A zonal inference model based on observed smart-card transactions for Santiago de Chile
Transportation Research Part A Policy and PracticePublished 19 November 2015Open access
Sebastián Tamblay, Patricia Galilea, Paula Iglesias, Sebastián Raveau, Juan Carlos Muñoz
Citations28
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TL;DR
A generic methodology that allows to infer the origin and destination zones for an observed trip between two public transport stops using socio-economic, land use, and network information, and shows that zones with high numbers of housing units have higher probabilities of being the origin of a morning peak trip.
Abstract
The collection of origin–destination data for a city is an important but often costly task. This way, there is a need to develop more efficient and inexpensive methods of collecting information about citizens’ travel patterns. In this line, this paper pre
Keywords
Social Sciences
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