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Kirstie English

Biographic Data

ID9452801
NAMEKirstie English
GIVEN NAMESKirstie
FAMILY NAMEEnglish
SIGNATUREENGLISH K
AFFILIATIONSUniversity of Glasgow
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2021
H-INDEX0
  • Predicting cycling volumes using crowdsourced activity data

    Open Access•Mark Livingston, David Philip Mcarthur et al.•ARTICLE•Environment and Planning B Urban…•2021

    Planning for cycling is often made difficult by the lack of detailed information about when and where cycling takes place. Many have seen the arrival of new forms of data such as crowdsourced data as a potential saviour. One of the key challenges posed by these data forms is understanding how representative they are of the population. To address this challenge, a limited number of studies have compared crowdsourced cycling data to ground truth co…

No prominent works on this page.

  • Predicting cycling volumes using crowdsourced activity data

    Open Access•Mark Livingston, David Philip Mcarthur et al.•ARTICLE•Environment and Planning B Urban…•2021

    Planning for cycling is often made difficult by the lack of detailed information about when and where cycling takes place. Many have seen the arrival of new forms of data such as crowdsourced data as a potential saviour. One of the key challenges posed by these data forms is understanding how representative they are of the population. To address this challenge, a limited number of studies have compared crowdsourced cycling data to ground truth co…

Computer Science (1 works) · Cycling (1 works) · Data science (1 works) · Demography (1 works) · Geography (1 works) · Ground truth (1 works) · Machine learning (1 works) · Population (1 works) · Predictive modelling (1 works) · Traffic and Road Safety (1 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