLE•Computers Environment and Urban…•2021

  • Navigating the post-pandemic urban landscape

    Open Access•Dan Qiang, Gemma Mckenzie et al.•ARTICLE•Computers Environment and Urban…•2024

  • Regional comparison of socio-demographic variation in urban E-scooter usage

    Open Access•Priyanka Verma, Gemma Mckenzie et al.•ARTICLE•Environment and Planning B Urban…•2024

    In recent years we have witnessed explosive growth in the shared, free-floating, electric scooter industry. While still controversial in many North American cities, a number of large e-scooter operators have managed to carve out a piece of the urban transportation landscape. As these vehicles shift from novelty services to increasingly reliable modes of short personal travel, the discussion has turned to investigating who exactly benefits from th…

Geography (5 works) · Human Mobility and Location-Based Analysis (4 works) · Urban Transport and Accessibility (4 works) · Business (3 works) · Computer Science (3 works) · Economic geography (3 works) · Regional science (3 works) · Artificial Intelligence (2 works) · Medicine (2 works) · Pandemic (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae