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1	När resenären själv får välja : Lösning för ökat kollektivtrafikresande inom Uppsala län / When the travellers decide for themselves Ericson, Andreas, Olson, Molle January 2019 (has links) This thesis investigates the public transport system in the city of Uppsala in Sweden. This thesis bases itself on the fact that the development of a new ticketing and payment system is about to start. The purpose of the thesis is to help increase the number of journeys travelled with public transport. To achieve this, the goal of the thesis is to present a vision for UL’s new payment and ticketing system with concepts of interaction design in mind whilst investigating whether a simplified system might increase travel with public transport. The thesis uses surveys, interviews and usability testing of the present-day system. The opinions can be summarised such that people in general find difficulties in grasping the different fare zones of the public transport system and do therefore experience difficulties in buying the correct ticket for their specific journey. The new ticketing system should consist of a redesigned fare structure, where a complete removal of the fare zones would create perhaps the most intuitive ticketing system. The new ticketing system should also be able to handle contactless payments, easing the burden on bus drivers who will not need to issue tickets to passengers. In general, a downscaling of the current ticketing system is preferable to avoid confusing travellers. It is of the essence to consider the ticketing and payment system as a sociotechnical system since investigating neither technology nor people alone will lead to a successfully implemented system. They need to be investigated jointly. kollektivtrafik biljett- och betalsystem Region Uppsala Uppsala län användarcentrerad systemdesign enzonstaxa enhetstaxa sociotekniska system UL användbarhetstester interaktionsdesign behovsgrupper Human Computer Interaction
2	Binary classification for predicting propensity to buy flight tickets. : A study on whether binary classification can be used to predict Scandinavian Airlines customers’ propensity to buy a flight ticket within the next seven days. / Svensk titel: Binär klassificering applicerat på att prediktera benägenhet att köpa flygbiljetter. Andersson, Martin, Mazouch, Marcus January 2019 (has links) A customers propensity to buy a certain product is a widely researched field and is applied in multiple industries. In this thesis it is showed that using binary classification on data from Scandinavian Airlines can predict their customers propensity to book a flight within the next coming seven days. A comparison between logistic regression and support vector machine is presented and logistic regression with reduced number of variables is chosen as the final model, due to it’s simplicity and accuracy. The explanatory variables contains exclusively booking history, whilst customer demographics and search history is showed to be insignificant. / En kunds benägenhet att göra ett visst köp är ett allmänt undersökt område som applicerats i flera olika branscher. I den här studien visas det att statistiska binära klassificeringsmodeller kan användas för att prediktera Scandinavian Airlines kunders benägenhet att köpa en resa de kommande sju dagarna. En jämförelse är presenterad mellan logistisk regression och stödvektormaskin och logistisk regression med reducerat antal parametrar väljs som den slutgiltiga modellen tack vare sin enkelhet och träffsäkerhet. De förklarande variablerna är uteslutande bokningshistorik medan kundens demografi och sökdata visas vara insignifikant. statistics classification machine learning logistic regression support vector machine rbf significance prediction propensity to buy flight tickets ai artificiell intelligens walds test sas scandinavian airlines statistik klassificering maskininlärning logistic regression support vector machine rbf signifikans walds test prediktion benägenhet att köpa flight biljett flyg ai artificial intelligence sas scandinavian airlines Probability Theory and Statistics Sannolikhetsteori och statistik

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När resenären själv får välja : Lösning för ökat kollektivtrafikresande inom Uppsala län / When the travellers decide for themselves