Modélisation de scenarios de mobilité prospectifs sur île-de-France a l' aide du modèle ANTONIN 3

Giouroukelis, Marios; Γιουρουκέλης, Μάριος

dc.contributor.author	Giouroukelis, Marios	en
dc.contributor.author	Γιουρουκέλης, Μάριος	el
dc.date.accessioned	2021-01-31T15:12:32Z
dc.date.available	2021-01-31T15:12:32Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/52839
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.20537
dc.rights	Default License
dc.subject	PCA	en
dc.subject	Transport	en
dc.subject	ANTONIN	en
dc.subject	Modeling	en
dc.subject	Sensitivity	en
dc.subject	Συγκοινωνίες	el
dc.subject	Προσομοίωση	el
dc.subject	Παρίσι	el
dc.subject	Αστικές	el
dc.subject	Ποσοτικές	el
dc.title	Modélisation de scenarios de mobilité prospectifs sur île-de-France a l' aide du modèle ANTONIN 3	fr
heal.type	bachelorThesis	el
heal.classification	ΣΥΓΚΟΙΝΩΝΙΕΣ	el
heal.language	en	el
heal.access	free	el
heal.recordProvider	ntua	el
heal.publicationDate	2020-12-18
heal.abstract	Public transit modeling is probably one of the most efficient ways of evaluating “in vitro” the effects of the proposed investments in transportation projects, which are capital intensive, slow in their execution and involve a vast range of stakeholders with often conflicting needs. During my internship within Île-de-France Mobilités, the Paris‟ public transport authority, I had the opportunity to work with Antonin 3, one of the most advanced modeling solutions. The document follows the chronological order of my three main missions. It starts with a diagnostic of public transit gaps: using a rigorous mathematical approach which combines an accessibility analysis from an employment point of view, and a Principal Component Analysis which succeeds in providing an objective socioeconomic assessment of the different sectors inside Île-de-France, the methodology proposes an intuitive list of zones facing isolation issues in 2035. This first mission is followed by a sensitivity analysis of Antonin 3: a series of elasticities is calculated and commented on, with the aim of discovering which inputs weight heavier on the results of the model and thus need to be thoroughly refined. Finally, the insights of the sensitivity analysis are used in order to model four forecasting scenarios: a possible reduction of the speed limit of the Boulevard Périphérique, the effects of a fare-free public transit inside Île-de-France, a tightening of the parking space availability inside Paris and the effects of a “rebalance” of the employment positions between the east and the west of Île-de-France.	el
heal.advisorName	Γιαννής, Γιώργος	el
heal.committeeMemberName	Γιώργος Γιαννής	el
heal.committeeMemberName	Nicolas Boichon	fr
heal.committeeMemberName	Alexis Poulhès	fr
heal.committeeMemberName	Jean Christophe Bureau	fr
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Πολιτικών Μηχανικών	el
heal.academicPublisherID	ntua	el
heal.numberOfPages	75	el
heal.fullTextAvailability	false