dc.contributor.author |
Kepaptsoglou, K |
en |
dc.contributor.author |
Karlaftis, MG |
en |
dc.date.accessioned |
2014-03-01T01:32:03Z |
|
dc.date.available |
2014-03-01T01:32:03Z |
|
dc.date.issued |
2009 |
en |
dc.identifier.issn |
1866749X |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/20039 |
|
dc.subject |
Bus bridging |
en |
dc.subject |
Bus route design |
en |
dc.subject |
Conceptual framework |
en |
dc.subject |
Decision support system |
en |
dc.subject |
Metro network disruption |
en |
dc.subject.other |
Bus route design |
en |
dc.subject.other |
Bus services |
en |
dc.subject.other |
Conceptual frameworks |
en |
dc.subject.other |
Integrated optimization |
en |
dc.subject.other |
Level of Service |
en |
dc.subject.other |
Methodological frameworks |
en |
dc.subject.other |
Metro network disruption |
en |
dc.subject.other |
Metro networks |
en |
dc.subject.other |
Metro stations |
en |
dc.subject.other |
Optimization models |
en |
dc.subject.other |
Public transportation systems |
en |
dc.subject.other |
Rapid degradation |
en |
dc.subject.other |
Transportation services |
en |
dc.subject.other |
Urban areas |
en |
dc.subject.other |
Algorithms |
en |
dc.subject.other |
Artificial intelligence |
en |
dc.subject.other |
Bus transportation |
en |
dc.subject.other |
Decision making |
en |
dc.subject.other |
Decision support systems |
en |
dc.subject.other |
Decision theory |
en |
dc.subject.other |
Mathematical models |
en |
dc.subject.other |
Metropolitan area networks |
en |
dc.subject.other |
Optimization |
en |
dc.subject.other |
Subway stations |
en |
dc.subject.other |
Transportation routes |
en |
dc.subject.other |
Urban planning |
en |
dc.subject.other |
Buses |
en |
dc.title |
The bus bridging problem in metro operations: Conceptual framework, models and algorithms |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1007/s12469-010-0017-6 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1007/s12469-010-0017-6 |
en |
heal.publicationDate |
2009 |
en |
heal.abstract |
Metro networks provide efficient transportation services to large numbers of travelers in urban areas around the World; any unexpected operational disruption can lead to rapid degradation of the provided level of service by a city's public transportation system. In such instances, quick and efficient substitution of services is necessary for accommodating metro passengers including the widely used practice of ""bridging"" metro stations using bus services. Despite its widespread application, bus bridging is largely done ad-hoc and not as part of an integrated optimization procedure. In this paper we propose a methodological framework for planning and designing an efficient bus bridging network. Furthermore, we offer a set of structured steps and optimization models and algorithms for handling bus bridging problems. © 2010 Springer-Verlag. |
en |
heal.journalName |
Public Transport |
en |
dc.identifier.doi |
10.1007/s12469-010-0017-6 |
en |
dc.identifier.volume |
1 |
en |
dc.identifier.issue |
4 |
en |
dc.identifier.spage |
275 |
en |
dc.identifier.epage |
297 |
en |