This paper aims to provide a comprehensive literature mapping for shuttle bus routing in different functional application areas. For this purpose, articles which were published in the last 20 years were systematically reviewed. Selected papers related to the topic were classified by their publication year, type of publication, solution approach, application area, usage of mathematical model and objective function. The existing articles were reviewed based on their functional application areas of employee/personnel, patient/hospital, students, elderly/disabled, and airport shuttles. The results of our analysis indicate that there has been an increasing movement in the usage of shuttle bus routing models through the recent years. This study therefore identifies this increasing attention to the topic as well as recent trends, and highlights research opportunities and literature gaps for future research.Bu makale servis otobüsü rotalama modellerinin farklı uygulama alanlarında yapılmış olan çalışmalara ilişkin kapsamlı bir literatür haritalaması sağlamayı amaçlamaktadır. Bu amaçla son 20 yılda yayımlanan makaleler sistematik olarak gözden geçirilmiştir. Konu ile ilgili seçilen makaleler, yayın türü, yayın yılı, çözüm yöntemi, uygulama alanı, matematiksel model kullanımı ve amaç fonksiyonlarına göre sınıflandırılmıştır. Literatürde yer alan çalışmalar çalışan/personel, hasta/hastane, öğrenci, yaşlı/engelli ve havaalanı servisleri şeklinde ayrılmış olan fonksiyonel uygulama alanlarında ayrıntılı olarak incelenmiştir. İnceleme sonuçlarımız son yıllarda servis otobüsü rotalama konusunda yayımlanan modellerin kullanımlarında artış eğilimi olduğunu göstermektedir. Dolayısıyla bu çalışma son yıllarda konuya dair artan ilgiyi ve yeni araştırma alanlarını işaret ederek, gelecekte yapılacak çalışmalar için araştırma fırsatlarını ve alandaki literatür boşluklarını vurgulamaktadır.

This paper describes the real-life application of a personnel service shuttle routing problem. The problem in question is a type of vehicle routing problem with special constraints. To solve the problem, a mathematical model was developed, which aims to minimize the total travel time of employees, including the walking times to the shuttle-stops and the times spent on the shuttles. These times were added in the model by considering the times between the designated stops, the times each shuttle spends on each stop and the total travel times of the shuttles from the starting points to the destination point. The goal programming model was coded and solved using the commercial solver IBM ILOG CPLEX Optimization Studio. The actual times between the shuttle bus stops and the employee walking times were calculated according to the real-life data provided by the company. The walking times of the employees to the bus stops were also regulated via the inclusion of some set covering constraints in the model. When the numerical results from the model were compared to the current practice of the company, it has been observed that the savings in total travel time were quite significant.