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https://hdl.handle.net/11499/4734
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Haldenbilen, Soner | - |
dc.contributor.author | Ceylan, Halim | - |
dc.date.accessioned | 2019-08-16T11:36:44Z | |
dc.date.available | 2019-08-16T11:36:44Z | |
dc.date.issued | 2005 | - |
dc.identifier.issn | 0308-1060 | - |
dc.identifier.uri | https://hdl.handle.net/11499/4734 | - |
dc.identifier.uri | https://doi.org/10.1080/03081060500515507 | - |
dc.description.abstract | This article proposes new models for estimating transport demand using a genetic algorithm (GA) approach. Based on population, gross national product and number of vehicles, four forms of the genetic algorithm transport planning (GATP) model are developed - one exponential and the others taking quadratic forms - and applied to Turkey. The best fit models in terms of minimum total average relative errors in the test period are selected for future estimation. Demand management strategies are proposed based on three scenarios: restricting private car use, restricting truck use and the simultaneous management of private car use and goods movement. Results show that the GATP model may be used to estimate transport demand in terms of passenger-kilometers traveled (pass-km), vehicle-kilometers traveled (veh-km) and ton-kilometers completed (ton-km). Results also show that the third scenario - simultaneous restrictions on private car use and goods movement - could reduce total veh-km by about 35% by 2025 in this study of Turkish rural roads. © 2005 Taylor & Francis. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Transportation Planning and Technology | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Demand estimation | en_US |
dc.subject | Demand management | en_US |
dc.subject | Genetic algorithm | en_US |
dc.subject | Transport planning | en_US |
dc.subject | Turkey | en_US |
dc.subject | Genetic algorithms | en_US |
dc.subject | Highway administration | en_US |
dc.subject | Highway planning | en_US |
dc.subject | Mathematical models | en_US |
dc.subject | Vehicles | en_US |
dc.subject | Transport demand management | en_US |
dc.subject | Motor transportation | en_US |
dc.subject | demand analysis | en_US |
dc.subject | estimation method | en_US |
dc.subject | genetic algorithm | en_US |
dc.subject | transportation planning | en_US |
dc.subject | Eurasia | en_US |
dc.title | Transport demand management in Turkey: A genetic algorithm approach | en_US |
dc.type | Article | en_US |
dc.identifier.volume | 28 | en_US |
dc.identifier.issue | 6 | en_US |
dc.identifier.startpage | 403 | |
dc.identifier.startpage | 403 | en_US |
dc.identifier.endpage | 426 | en_US |
dc.authorid | 0000-0002-6548-6481 | - |
dc.authorid | 0000-0002-4616-5439 | - |
dc.identifier.doi | 10.1080/03081060500515507 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopus | 2-s2.0-33645122189 | en_US |
dc.identifier.wos | WOS:000236551600001 | en_US |
dc.identifier.scopusquality | Q2 | - |
dc.owner | Pamukkale_University | - |
item.grantfulltext | none | - |
item.openairetype | Article | - |
item.cerifentitytype | Publications | - |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | 10.02. Civil Engineering | - |
crisitem.author.dept | 10.02. Civil Engineering | - |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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