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Semantic enrichment of secondary activities using smart card data and point of interests: a case study in London / Nilufer Sari Aslam in Annals of GIS, vol 27 n° 1 (January 2021)  

Public [article]  inAnnals of GIS > vol 27 n° 1 (January 2021) . - pp 29 - 41 Titre : Semantic enrichment of secondary activities using smart card data and point of interests: a case study in London Type de document : Article/Communication Auteurs : Nilufer Sari Aslam, Auteur ; Di Zhu, Auteur ; Tao Cheng, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 29 - 41 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] carte à puce [Termes IGN] collecte de données [Termes IGN] données socio-économiques [Termes IGN] données spatiotemporelles [Termes IGN] enrichissement sémantique [Termes IGN] loisir [Termes IGN] Londres [Termes IGN] méthode heuristique [Termes IGN] planification urbaine [Termes IGN] point d'intérêt [Termes IGN] transport urbain Résumé : (auteur) The large volume of data automatically collected by smart card fare systems offers a rich source of information regarding daily human activities with a high resolution of spatial and temporal representation. This provides an opportunity for aiding transport planners and policy-makers to plan transport systems and cities more responsively. However, there are currently limitations when it comes to understanding the secondary activities of individual commuters. Accordingly, in this paper, we propose a framework to detect and infer secondary activities from individuals’ daily travel patterns from the smart card data and reduce the use of conventional surveys. First, we proposed a ‘heuristic secondary activity identification algorithm’, which uses commuters’ primary locations (home & work) and the direction (from & to) information to identify secondary activities for individuals. The algorithm provides a high-level classification of the activity types as before-work, midday and after-work activity patterns of individuals. Second, this classification is semantically enriched using Points of Interests to provide meaningful insights into individuals’ travel purposes and mobility in an urban environment. Lastly, using the transit data of London as a case study, the model is compared with a volunteer survey to demonstrate its effectiveness and offering a cost-effective method to travel demand research. Numéro de notice : A2021-319 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/19475683.2020.1783359 Date de publication en ligne : 01/08/2020 En ligne : https://doi.org/10.1080/19475683.2020.1783359 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97550 [article]

BIM/GIS integration for web GIS-based bridge management / Junxiang Zhu in Annals of GIS, vol 27 n° 1 (January 2021)  

Public [article]  inAnnals of GIS > vol 27 n° 1 (January 2021) . - pp 99 - 109 Titre : BIM/GIS integration for web GIS-based bridge management Type de document : Article/Communication Auteurs : Junxiang Zhu, Auteur ; Yi Tan, Auteur ; Wang Xiangyu, Auteur ; Peng Wu, Auteur Année de publication : 2021 Article en page(s) : pp 99 - 109 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] ArcGIS online [Termes IGN] Bâti-3D [Termes IGN] CityGML [Termes IGN] format Industry foudation classes IFC [Termes IGN] modélisation 3D du bâti BIM [Termes IGN] pont [Termes IGN] transformation géométrique [Termes IGN] WebSIG Résumé : (auteur) Integration of Building Information Modelling (BIM) and Geographic Information System (GIS) can benefit both the Architecture, Engineering and Construction/Facility Management (AEC/FM) domain, and the geospatial industry. For GIS, BIM is a promising source of three-dimensional (3D) building information that can be used in the study of smart city, green building, big data, etc. The underlying data transformation from Industry Foundation Classes (IFC) to shapefile enables GIS to use the rich building information. However, this transformation is difficult due to the different modelling methods used by IFC and shapefile. IFC generally represents 3D objects using boundary representation (Brep), swept solid, constructive solid geometry (CSG), clipping and mapped representation, while shapefile only uses Brep. In addition, the use of different coordinate systems also contributes to the geometry transformation issue. Among all the solid modelling methods used by IFC, Brep and swept solid are the most often used two methods. Compared with Brep, the transformation of swept solid is more challenging as each type of profile for swept solid defined in IFC has to be properly interpreted and converted. This paper develops algorithms to interpret the commonly used profiles of swept solid for the transformation of IFC into shapefile. A bridge model is used to validate the proposed method, and a Web GIS-based bridge management system is developed to demonstrate a possible usage of the transformed shapefile model. Numéro de notice : A2021-614 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/19475683.2020.1743355 Date de publication en ligne : 14/04/2020 En ligne : https://doi.org/10.1080/19475683.2020.1743355 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97552 [article]