Shawn W Laffan

Biographic Data

ID3063809
NAMEShawn W Laffan
GIVEN NAMESShawn W
FAMILY NAMELaffan
SIGNATURELAFFAN S W
AFFILIATIONSUNSW Sydney
ORCID0000-0002-5996-0570
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS5
WORKS AS AUTHOR7
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2008
LATEST PUBLICATION YEAR2025
H-INDEX1

  • Strategically identifying optimal locations for multifunctional green infrastructure

    Open AccessZih-Hong Lin, Shawn W Laffan et al.ARTICLELand Use Policy2025Cited by: 1References: 81

    Climate change has given rise to a multitude of challenges for both society and the environment. Implementing green infrastructure (GI) is regarded as a crucial policy strategy to mitigate these impacts. Numerous studies have been conducted to find optimal locations for implementing GI; however, selecting the most suitable context-specific strategy remains challenging. To address this gap, spatial multi-criteria evaluation (SMCE) and unsupervised…

  • The 30-min city and latent walking from mode shifts

    Open AccessLauren Del Rosario, Shawn W Laffan et al.ARTICLECities2024References: 46

    Greater public transport use may occur through meeting average travel times of 30 min or less, termed the “30-min city”. The quantification of public transport-related physical activity associated with the 30-min city is under-researched but needed to support policy interventions. In this study, latent walking steps associated with modal shifts from car use to public transport/walking are investigated using a synthetic population and trip plannin…

  • Land use change simulation and analysis using a vector cellular automata (CA) model

    Open AccessYi Lü, Shawn W Laffan et al.ARTICLEEnvironment and Planning B Urban…2020

    The loss of accuracy in vector-raster conversion has always been an issue for land use change models, particularly for raster based Cellular Automata models. Here we describe a vector-based cellular automata (CA) model that uses land parcels as the basic unit of analysis, and compare its results with a raster CA model. Transition rules are calibrated using an artificial neural network (ANN) and historical land use data. Using Ipswich City in Quee…

  • The Spatial Distribution of Chacma Baboon (Papio ursinus) Habitat Based on an Environmental Envelope Model

    Open AccessOlivia M L Stone, Shawn W Laffan et al.ARTICLEInternational Journal of…2013Cited by: 4References: 68

  • Distribution and population estimate for the chacma baboon (Papio ursinus) in KwaZulu-Natal, South Africa

    Open AccessOlivia M L Stone, Shawn W Laffan et al.ARTICLEPrimates2012

  • The Citation Relationships between Journals of Geography and Cognate Disciplines

    Open AccessShawn W LaffanARTICLEGeographical Research2010References: 26

    There is an ongoing debate concerning the relationship between the disciplinary ends of the broad spectrum that is geography and also the relationship between geography and other disciplines, including the extent to which it is self-focussed or inward looking. These issues were assessed using an analysis of citation relationships between journals in the Thompson Scientific Journal Citation Reports databases at the category level. Thirty-four cate…

  • Lexical similarity and endemism in historical wordlists of Australian Aboriginal languages of the greater Sydney region

    Open AccessCaroline Jones, Shawn W Laffan et al.ARTICLETransactions of the Philological…2008References: 8

    To reconstruct an indigenous language known solely from historical wordlists, the linguist needs to decide which source wordlists are most relevant, i.e. which sources are most likely to be attestations of the language to be reconstructed. There is little published research on methods appropriate to this task, and yet there is increasing attention to indigenous language reconstruction in support of language revival and revitalisation in education…