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Toplu Taşımada Yatırım Kararlarının Veri Madenciliği Yöntemiyle Desteklenmesi
2021
Journal:  
Avrupa Bilim ve Teknoloji Dergisi
Author:  
Abstract:

Akıllı şehir, son zamanlarda ülkemizde ve dünyada önem kazanan bir yaklaşım olarak ön plana çıkmaktadır. Daha iyi yaşam alanları oluşturmak ve hayata değer katan şehirler inşa etmek amacıyla akıllı şehir alanındaki çalışmalar ivme kazanmıştır. Şehirlerde yapılan bu çalışmalar sayesinde sosyal yaşam için sunulan imkân ve fırsatlar da gelişmektedir. Tüm insanlar bu imkân ve fırsatlardan eşit derecede yararlanma hakkına sahiptir ve sosyal yapı içinde gelişerek varlıklarını sürdürebilmelidir. Engelli bireylerin, sosyal yaşamda rolünü alması, sınırlarının genişletilmesi ve yaşamlarını engelsiz sürdürebilmeleri, ulaşılabilir çevre koşullarının sağlanabileceği planlama, tasarım ve engelli bireylerin gereksinimlerinin göz önünde bulundurulduğu uygulamalar ile mümkündür. Bu çalışmada, engelli bireylerin, kamuya ait İzmir ili şehir içi toplu taşıma otobüsleri ile sağlanan ulaşım imkânlarını ve konforlarını artırmaya yönelik yapılması planlanmış teknolojik yatırımların, hangi durak lokasyonlarına ve hangi otobüs hatlarına yapılması gerektiği, akıllı şehir uygulamalarından ve veri madenciliği yönteminden faydalanılarak araştırılmıştır. Akıllı kartlardan alınan veriler, veri madenciliği yöntemleriyle analiz edilerek engelli yolcuların kullandığı otobüs hatları ve duraklar, nitelikleri önceden belirlenmiş üç ayrı sınıfa ayrılmıştır. Planlanan yatırım adetleri göz önünde bulundurularak, yatırımın yapılacağı lokasyon ve hatlar, bu sınıfların niteliklerine göre belirlenmiştir. Veri madenciliği yöntemi ve çok kriterli karar verme yöntemlerinden biri olan Analitik Hiyerarşi Prosesi (AHP) yöntemi kullanılarak oluşturulan ABC sınıflandırmasının, toplu taşıma hizmeti veren kurumun daha sonraki yatırım planlamaları ve periyodik kontrol mekanizmaları için de faydalı olacağı öngörülmektedir.

Keywords:

Supporting investment decisions in mass transportation by data mining method
2021
Author:  
Abstract:

Smart cities have recently come to the forefront as an important approach in our country and in the world. The work in the smart city field has gained impulse in order to create better living spaces and build cities that add vital value. Through this work in cities, opportunities and opportunities offered for social life are also developing. All people have the right to equally benefit from these possibilities and opportunities, and they must be able to continue their existence by developing within the social structure. It is possible for persons with disabilities to take a role in social life, to expand their boundaries and to maintain their lives without obstacles, with the planning, design and practices where the needs of persons with disabilities are taken into account, where accessible environmental conditions can be provided. In this study, planned technological investments aimed at improving the possibilities of transport and comfort of disabled individuals, the public of Izmir or the city's public public transport buses, which stop locations and which bus lines should be done, the use of smart city applications and the method of data mining. The data obtained from the smart cards, the bus lines and stations used by disabled passengers by data mining methods, and their qualities are divided into three distinct categories that have been specified in advance. Given the planned investments, the locations and lines where the investment will be made are determined according to the qualities of these classes. The ABC classification created using the method of data mining and the method of analytical hierarchy process (AHP), which is one of the multi-criteria decision-making methods, is expected to be beneficial for the subsequent investment plans and periodic control mechanisms of the public transport service provider.

Keywords:

Supporting Investment Decisions In Public Transport With Data Mining Method
2021
Author:  
Abstract:

The smart city has recently come to the fore as an approach that has gained importance in our country and in the world. To create better living spaces and build cities that add value to life, studies in the field of smart cities have gained momentum. Owing to these studies carried out in cities, the opportunities and chances offered for social life are developing as well. All people have the right to benefit from these opportunities and chances equally and they should be able to develop and survive within the social structure. Disabled individuals taking their role in social life, expanding their borders and enabling them to continue their lives unhindered is possible with planning, design and practices that take into account the needs of disabled individuals, where accessible environmental conditions can be provided. In this study, the technological investments planned to be made to increase the transportation opportunities and comfort provided by public transportation buses in İzmir province to which locations and bus lines has been researched by using smart city applications and data mining method. Bus lines and stops used by disabled passengers have been divided into three classes with predetermined qualifications by analyzing the data taken from smart cards according to data mining methods. Considering the planned investment numbers, the locations and lines where the investment will be made are determined according to the characteristics of these classes. The ABC classification that is created by using the data mining method is expected to be useful for the public transport company's further investment planning and periodic control mechanisms.

Keywords:

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Avrupa Bilim ve Teknoloji Dergisi

Field :   Fen Bilimleri ve Matematik; Mühendislik

Journal Type :   Uluslararası

Metrics
Article : 3.175
Cite : 5.603
2023 Impact : 0.178
Avrupa Bilim ve Teknoloji Dergisi