The impact of a financial constraint on the spatial structure of public transport services
Author
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Jara Díaz, Sergio
Author
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Gschwender Krause, Antonio
es_CL
Author
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Ortega Tong, Meisy Andrea
es_CL
Admission date
dc.date.accessioned
2015-01-06T18:37:30Z
Available date
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2015-01-06T18:37:30Z
Publication date
dc.date.issued
2014
Cita de ítem
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Transportation (2014) 41:21–36
en_US
Identifier
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DOI 10.1007/s11116-013-9461-x
Identifier
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https://repositorio.uchile.cl/handle/2250/126932
General note
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Artículo de publicación ISI
en_US
Abstract
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Using a single line model, it has been shown recently that the presence of a
stringent financial constraint induces a less than optimal bus frequency and larger than
optimal bus size. This occurs because the constraint induces a reduction of the importance
of users’ costs (their time); in the extreme, users’ costs disappear from the design problem.
In this paper we show that such a constraint also has an impact on the spatial structure of
transit lines. This is done departing from the single line model using an illustrative urban
network that could be served either with direct services (no transfers) or with corridors
(transfers are needed). First, the optimal structure of lines is investigated along with
frequencies and vehicle sizes when the full costs for users and operators are minimized
(unconstrained case); the optimal lines structure is shown to depend upon the patronage
level, the values of time and the cost of providing bus capacity. Then the same problem is
solved for the extreme case of a stringent financial constraint, in which case users’ costs
have relatively little or no effect in determining the solution; in this case the preferred
outcome would be direct services under all circumstances, with lower frequencies and
larger bus sizes. The impact of the financial constraint on the spatial structure of transit
lines is shown to be caused by the reduction in cycle time under direct services; the
introduction of users’ costs in the objective function makes waiting times reverse this result
under some circumstances.
en_US
Patrocinador
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We thank funding by Fondecyt, Grant 1120316, and the Institute for Complex
Engineering Systems, Grants ICM:P-05-004-F and CONICYT:FBO16.