Kentiçi otobüs taşımacılığında özelleştirme için bir karar destek modeli önerisi: Eskişehir örneği

Kentlerde ulaştırma hizmetleri genellikle yerel yönetimlerce gerçekleştirilmektedir. Yerel yönetimler çeşitli sebeplerle kentliye sundukları taşıma hizmetinde yetersiz kalmışlardır. Başka sektörlerde olduğu gibi ulaştırma sektöründe de özelleştirme bir çözüm olarak ortaya çıkmıştır. Ulaştırmada özelleştirme, ulaşım alt yapısının özel işletmecilerle kullanılması olup büyük harcamalarla gerçekleştirilen altyapının verimli şekilde kullanılması yanında, yolcuların sunulan taşıma hizmetinden memnun kalmaları ve bunlarda sürekliliğin sağlanmasının önemi büyüktür. Çalışmada, kentiçi toplu taşıma hizmetinin' özelleştirilmesi için bir karar destek modeli ortaya konması amaçlanmıştır. Bulanık mantık, istatistik yöntem ve electre yöntemi kullanılmıştır. Eskişehir ilindeki taşımalardan elde edilen veriler kullanılmıştır.

A decision support model proposal for privatization of public bus transportation: Eskişehir sample

People have been very closely interested in transportation that is very important for their lives for a long time and they have used various vehicles for their transportation. On the otherhand, public transportation is generally carried out by local authorities in cities. However, they haven't been able to accomplish the required duties that they present to their citizens. Therefore, privatization has appeared as a solution in the transportation sectors like the other sectors. However, privatization in transportation means using the substructure with private sectors and it is important to use the substructure which has been accomplished with great dispenses profitably. Besides, the appreciation of travellers and the continuity of this service is essential as well. In this study, a model about the privatization of public transportation service was proposed. Fuzzy logic method, statistical method and electre method were used for the model. The data obtained from transportation in Eskişehir where privatization is practiced were used. Four groups were formed for participation decision making. These groups were formed from a user, an expert, an administrator and some non-governmental organizations. Final decisions of these groups were combined by using the span method. At the same time, the demand analysis was realised so as to determine the net income of the administrators. The data were collected by stated preferences method and the demand for buses was estimated.

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