<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.4 20241031//EN"
        "https://jats.nlm.nih.gov/publishing/1.4/JATS-journalpublishing1-4.dtd">
<article  article-type="research-article"        dtd-version="1.4">
            <front>

                <journal-meta>
                                                                <journal-id>umtd</journal-id>
            <journal-title-group>
                                                                                    <journal-title>Uygulamalı Mühendislik ve Tarım Dergisi</journal-title>
            </journal-title-group>
                                        <issn pub-type="epub">3061-9696</issn>
                                                                                            <publisher>
                    <publisher-name>Konya Gıda ve Tarım Üniversitesi</publisher-name>
                </publisher>
                    </journal-meta>
                <article-meta>
                                        <article-id/>
                                                                <article-categories>
                                            <subj-group  xml:lang="en">
                                                            <subject>Information Modelling, Management and Ontologies</subject>
                                                            <subject>Simulation, Modelling, and Programming of Mechatronics Systems</subject>
                                                    </subj-group>
                                            <subj-group  xml:lang="tr">
                                                            <subject>Bilgi Modelleme, Yönetim ve Ontolojiler</subject>
                                                            <subject>Mekatronik Sistemlerin Simülasyonu, Modellenmesi ve Programlanması</subject>
                                                    </subj-group>
                                    </article-categories>
                                                                                                                                                        <title-group>
                                                                                                                        <article-title>Enhancing Airport Efficiency by Simulating Passenger Waiting Times</article-title>
                                                                                                                                        </title-group>
            
                                                    <contrib-group content-type="authors">
                                                                        <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0009-0009-2034-5755</contrib-id>
                                                                <name>
                                    <surname>Uyar</surname>
                                    <given-names>Mehmet Taha</given-names>
                                </name>
                                                                    <aff>KONYA GIDA VE TARIM ÜNİVERSİTESİ</aff>
                                                            </contrib>
                                                    <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0002-4063-2876</contrib-id>
                                                                <name>
                                    <surname>Gürsel</surname>
                                    <given-names>Güney</given-names>
                                </name>
                                                                    <aff>KONYA GIDA VE TARIM ÜNİVERSİTESİ</aff>
                                                            </contrib>
                                                                                </contrib-group>
                        
                                        <pub-date pub-type="pub" iso-8601-date="20240802">
                    <day>08</day>
                    <month>02</month>
                    <year>2024</year>
                </pub-date>
                                        <volume>1</volume>
                                        <issue>1</issue>
                                        <fpage>47</fpage>
                                        <lpage>51</lpage>
                        
                        <history>
                                    <date date-type="received" iso-8601-date="20240719">
                        <day>07</day>
                        <month>19</month>
                        <year>2024</year>
                    </date>
                                                    <date date-type="accepted" iso-8601-date="20240722">
                        <day>07</day>
                        <month>22</month>
                        <year>2024</year>
                    </date>
                            </history>
                                        <permissions>
                    <copyright-statement>Copyright © 2024, Uygulamalı Mühendislik ve Tarım Dergisi</copyright-statement>
                    <copyright-year>2024</copyright-year>
                    <copyright-holder>Uygulamalı Mühendislik ve Tarım Dergisi</copyright-holder>
                </permissions>
            
                                                                                                <abstract><p>In this study, a detailed simulation model of airport operations was developed using the SimPy library to analyze passenger waiting times at security, check-in, and boarding points. QuickPassenger was evaluated to reflect realistic scenarios of different passenger profiles, such as tourists and those requiring special assistance (e.g. disabled, pregnant). The primary objective was to evaluate how resource management and passenger prioritization affected overall waiting times. Simulation results showed that optimizing resource allocation significantly reduced wait times, especially at security checkpoints, which are often the bottlenecks. This study provides valuable information to airport managers to increase operational efficiency and improve passenger experiences through strategic resource planning and prioritization.</p></abstract>
                                                                                    
            
                                                            <kwd-group>
                                                    <kwd>Simulation</kwd>
                                                    <kwd>  Airport Operations</kwd>
                                                    <kwd>  Passenger Flow</kwd>
                                                    <kwd>  Waiting Times</kwd>
                                                    <kwd>  Resource Management</kwd>
                                            </kwd-group>
                                                        
                                                                                                                                                    </article-meta>
    </front>
    <back>
                            <ref-list>
                                    <ref id="ref1">
                        <label>1</label>
                        <mixed-citation publication-type="journal">Akpur, A. (2024). Adapting to the skies: evolution of qualified personnel in airline operations amid technological advancements. Worldwide Hospitality and Tourism Themes, 16(3), 13-24.</mixed-citation>
                    </ref>
                                    <ref id="ref2">
                        <label>2</label>
                        <mixed-citation publication-type="journal">Anagnostopoulou, A., Tolikas, D., Spyrou, E., Akac, A., &amp; Kappatos, V. (2024). The Analysis and AI Simulation of Passenger Flows in an Airport Terminal: A Decision-Making Tool. Sustainability, 16(3), 1346</mixed-citation>
                    </ref>
                                    <ref id="ref3">
                        <label>3</label>
                        <mixed-citation publication-type="journal">Avogadro, N., Birolini, S., Redondi, R., &amp; Deforza, P. (2024). Assessing airport ground access interventions: An integrated approach combining mode choice modeling and microscopic traffic simulation. Transport Policy, 148, 154-167.</mixed-citation>
                    </ref>
                                    <ref id="ref4">
                        <label>4</label>
                        <mixed-citation publication-type="journal">Gadzhimusieva, D., Gorelova, A., Beigbeder, S. M., &amp; Lledó, G. L. (2024). Enhancing Accessibility in Academic Buildings: A Discrete Event Simulation Approach for Robotic Assistance. IEEE Access.</mixed-citation>
                    </ref>
                                    <ref id="ref5">
                        <label>5</label>
                        <mixed-citation publication-type="journal">Ofoegbu, W. C., &amp; Felix, O. O. (2024). OPERATIONS MANAGEMENT AND ITS CRUCIAL ROLE TO STABILIZE THE NIGERIAN ECONOMY. GPH-International Journal of Business Management, 7(02), 46-58.</mixed-citation>
                    </ref>
                                    <ref id="ref6">
                        <label>6</label>
                        <mixed-citation publication-type="journal">Li, X., An, X., &amp; Zhang, B. (2024). Minimizing passenger waiting time in the multi-route bus fleet allocation problem through distributionally robust optimization and reinforcement learning. Computers &amp; Operations Research, 164, 106568.</mixed-citation>
                    </ref>
                                    <ref id="ref7">
                        <label>7</label>
                        <mixed-citation publication-type="journal">Liu, C., Chen, Y., Zhang, Y., Wang, H., Luo, Q., &amp; Chen, L. (2024). Reliable and robust scheduling of airport operation resources by simulation optimization feedback and conflict resolution. Neurocomputing, 573, 127212.</mixed-citation>
                    </ref>
                                    <ref id="ref8">
                        <label>8</label>
                        <mixed-citation publication-type="journal">Liu, Y., Hu, M., Yin, J., Su, J., &amp; Qiao, P. (2024). Adaptive airport taxiing rule management: Design, assessment, and configuration. Transportation Research Part C: Emerging Technologies, 163, 104652.</mixed-citation>
                    </ref>
                                    <ref id="ref9">
                        <label>9</label>
                        <mixed-citation publication-type="journal">Luo, M., Fricke, H., Desart, B., Zapata, S. R., &amp; Schultz, M. (2024) High-Fidelity Digital Twin Applied Agent-Based Model for Supporting Predictable Airport Ground Operations. Available at SSRN 4806351.</mixed-citation>
                    </ref>
                                    <ref id="ref10">
                        <label>10</label>
                        <mixed-citation publication-type="journal">Ma, X., He, Z., Yang, P., Liao, X., &amp; Liu, W. (2024). Agent-based modelling and simulation for life-cycle airport flight planning and scheduling. Journal of Simulation, 18(1), 15-28.</mixed-citation>
                    </ref>
                                    <ref id="ref11">
                        <label>11</label>
                        <mixed-citation publication-type="journal">Manataki, I. E., &amp; Zografos, K. G. (2009). A generic system dynamics based tool for airport terminal performance analysis. Transportation Research Part C: Emerging Technologies, 17(4), 428-443.</mixed-citation>
                    </ref>
                                    <ref id="ref12">
                        <label>12</label>
                        <mixed-citation publication-type="journal">Oudani, M., Zkik, K., Belhadi, A., Kamble, S., Sebbar, A., &amp; El Raoui, H. (2024). Organizational resilience of the airline industry using an Integrated epidemic and airline hub location model with traffic prediction. Annals of Operations Research, 1-26.</mixed-citation>
                    </ref>
                                    <ref id="ref13">
                        <label>13</label>
                        <mixed-citation publication-type="journal">Papatheodorou, A. (2021). A review of research into air transport and tourism: Launching the Annals of Tourism Research Curated Collection on Air Transport and Tourism. Annals of Tourism Research, 87, 103151.</mixed-citation>
                    </ref>
                                    <ref id="ref14">
                        <label>14</label>
                        <mixed-citation publication-type="journal">Scozzaro, G. (2024). Optimization of airport operations during access mode disruptions to improve passengers experience (Doctoral dissertation, Université de Toulouse).</mixed-citation>
                    </ref>
                                    <ref id="ref15">
                        <label>15</label>
                        <mixed-citation publication-type="journal">Xu, Y. (2024). Perspectives on Modelling Airline Integrated Scheduling Problem: a Review on State-of-the-Art Methodologies. Journal of the Air Transport Research Society, 100023</mixed-citation>
                    </ref>
                            </ref-list>
                    </back>
    </article>
