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Studying commuting behaviours using collaborative visual analytics / Roger Beecham in Computers, Environment and Urban Systems, vol 47 (September 2014)  

Public [article]  inComputers, Environment and Urban Systems > vol 47 (September 2014) . - pp 5 - 15 Titre : Studying commuting behaviours using collaborative visual analytics Type de document : Article/Communication Auteurs : Roger Beecham, Auteur ; Jo Wood, Auteur ; Audrey Bowerman, Auteur Année de publication : 2014 Article en page(s) : pp 5 - 15 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] analyse géovisuelle [Termes descripteurs IGN] analyse spatio-temporelle [Termes descripteurs IGN] cycliste [Termes descripteurs IGN] densité des points [Termes descripteurs IGN] estimation par noyau [Termes descripteurs IGN] Londres [Termes descripteurs IGN] migration pendulaire [Termes descripteurs IGN] mobilité urbaine [Termes descripteurs IGN] origine - destination [Vedettes matières IGN] Géovisualisation Résumé : (auteur) Mining a large origin–destination dataset of journeys made through London’s Cycle Hire Scheme (LCHS), we develop a technique for automatically classifying commuting behaviour that involves a spatial analysis of cyclists’ journeys. We identify a subset of potential commuting cyclists, and for each individual define a plausible geographic area representing their workplace. All peak-time journeys terminating within the vicinity of this derived workplace in the morning, and originating from this derived workplace in the evening, we label commutes. Three techniques for creating these workplace areas are compared using visual analytics: a weighted mean-centres calculation, spatial k-means clustering and a kernel density-estimation method. Evaluating these techniques at the individual cyclist level, we find that commuters’ peak-time journeys are more spatially diverse than might be expected, and that for a significant portion of commuters there appears to be more than one plausible spatial workplace area. Evaluating the three techniques visually, we select the density-estimation as our preferred method. Two distinct types of commuting activity are identified: those taken by LCHS customers living outside of London, who make highly regular commuting journeys at London’s major rail hubs; and more varied commuting behaviours by those living very close to a bike-share docking station. We find evidence of many interpeak journeys around London’s universities apparently being taken as part of cyclists’ working day. Imbalances in the number of morning commutes to, and evening commutes from, derived workplaces are also found, which might relate to local availability of bikes. Significant decisions around our workplace analysis, and particularly these broader insights into commuting behaviours, are discovered through exploring this analysis visually. The visual analysis approach described in the paper is effective in enabling a research team with varying levels of analysis experience to participate in this research. We suggest that such an approach is of relevance to many applied research contexts. Numéro de notice : A2014-798 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : http://dx.doi.org/10.1016/j.compenvurbsys.2013.10.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82467 [article]

GISRUK 2003, Proceedings of the GIS Research UK, 11th Annual Conference, 9th-11th April 2003, City University, London / Jo Wood (2003)

Public Titre : GISRUK 2003, Proceedings of the GIS Research UK, 11th Annual Conference, 9th-11th April 2003, City University, London Type de document : Actes de congrès Auteurs : Jo Wood, Editeur scientifique Congrès : GISRUK 2003, 11th GIS research UK annual conference (9 - 11 avril 2003; Londres, Royaume-Uni), Commanditaire Editeur : Londres : University College London Année de publication : 2003 Importance : 343 p. Format : 21 x 30 cm Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes descripteurs IGN] données localisées [Termes descripteurs IGN] incertitude des données [Termes descripteurs IGN] visualisation cartographique Note de contenu : - Geocomputation - Urban environments - Geomorphology - Managing social GI - Surfaces - Temporal geographic information - Uncertainty - Interoperability - Spatial and temporal analysis - GIS and the web - Located bases services - Remote sensing - Cartographic visualisation - Environmental applications - Posters Numéro de notice : 19773 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Actes Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84859

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
19773-01	CG2003	Livre	Centre de documentation	Congrès	Disponible