Metro servis sistemlerinde acil tahliye modelleri: İzmir metro uygulaması

Büyük şehirlerde nüfus yoğunluğunun her geçen gün artması ulaşım sorununu da beraberinde getirmektedir. Kalabalık trafik için toplu taşıma etkin bir çözüm olmaktadır. Toplu taşıma için hızlı ve verimli bir alternatif olan metro sistemi diğer alternatiflere göre ağırlıklı bir şekilde tercih edilmektedir. Ancak metro sisteminin genellikle yeraltında olması, çok fazla sayıda insanın taşınması ve giriş-çıkış noktalarının turnikelerle kontrol edilmesi, metro vagonlarında, metro hattında ve metro istasyonlarında oluşabilecek bir felakette insanların tahliye edilmesini zorlaştırmaktadır. Bir acil durumda insanların sistemden ne kadar sürede tahliye edilebileceğini bilmek önem arz etmektedir. Bu çalışmada, İzmir metro sisteminde en kalabalık istasyonlardan biri olan Konak istasyonu acil tahliye modelleri kullanılarak incelenmiş ve tahliye simülasyonu Simulex programıyla oluşturulmuştur. Acil durum tahliyesi 3 farklı senaryo ile modellenmiş ve çözüm önerileri geliştirilmiştir.

Anahtar Kelimeler:

Sistem geliştirme, Acil tahliye modelleri, Simülasyon

Emergency evacuation models in subway service systems: An application on Izmir (Turkey) subway system

Increasing population in crowded cities causes transportation problems. Public transportation is an effective solution for the crowded traffic. Subway is a fast and productive alternative for public transportation so it is a highly preferable choice in others. It is hard to evacuate people in subway station during a disaster in carriages, on subway line or in subway stations because subway systems are often located underground, a lot people use it at the same time and enter-exit gates are controlled by turnstiles. It is crucially important to know the evacuation time of people from subway. In this paper, Konak station, one of the most crowded stations of Izmir Subway System is analyzed by emergency evacuation models. The evacuation process is simulated by Simulex software. The emergency evacuation problem is modeled in three different scenarios. Solution offers are developed for them.

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