Centre de documentation
scientifique

Extracting commuter-specific destination hotspots from trip destination data – comparing the boro taxi service with Citi Bike in NYC / Andreas Keler in Geo-spatial Information Science, vol 23 n° 2 (June 2020)  

Public [article]  inGeo-spatial Information Science > vol 23 n° 2 (June 2020) . - pp 141 - 152 Titre : Extracting commuter-specific destination hotspots from trip destination data – comparing the boro taxi service with Citi Bike in NYC Type de document : Article/Communication Auteurs : Andreas Keler, Auteur ; Jukka Mathias Krisp, Auteur ; Linfang Ding, Auteur Année de publication : 2020 Article en page(s) : pp 141 - 152 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] bicyclette [Termes IGN] données spatiotemporelles [Termes IGN] migration pendulaire [Termes IGN] mobilité urbaine [Termes IGN] New York (Etats-Unis ; ville) [Termes IGN] origine - destination [Termes IGN] qualité de service [Termes IGN] taxi [Termes IGN] trajet (mobilité) [Termes IGN] transport urbain Résumé : (auteur) Taxi trajectories from urban environments allow inferring various information about the transport service qualities and commuter dynamics. It is possible to associate starting and end points of taxi trips with requirements of individual groups of people and even social inequalities. Previous research shows that due to service restrictions, boro taxis have typical customer destination locations on selected Saturdays: many drop-off clusters appear near the restricted zone, where it is not allowed to pick up customers and only few drop-off clusters appear at complicated crossing. Detected crossings imply recent infrastructural modifications. We want to follow up on these results and add one additional group of commuters: Citi Bike users. For selected Saturdays in June 2015, we want to compare the destinations of boro taxi and Citi Bike users. This is challenging due to manifold differences between active mobility and motorized road users, and, due to the fact that station-based bike sharing services are restricted to stations. Start and end points of trips, as well as the volumes in between rely on specific numbers of bike sharing stations. Therefore, we introduce a novel spatiotemporal assigning procedure for areas of influence around static bike sharing stations for extending available computational methods. Numéro de notice : A2020-316 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10095020.2019.1621008 Date de publication en ligne : 10/06/2019 En ligne : https://doi.org/10.1080/10095020.2019.1621008 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95175 [article]

Car navigation – computing routes that avoid complicated crossings / Jukka Mathias Krisp in International journal of geographical information science IJGIS, vol 29 n° 11 (November 2015)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 29 n° 11 (November 2015) . - pp 1988 - 2000 Titre : Car navigation – computing routes that avoid complicated crossings Type de document : Article/Communication Auteurs : Jukka Mathias Krisp, Auteur ; Andreas Keler, Auteur Année de publication : 2015 Article en page(s) : pp 1988 - 2000 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement [Termes IGN] calcul d'itinéraire [Termes IGN] itinéraire [Termes IGN] navigation automobile [Termes IGN] service fondé sur la position [Termes IGN] temps réel Résumé : (Auteur) Personalized navigation and way-finding are prominent research areas of location-based service (LBSs). This includes innovative concepts for car navigation. Within this paper, we investigate the idea of providing drivers a routing suggestion which avoids ‘complicated crossings’ in urban areas. Inexperienced drivers include persons who have a driver’s license but, for whatever reason, feel uncomfortable to drive in a city environment. Situations where the inexperienced driver has to depend on a navigation device and reach a destination in an unfamiliar territory may be difficult. Preferences of inexperienced drivers are investigated. ‘Fears’ include driving into ‘complicated crossings’. Therefore, the definition and spatial characteristics of ‘complicated crossings’ are investigated. We use OpenStreetMap as a road dataset for the routing network. Based on the topological characteristics of the dataset, measured by the number of nodes, we identify crossings that are ‘complicated’. The user can choose to compute an alternative route that avoids these complicated crossings. This methodology is one step in building a full ‘inexperienced drivers’ routing system, which includes additional preferences from the user group, for example, as avoiding left turns where no traffic light is present. Numéro de notice : A2015-616 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1053485 En ligne : https://doi.org/10.1080/13658816.2015.1053485 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78085 [article]