Modeling of Airport Check-in Units Architectural Design and Processing Time Standards with Fuzzy Approach
There is a number of architectural problems that airports must meet such as ensuring the circulation of passengers in terminal building quickly and shortening the time between flights. This is related to the concept of level of service (LOS) which aims to keep passengers in circulation at an afforda...
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Published in | Bartın University International Journal of Natural and Applied Sciences |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
04.10.2023
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Online Access | Get full text |
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Summary: | There is a number of architectural problems that airports must meet such as ensuring the circulation of passengers in terminal building quickly and shortening the time between flights. This is related to the concept of level of service (LOS) which aims to keep passengers in circulation at an affordable cost with minimum delay and maximum comfort without being exposed to congestion. LOS standards have been developed by the International Air Transport Association (IATA) for density analysis of airport terminal buildings. However, with the increase in capacities and user density, there are gradual decreases in standards with sharp boundaries, and this situation is true in the context of strict limits but does not fully reflect reality. Besides, a fuzzy assumption has been made to the issue, both due to the fact that LOS are set with different values in standards published in different years, and to allow rapid and efficient analysis of density changes in unexpected situations. Within the scope of the study, the LOS standards of the check-in areas and sub-functions which are used extensively and host a large number of passengers are modeled in matlab program by means of fuzzy logic. Four independent mathematical models were created: a design decision support model for the architectural design related to the check-in section, and three models for the check-in sub-functions, processing times and areas for business performance. In the models, output data were obtained for each input data and LOS could be determined by interpreting these outputs degree of representation. |
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ISSN: | 2667-5048 2667-5048 |
DOI: | 10.55930/jonas.1274797 |