Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/35572
Title: Demand Modeling for Responsive Transport Systems Using Digital Footprints
Authors: Silva, Paulo Alexandre Costa da 
Orientador: Bento, Carlos Manuel Robalo Lisboa
Keywords: DRT; Demand Modeling; Discrete Choice; Mobility; Social Networks
Issue Date: 7-Jul-2014
Serial title, monograph or event: Demand Modeling for Responsive Transport Systems Using Digital Footprints
Place of publication or event: Coimbra
Abstract: Regular public road transportation usually uses fixed routes and schedules, which may impair the mobility of potential users in rural areas and certain periods of the day in urban areas due to low and unpredictable demand. Demand Responsive Transport (DRT) tries to address these problems and improve community welfare, by using flexible routes and frequencies that vary with the actual observed demand, possibly adopting route solutions in real-time. These systems try to fill in the gap between traditional transportation service and the individual transportation. DRT services must try to be sustainable, make an efficient use of vehicles and respond to users mobility needs. Given the expected low number of requests, the application of traditional demand modeling methods is not adequate: usually, demand modeling for DRT requires a higher resolution zoning when compared to traditional transportation systems. We will need to analyze user’s short term land use patterns, with a careful analysis of available data, coming from collaborative platforms like Twitter and Foursquare.
Description: Dissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra
URI: http://hdl.handle.net/10316/35572
Rights: openAccess
Appears in Collections:UC - Dissertações de Mestrado
FCTUC Eng.Informática - Teses de Mestrado

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