Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Kerry A Nice

Biographic Data

ID4621902
NAMEKerry A Nice
GIVEN NAMESKerry A
FAMILY NAMENice
SIGNATURENICE K A
AFFILIATIONSThe University of Melbourne
ORCID0000-0001-6102-1292
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS1
WORKS AS AUTHOR9
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Intense drought and vegetation browning exacerbate air temperature rise in unirrigated peri-urban areas under global warming

    Open Access•Guillermo A Moncada-Morales, Stephen J Livesley et al.•ARTICLE•Sustainable Cities and Society•2025

  • Effects of city design on transport mode choice and exposure to health risks during and after a crisis

    Open Access•Kerry A Nice, Jason Thompson et al.•ARTICLE•The Lancet Planetary Health•2025•References: 8

  • Future-proofing cities against negative city mobility and public health impacts of impending natural hazards

    Open Access•Leandro Martin Totaro Garcia, Leandro Garcia et al.•ARTICLE•The Lancet Planetary Health•2025•Cited by: 1

  • Impacts of irrigation scheduling on urban green space cooling

    Open Access•Pui Kwan Cheung, Kerry A Nice et al.•ARTICLE•Landscape and Urban Planning•2024

    The increasing heat stress in cities due to climate change and urbanisation can prevent people from using urban green spaces. Irrigating vegetation is a promising strategy to cool urban green spaces in summer. Irrigation scheduling, such as daytime vs night-time irrigation and the frequency of irrigation in a day, may influence the cooling benefit of irrigation. This study aimed to investigate whether irrigation scheduling can be optimised to inc…

  • Developing urban biking typologies

    Open Access•Ben Beck, Meghan Winters et al.•ARTICLE•Environment and Planning B Urban…•2023

    Extensive research has been conducted exploring associations between built environment characteristics and biking. However, these approaches have often lacked the ability to understand the interactions of the built environment, population and bicycle ridership. To overcome these limitations, this study aimed to develop novel urban biking typologies using unsupervised machine learning methods. We conducted a retrospective analysis of travel survey…

  • Learning to walk

    Open Access•Gideon Aschwanden, Jasper S Wijnands et al.•ARTICLE•Environment and Planning B Urban…•2021

    Transportation mode distribution has a large implication on the resilience, economic output, social cost of cities and the health of urban residents. Recent advances in artificial intelligence and the availability of remote sensing data have opened up opportunities for bottom-up modeling techniques that allow understanding of how subtle differences in the urban fabric can impact transportation mode share distribution. This project presents a nove…

  • Estimating the cooling potential of irrigating green spaces in 100 global cities with arid, temperate or continental climates

    Open Access•Pui Kwan Cheung, Stephen J Livesley et al.•ARTICLE•Sustainable Cities and Society•2021

  • The “Paris-End” of Town? Deriving Urban Typologies Using Three Imagery Types

    Open Access•Kerry A Nice, Jason Thompson et al.•ARTICLE•Urban Science•2020•References: 6

    Urban typologies allow areas to be categorised according to form and the social, demographic, and political uses of the areas. The use of these typologies and finding similarities and dissimilarities between cities enables better targeted interventions for improved health, transport, and environmental outcomes in urban areas. A better understanding of local contexts can also assist in applying lessons learned from other cities. Constructing urban…

  • Streetscape augmentation using generative adversarial networks

    Open Access•Jasper S Wijnands, Kerry A Nice et al.•ARTICLE•Sustainable Cities and Society•2019

  • Future-proofing cities against negative city mobility and public health impacts of impending natural hazards

    Open Access•Leandro Martin Totaro Garcia, Leandro Garcia et al.•ARTICLE•The Lancet Planetary Health•2025•Cited by: 1

  • Streetscape augmentation using generative adversarial networks

    Open Access•Jasper S Wijnands, Kerry A Nice et al.•ARTICLE•Sustainable Cities and Society•2019

  • The “Paris-End” of Town? Deriving Urban Typologies Using Three Imagery Types

    Open Access•Kerry A Nice, Jason Thompson et al.•ARTICLE•Urban Science•2020•References: 6

    Urban typologies allow areas to be categorised according to form and the social, demographic, and political uses of the areas. The use of these typologies and finding similarities and dissimilarities between cities enables better targeted interventions for improved health, transport, and environmental outcomes in urban areas. A better understanding of local contexts can also assist in applying lessons learned from other cities. Constructing urban…

  • Learning to walk

    Open Access•Gideon Aschwanden, Jasper S Wijnands et al.•ARTICLE•Environment and Planning B Urban…•2021

    Transportation mode distribution has a large implication on the resilience, economic output, social cost of cities and the health of urban residents. Recent advances in artificial intelligence and the availability of remote sensing data have opened up opportunities for bottom-up modeling techniques that allow understanding of how subtle differences in the urban fabric can impact transportation mode share distribution. This project presents a nove…

  • Estimating the cooling potential of irrigating green spaces in 100 global cities with arid, temperate or continental climates

    Open Access•Pui Kwan Cheung, Stephen J Livesley et al.•ARTICLE•Sustainable Cities and Society•2021

  • Developing urban biking typologies

    Open Access•Ben Beck, Meghan Winters et al.•ARTICLE•Environment and Planning B Urban…•2023

    Extensive research has been conducted exploring associations between built environment characteristics and biking. However, these approaches have often lacked the ability to understand the interactions of the built environment, population and bicycle ridership. To overcome these limitations, this study aimed to develop novel urban biking typologies using unsupervised machine learning methods. We conducted a retrospective analysis of travel survey…

  • Impacts of irrigation scheduling on urban green space cooling

    Open Access•Pui Kwan Cheung, Kerry A Nice et al.•ARTICLE•Landscape and Urban Planning•2024

    The increasing heat stress in cities due to climate change and urbanisation can prevent people from using urban green spaces. Irrigating vegetation is a promising strategy to cool urban green spaces in summer. Irrigation scheduling, such as daytime vs night-time irrigation and the frequency of irrigation in a day, may influence the cooling benefit of irrigation. This study aimed to investigate whether irrigation scheduling can be optimised to inc…

  • Intense drought and vegetation browning exacerbate air temperature rise in unirrigated peri-urban areas under global warming

    Open Access•Guillermo A Moncada-Morales, Stephen J Livesley et al.•ARTICLE•Sustainable Cities and Society•2025

  • Effects of city design on transport mode choice and exposure to health risks during and after a crisis

    Open Access•Kerry A Nice, Jason Thompson et al.•ARTICLE•The Lancet Planetary Health•2025•References: 8

  • Future-proofing cities against negative city mobility and public health impacts of impending natural hazards

    Open Access•Leandro Martin Totaro Garcia, Leandro Garcia et al.•ARTICLE•The Lancet Planetary Health•2025•Cited by: 1

Computer Science (5 works) · Geography (5 works) · Medicine (4 works) · Urban Green Space and Health (4 works) · Urban Transport and Accessibility (4 works) · Ecology (3 works) · Engineering (3 works) · Environmental health (3 works) · Environmental Science (3 works) · Land Use and Ecosystem Services (3 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