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The characteristics of asymmetric pedestrian behavior : A preliminary study using passive smartphone location data / Nick Malleson in Transactions in GIS, vol 22 n° 2 (April 2018)  

Public [article]  inTransactions in GIS > vol 22 n° 2 (April 2018) . - pp 616 - 634 Titre : The characteristics of asymmetric pedestrian behavior : A preliminary study using passive smartphone location data Type de document : Article/Communication Auteurs : Nick Malleson, Auteur ; Anthony Vanky, Auteur ; Behrooz Hashemian, Auteur ; Paolo Santi, Auteur ; Santosh K. Verma, Auteur ; et al., Auteur Année de publication : 2018 Article en page(s) : pp 616 - 634 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] chemin le plus court, algorithme du [Termes IGN] matrice [Termes IGN] piéton [Termes IGN] téléphone intelligent [Termes IGN] trace numérique Résumé : (Auteur) Understanding the movements of people is essential for the design and management of urban areas. This article presents a novel approach to understanding the asymmetry in route choice (i.e., the degree to which people choose different walking routes for their outbound and return journeys). The study utilizes a large volume of traces of individual routes, captured using a smartphone application. The routes are aggregated to a regular grid, and matrix statistics are developed to estimate the aggregate degree of route asymmetry for different types of route (shortest, longest, weekday, weekend, etc.). The results suggest that people change their route approximately 15% of the time. Although this varied little when observing trips made at the weekend or on a weekday, people taking journeys that deviated substantially from the shortest possible path were 6 percentage points less likely to change their routes than those taking journeys that were closest to the shortest path (14 and 20% asymmetry, respectively). The absolute length also impacted on the asymmetry of journeys, but not as substantially. This result is important because, for the first time, it reports a correlation between deviation from shortest route and aggregate pedestrian choice. Numéro de notice : A2018-218 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12336 Date de publication en ligne : 06/04/2018 En ligne : https://doi.org/10.1111/tgis.12336 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90010 [article]

The impact of using social media data in crime rate calculations: shifting hot spots and changing spatial patterns / Nick Malleson in Cartography and Geographic Information Science, Vol 42 n° 2 (April 2015)  

Public [article]  inCartography and Geographic Information Science > Vol 42 n° 2 (April 2015) . - pp 112 - 121 Titre : The impact of using social media data in crime rate calculations: shifting hot spots and changing spatial patterns Type de document : Article/Communication Auteurs : Nick Malleson, Auteur ; Martin A. Andresen, Auteur Année de publication : 2015 Article en page(s) : pp 112 - 121 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] infraction [Termes IGN] production participative [Termes IGN] réseau social [Termes IGN] Yorkshire (Angleterre) Résumé : (auteur) Crime rate is a statistic used to summarize the risk of criminal events. However, research has shown that choosing the appropriate denominator is non-trivial. Different crime types exhibit different spatial opportunities and so does the population at risk. The residential population is the most commonly used population at risk, but is unlikely to be suitable for crimes that involve mobile populations. In this article, we use “crowd-sourced” data in Leeds, England, to measure the population at risk, considering violent crime. These new data sources have the potential to represent mobile populations at higher spatial and temporal resolutions than other available data. Through the use of two local spatial statistics (Getis-Ord GI* and the Geographical Analysis Machine) and visualization, we show that when the volume of social media messages, as opposed to the residential population, is used as a proxy for the population at risk, criminal event hot spots shift spatially. Specifically, the results indicate a significant shift in the city center, eliminating its hot spot. Consequently, if crime reduction/prevention efforts are based on resident population based crime rates, such efforts may not only be ineffective in reducing criminal event risk, but be a waste of public resources. Numéro de notice : A2015-237 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2014.905756 En ligne : https://doi.org/10.1080/15230406.2014.905756 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76494 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2015021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

GIS Research UK (GISRUK) 2015 Proceedings / Nick Malleson (2015)  

Public Titre : GIS Research UK (GISRUK) 2015 Proceedings Type de document : Actes de congrès Auteurs : Nick Malleson, Éditeur scientifique ; Nicholas Addis, Éditeur scientifique ; Helen Durham, Éditeur scientifique ; Alison J. Heppenstall, Éditeur scientifique ; Robin Lovelace, Éditeur scientifique ; Paul Norman, Éditeur scientifique ; Rachel Oldroyd, Éditeur scientifique Editeur : Leeds [Royaume-Uni] : University of Leeds Année de publication : 2015 Conférence : GISRUK 2015, 23th GIS Research UK annual conference 15/04/2015 17/04/2015 Leeds Royaume-Uni open access proceedings Langues : Anglais (eng) Résumé : (éditeur) This volume contains the papers presented at GIS Research UK 2015 (GISRUK2015) held at the School of Geography, University of Leeds, on 15-17 April 2015 Numéro de notice : 17352 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Actes DOI : 10.6084/m9.figshare.1491375 En ligne : http://dx.doi.org/10.6084/m9.figshare.1491375 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83767

Contient

• Real time coupled network failure modelling and visualisation / Neil Harris (2015) 
• Understanding the urban experience of people with visual impairments / Panagiotis Mavros (2015) 
• Traffic prediction and analysis using a big data and visualisation approach / Declan McHugh (2015) 
• Beyond visualisation in 3D GIS / James Milner (2015) 
• Using mobile phone traces to understand activity and mobility in Dakar, Senegal / Ed Manley (2015) 
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