Journal of Air Transport Management最新文献_第7页

A life cycle assessment of electric towing vehicle routing problem with time windows: Three-stage linear charging and partial charging strategy 带时间窗的电动拖曳车辆路径问题生命周期评估：三阶段线性充电和部分充电策略

IF 3.6 2区工程技术 Q2 TRANSPORTATION

Journal of Air Transport Management

Pub Date : 2025-09-13 DOI: 10.1016/j.jairtraman.2025.102908

Danwen Bao , Jiajun Chu , Yuting Chen , Yu Yan

With the increasing demand for air travel, replacing fuel-powered towing vehicles (FTVs) with electric towing vehicles (ETVs) is a proven strategy for reducing airport ground service costs. The effective deployment and operation of these ETV fleets heavily rely on sophisticated optimization models to manage their daily scheduling and charging. However, previous optimization models often overlook comprehensive life cycle assessment (LCA) and employ simplified charging assumptions, limiting their accuracy and practical applicability. This study addresses these gaps by introducing an innovative Electric Towing Vehicle Routing Problem with Time Windows considering Life Cycle (ETVRPTW-LC) model, categorizing life cycle costs into fixed, operational, and environmental costs. Furthermore, integrating a three-stage linear charging and partial charging strategy enhances model fidelity by more accurately simulating the non-linear and operational realities of ETV recharging compared to traditional linear or full-charge approaches. The Adaptive Large Neighbourhood Search (ALNS) algorithm and Simulated Annealing (SA) algorithm are applied to address local optimality. Numerical experiments, using data from Nanjing Lukou International Airport across three scenarios, demonstrate key findings: (1) ETVs achieve a 5 %–10 % cost advantage over FTVs when considering life cycle costs. (2) ETV costs are concentrated in pre-operation and post-operation phases, while fuel-powered costs dominate the operational phase. Additionally, sensitivity analysis evaluates the impact of key operational parameters on life cycle costs. The results provide airport managers with optimized strategies for towing operations for cost efficiency and airport decarbonization.

随着航空旅行需求的增加，用电动拖曳车（etv）取代燃油拖曳车（ftv）是降低机场地面服务成本的一种行之有效的策略。这些ETV车队的有效部署和运营在很大程度上依赖于复杂的优化模型来管理他们的日常调度和收费。然而，以往的优化模型往往忽略了综合生命周期评估（LCA），采用了简化的收费假设，限制了其准确性和实用性。本研究通过引入创新的考虑生命周期时间窗的电动拖车路径问题（ETVRPTW-LC）模型，将生命周期成本分为固定成本、运营成本和环境成本，解决了这些差距。此外，与传统的线性或完全充电方法相比，集成三阶段线性充电和部分充电策略可以更准确地模拟ETV充电的非线性和操作现实，从而提高模型的保真度。采用自适应大邻域搜索（ALNS）算法和模拟退火（SA）算法求解局部最优性。利用南京禄口国际机场三种场景的数据进行数值实验，得出了主要结论：(1)在考虑生命周期成本时，etv比ftv实现了5% - 10%的成本优势。(2) ETV成本集中在运行前和运行后阶段，而燃料动力成本在运行阶段占主导地位。此外，敏感性分析评估了关键运行参数对生命周期成本的影响。研究结果为机场管理者提供了拖曳作业的优化策略，以提高成本效率和机场脱碳。

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引用次数: 0

Assessing public acceptance of urban air mobility: Behavioral insights 评估公众对城市空中交通的接受程度：行为洞察

IF 3.6 2区工程技术 Q2 TRANSPORTATION

Journal of Air Transport Management

Pub Date : 2025-09-13 DOI: 10.1016/j.jairtraman.2025.102907

Fatemeh Nazari , Mohamadhossein Noruzoliaee , Khandker Nurul Habib

Urban air mobility (UAM) integrates autonomy, electrification, and sharing technologies into air travel with the prospect of connected multimodal transportation systems. Despite technological advances, public acceptance is identified in the literature to be a potential barrier to the widespread UAM deployment in the early stages and its sustainable long-run growth. Here, we investigate whether and what population cohorts embrace UAM as a travel mode to get to an airport by collecting a stated preferences sample dataset in Chicago. A hybrid choice model is then estimated, which accounts for latent or taste heterogeneity in the UAM acceptance behavior, to identify heterogeneous cohorts of UAM (non)users by their (un)observable characteristics and traits. The results provide behavioral and strategic insights that can inform stakeholders and policy makers. Notably, the propensity for UAM is found to be promoted by utilitarian and hedonic beliefs, hindered by acrophobia, and unassociated with safety and security concerns, environmental concerns, and perception of transportation-related benefits. The statistical insignificance of complementary ground access to UAM vertiports can inform strategic infrastructure investment decisions on locating vertiports, specifically by discouraging investments in establishing vertiports in Chicago North Side and downtown. By estimating the model in the willingness-to-pay space, the value of time (hours/$) for UAM, ridehail, rail, and car are directly measured at 72.736, 42.929, 16.268, and 12.357, respectively.

城市空中交通（UAM）将自动驾驶、电气化和共享技术整合到航空旅行中，并有望实现互联的多式联运系统。尽管技术进步，但在文献中，公众接受度被认为是早期广泛部署UAM及其可持续长期增长的潜在障碍。在这里，我们通过收集芝加哥的陈述偏好样本数据集，调查人群是否以及哪些人群将UAM作为前往机场的旅行模式。然后估计了一个混合选择模型，该模型考虑了UAM接受行为的潜在或味道异质性，通过UAM（非）用户的（不可观察的）特征和特征来识别异质队列。研究结果为利益相关者和政策制定者提供了行为和战略见解。值得注意的是，UAM的倾向被发现受到功利主义和享乐主义信仰的促进，受到恐高症的阻碍，与安全和保障问题、环境问题和交通相关利益的感知无关。UAM垂直机场的互补地面通道在统计上的不显著性可以为定位垂直机场的战略基础设施投资决策提供信息，特别是通过阻止在芝加哥北部和市中心建立垂直机场的投资。通过在支付意愿空间中估算模型，直接测算出UAM、拼车、铁路和汽车的时间价值（小时/美元）分别为72.736、42.929、16.268和12.357。

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引用次数: 0

Integrating FMEA and HFACS to assess the risk to airport operations 整合FMEA和HFACS，评估机场运营风险

IF 3.6 2区工程技术 Q2 TRANSPORTATION

Journal of Air Transport Management

Pub Date : 2025-09-13 DOI: 10.1016/j.jairtraman.2025.102902

James J.H. Liou , Chih-Wei Chien , Fang-Chi Chang , Yen-Ching Chuang

Airports are complex systems exposed to various operational risks that can disrupt services and compromise safety. Despite extensive research on risk management across industries, there is a lack of comprehensive methodologies tailored to airport operations. We present a comprehensive risk assessment framework that integrates human factor analysis with quantitative evaluation to predict and mitigate failures in critical airport systems. The model integrates the Human Factors Analysis and Classification System (HFACS) with Failure Modes and Effects Analysis (FMEA) to identify risk modes. To address uncertainty in expert assessments, Interval-Valued Intuitionistic Fuzzy Numbers (IVIFN) and Interval-Valued Intuitionistic Fuzzy Weighted Averaging (IIFWA) are employed. The Best-Worst Method (BWM) determines the weights of the risk factors, while the Combined Compromise Solution (CoCoSo) facilitates the comparative evaluation of risk scenarios. A case study on airport power system failures serves to validate the model, effectively identifying and prioritizing critical risks. This integrated model delivers a more accurate and reliable foundation for airport risk assessment, supporting informed decision-making and improved operational safety and efficiency.

机场是一个复杂的系统，面临着各种运营风险，可能会中断服务并危及安全。尽管对各行业的风险管理进行了广泛的研究，但缺乏针对机场运营的综合方法。我们提出了一个综合风险评估框架，将人为因素分析与定量评估相结合，以预测和减轻关键机场系统的故障。该模型将人因分析与分类系统（HFACS）与失效模式与影响分析（FMEA）相结合，识别风险模式。为了解决专家评估中的不确定性，采用区间直觉模糊数（IVIFN）和区间直觉模糊加权平均（IIFWA）。最佳最坏法（BWM）确定了风险因素的权重，而组合折衷方案（CoCoSo）便于对风险情景进行比较评估。机场电力系统故障的案例研究有助于验证该模型，有效地识别和优先考虑关键风险。这一综合模型为机场风险评估提供了更准确和可靠的基础，支持明智的决策，提高运营安全和效率。

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引用次数: 0

Flying high or saying goodbye? passenger incivility and flight attendants’ turnover intention: A serial mediation model of surface acting and emotional exhaustion 高飞还是告别？乘客不文明行为与空乘人员离职倾向：表面行为与情绪耗竭的序列中介模型

IF 3.6 2区工程技术 Q2 TRANSPORTATION

Journal of Air Transport Management

Pub Date : 2025-09-12 DOI: 10.1016/j.jairtraman.2025.102905

Xin Chen , Kei Wei Chia

This study aims to examine a serial mediation model in which passenger incivility affects emotional labour (i.e. surface acting), which in turn influences emotional exhaustion, which ultimately increases the intention to leave among flight attendants. The mediating roles of surface acting and emotional exhaustion are also examined in this model. Data from a sample of 203 flight attendants of major airlines in China was collected and analysed. The results indicate that passenger incivility does not directly influence turnover intention but that the link is partially mediated by emotional exhaustion. However, surface acting was found not to mediate the relationship between passenger incivility and turnover intention. This study is among the first to highlight the consequences of passenger incivility in the Chinese aviation industry.

本研究旨在检验乘客不文明行为影响情绪劳动（即表面行为）的一系列中介模型，情绪劳动反过来影响情绪耗竭，最终增加空乘人员的离职意愿。本模型还考察了表层行为和情绪耗竭的中介作用。本研究收集并分析了中国主要航空公司203名空乘人员的数据。结果表明，乘客不文明行为对离职意愿没有直接影响，但情绪耗竭在其中起部分中介作用。然而，表面行为并没有中介乘客不文明行为与离职倾向之间的关系。这项研究是第一批强调中国航空业中乘客不文明行为后果的研究之一。

引用次数: 0

Unveiling the psychological drivers of home-country Bias: Implications for passengers' behaviours toward national and foreign airlines 揭示母国偏见的心理驱动因素：对乘客对国内和外国航空公司行为的影响

IF 3.6 2区工程技术 Q2 TRANSPORTATION

Journal of Air Transport Management

Pub Date : 2025-09-05 DOI: 10.1016/j.jairtraman.2025.102891

Hany Ragab , Ana I. Polo-Peña , Abeer A. Mahrous

Despite strong field evidence highlighting the significant role of home-country bias in airline travel markets, academic and empirical research into its underlying psychological drivers remains limited. In light of ongoing geopolitical and economic disruptions, this study seeks to examine key psychological antecedents of home-country bias—specifically, passengers' national identity and ethnocentrism—and their influence on passengers' behaviours toward national versus foreign airlines. Additionally, the study investigates how passengers' perceptions of price fairness can moderate the potential effects of these constructs on passengers' actual purchase behaviour. Data were collected from 411 international passengers and analyzed using CFA and SEM via AMOS software. The findings indicate that national identity and ethnocentrism exert distinct and significant influences on passengers' behaviours toward both national and foreign airlines. Moreover, passengers' perceptions of price fairness were found to moderate the impact of these psychological factors on actual purchase decisions. The study concludes with outlining its theoretical contributions to the travel and hospitality literature and implications for airline service marketers.

尽管强有力的实地证据强调了母国偏见在航空旅行市场中的重要作用，但对其潜在心理驱动因素的学术和实证研究仍然有限。鉴于持续的地缘政治和经济混乱，本研究试图检查母国偏见的关键心理因素-特别是乘客的民族认同和种族中心主义-以及它们对乘客对国内航空公司和外国航空公司的行为的影响。此外，本研究还探讨了乘客对价格公平的感知如何调节这些概念对乘客实际购买行为的潜在影响。从411名国际乘客中收集数据，并通过AMOS软件使用CFA和SEM进行分析。研究结果表明，国家认同和民族中心主义对国内航空公司和外国航空公司的乘客行为都有显著的影响。此外，乘客对价格公平的认知可以调节这些心理因素对实际购买决策的影响。该研究总结了其对旅游和酒店文献的理论贡献以及对航空服务营销人员的影响。

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引用次数: 0

Multi-layer dynamic network model of traffic flow in terminal area and complexity analysis 终端区交通流多层动态网络模型及复杂性分析

IF 3.6 2区工程技术 Q2 TRANSPORTATION

Journal of Air Transport Management

Pub Date : 2025-09-04 DOI: 10.1016/j.jairtraman.2025.102881

Peng Yating, Shen Di, Wen Xiangxi, Yu Fuping, Ji Yuren

Advanced modeling frameworks are required to examine multi-dimensional interactions among airspace structure, traffic flow, and safety threats due to the expanding complexity of terminal area (TMA) air traffic systems, which are fueled by increasing airspace congestion and operational inefficiencies. This paper proposes a novel three-layer dynamic network model to characterize TMA air traffic operations, integrating an air traffic situation evolution network (ATSEN) for spatiotemporal traffic distribution, an air traffic conflict network (ATCN) for safety-related conflict dynamics, and an integrated flow-driven dynamic network (IFDN) to map flow transmission patterns. To measure operational complexity and important risk indicators, an analytical framework that combines intricate network topology measurements and traffic flow dynamics is created. The model’s capacity to recognize crucial flight segments and assess operating conditions in real time is demonstrated by empirical validation using actual radar data from the Beijing TMA. Key findings show that network robustness and conflict intensities fluctuate under dynamic situations, with peak complexity occurring during periods of high traffic. In addition to providing useful insights for TMA design and operational decision-making, the framework gives air traffic controllers a multifaceted instrument to improve flow management, reduce congestion, and increase safety.

由于终端区域（TMA）空中交通系统的复杂性不断扩大，空域拥堵和运行效率低下加剧了空域结构、交通流和安全威胁之间的多维相互作用，因此需要先进的建模框架来检查。本文提出了一种新的三层动态网络模型来表征TMA空中交通运行，该模型集成了用于交通时空分布的空中交通态势演化网络（ATSEN）、用于安全相关冲突动态的空中交通冲突网络（ATCN）和用于绘制流量传输模式的综合流驱动动态网络（IFDN）。为了测量操作复杂性和重要的风险指标，创建了一个结合复杂网络拓扑测量和流量动态的分析框架。利用北京TMA的实际雷达数据进行了经验验证，证明了该模型识别关键飞行段和实时评估操作条件的能力。主要研究结果表明，网络鲁棒性和冲突强度在动态情况下波动，在高流量期间出现峰值复杂性。除了为TMA设计和运营决策提供有用的见解外，该框架还为空中交通管制员提供了一个多方面的工具，以改善流量管理，减少拥堵，提高安全性。

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引用次数: 0

Electric and fuel aircraft schedule optimizing problem with battery charging and swapping — The case of flight in china 基于电池充电和更换的电动和燃油飞机调度优化问题——以中国航班为例

IF 3.6 2区工程技术 Q2 TRANSPORTATION

Journal of Air Transport Management

Pub Date : 2025-09-03 DOI: 10.1016/j.jairtraman.2025.102890

Yuxiang Tang, Li Wang, Wenxuan Kang, Wenchao Liu, Yufeng Zhuang

Under the trend of electrification, civil aviation is promoting electric aircraft to reduce emissions. In recent years, technological advancements have opened up the possibility of employing electric aircraft in flight routes. This paper will explore the scheduling problem of electric and fuel aircraft. The mixed operation mode of electric and fuel aircraft is necessary in the current state of green development since electric aircraft currently face significant challenges for operators of long haul routes. Meanwhile, the battery swapping technology can significantly reduce aircraft charging time at airports. Therefore, this paper investigates the optimization problem of the electric and fuel aircraft schedule with battery charging and swapping (ef-ASOP). We introduce a mixed integer programming formulation for the ef-ASOP to minimize total emission, charging, swapping and delay costs. The constraints of the model consider flow, charging and time constraints. We propose M-parameters bounds and two valid inequalities for model enhancement. The Air China case study demonstrates practical insights. The results show that an increase in the number of electric aircraft and battery capacity leads to a reduction in emission costs and an increase in delay costs. Electric aircraft and fuel aircraft are complementary. Some long haul routes cannot be operated by electric aircraft, but can be met by fuel aircraft. At the same time, fuel aircraft also help reduce delay costs. Meanwhile, more widespread deployment of battery swapping stations can reduce delays and improve passenger satisfaction.

在电气化的趋势下，民航正在推广电动飞机，以减少排放。近年来，技术进步为在航线上使用电动飞机提供了可能性。本文将探讨电动飞机和燃油飞机的调度问题。在当前绿色发展的状态下，电动飞机和燃油飞机的混合运营模式是必要的，因为电动飞机目前面临着长途航线运营商的重大挑战。同时，电池交换技术可以显著缩短飞机在机场的充电时间。为此，本文研究了考虑电池充电和换电的燃油飞机调度优化问题。为了使总排放、充电、交换和延迟成本最小化，我们引入了一个混合整数规划公式。模型的约束考虑了流量、充电和时间约束。我们提出了m参数边界和两个有效的模型增强不等式。国航的案例研究展示了实际的见解。结果表明，电动飞机数量和电池容量的增加导致排放成本的降低和延误成本的增加。电动飞机和燃油飞机是互补的。有些长途航线不能由电动飞机执飞，但可以由燃油飞机执飞。同时，燃油飞机也有助于降低延误成本。同时，更广泛地部署电池更换站可以减少延误，提高乘客满意度。

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引用次数: 0

Technological progress and biases in airline productivity: A network MPI analysis under external disruptions 技术进步与航空公司生产力偏差：外部干扰下的网络MPI分析

IF 3.6 2区工程技术 Q2 TRANSPORTATION

Journal of Air Transport Management

Pub Date : 2025-09-03 DOI: 10.1016/j.jairtraman.2025.102892

Ming-Miin Yu , Li-Hsueh Chen

This study aims to investigate the significant role of technological progress and its biases among different factors and outputs within a two-stage network production technology structure in influencing productivity changes in airlines. To address variations in productivity under external disruptions and market fluctuations, this study develops a novel network Malmquist Productivity Index (MPI) decomposition model, identifying both inter-group biases between inputs and outputs and intra-group biases among input factors and outputs. Analyzing data from 2015 to 2021 for 16 global airlines, the study measures productivity changes and their components within the network production framework. The technological change is decomposed to analyze the bias characteristics of input factors such as labor and operational expenses, intermediate products like available seat kilometers and available freight ton kilometers, and output factors including revenue passenger kilometers and revenue freight ton kilometers. The findings indicate that efficiency improvements and technological progress are primary drivers of productivity growth, while output-biased technological change limits this growth. Efficiency improvements, increased magnitude of technological change, and input-biased technological change in the service stage contribute to overall productivity gains, mitigating the negative impact of efficiency deterioration and reduced technological change in the production stage. Notably, productivity regressed during 2020–2021, reflecting operational disruptions caused by external shocks such as the COVID-19 pandemic. These results suggest that targeted technological advancements and efficiency improvements in specific production and service stages can significantly influence overall productivity. The study provides strategic insights for airlines to navigate disruptions, emphasizing the importance of understanding and managing technological biases to enhance productivity.

本研究旨在探讨两阶段网络生产技术结构中技术进步及其在不同要素和产出之间的偏差对航空公司生产率变化的显著影响。为了解决外部干扰和市场波动下的生产率变化，本研究开发了一种新的网络Malmquist生产率指数（MPI）分解模型，识别了投入和产出之间的群体间偏差以及投入因素和产出之间的群体内偏差。该研究分析了2015年至2021年全球16家航空公司的数据，衡量了网络生产框架内的生产力变化及其组成部分。对技术变革进行分解，分析劳动力和运营费用等投入因素、可用座位公里数和可用货运吨公里等中间产品、收入客运公里数和收入货运吨公里等产出因素的偏差特征。研究结果表明，效率提高和技术进步是生产率增长的主要驱动力，而偏向于产出的技术变革限制了这种增长。服务阶段的效率提高、技术变化幅度增加和投入偏向的技术变化有助于整体生产率的提高，减轻了生产阶段效率恶化和技术变化减少的负面影响。值得注意的是，由于COVID-19大流行等外部冲击造成的运营中断，2020-2021年期间生产率出现回落。这些结果表明，在特定的生产和服务阶段，有针对性的技术进步和效率提高可以显著影响整体生产率。该研究为航空公司提供了应对干扰的战略见解，强调了理解和管理技术偏差对提高生产力的重要性。

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引用次数: 0

Analyzing network selection competition between airlines using Graph Model for Conflict Resolution in the foresight of two steps 基于两步预见冲突解决的图模型分析航空公司网络选择竞争

IF 3.6 2区工程技术 Q2 TRANSPORTATION

Journal of Air Transport Management

Pub Date : 2025-09-02 DOI: 10.1016/j.jairtraman.2025.102893

Shawei He , Peng Sun , Jiangying Qin , Changmin Jiang

The selection of network structures is instrumental for airlines to gain upper hand in market competition. In the existing research, game theoretical methodologies are utilized to provide equilibria for suggesting strategies in competition. Nowadays, utilities for airlines are increasingly affected by factors which are difficult to calibrate, such as geopolitical events. Besides, airlines as wise decision makers not only consider the strategic moves in the foresight of one step, but also what could be the counteractions from opponent airlines. In this paper, the selection of network structures between two competing airlines are investigated using graph model for conflict resolution (GMCR), an effective methodology for solving strategic conflicts. The equilibria of competition are calculated without the requirement of explicit expression of utilities, and reflecting the perception of each airlines in two steps. Theorems are provided to indicate the existence of the equilibria in the competition, including Nash equilibria and sequentially stable (SEQ) equilibria for the foresight of two steps. Comparing with the equilibria calculated in the existing literature based on the same modelling settings, the Nash equilibria suggested by GMCR are consistent with those calculated by classical game theory approach. Besides, GMCR can indicate SEQ equilibria as an enhanced understanding of competition reflecting longer foresights of DMs. In particular, the SEQ equilibria in Scenarios 1 and 2 of this paper indicate alternative strategies by adopting which both airlines could be more profitable compared with the strategies suggested by Nash equilibria. As demonstrated in this paper, GMCR not only requires less information in modelling, but is also capable of providing more insightful strategies for DMs in aviation industry. Moreover, the framework of addressing the network selection problem using GMCR could provide a useful paradigm for analyzing wider range of strategic competition problems in aviation industry in the future.

网络结构的选择是航空公司在市场竞争中取得优势的重要手段。在现有的研究中，利用博弈论的方法为竞争中的策略建议提供均衡。如今，航空公司的公用事业越来越多地受到难以校准的因素的影响，例如地缘政治事件。此外，作为明智的决策者，航空公司不仅要考虑一步的战略举措，还要考虑对手航空公司可能采取的反击措施。本文采用冲突解决图模型（GMCR）这一解决战略冲突的有效方法，对竞争两家航空公司之间的网络结构选择进行了研究。竞争均衡的计算不要求明确表达效用，并分两步反映各航空公司的感知。给出了竞争均衡存在的定理，包括纳什均衡和两步前瞻的顺序稳定均衡。与已有文献在相同模型设置下计算的均衡相比，GMCR所提出的纳什均衡与经典博弈论方法计算的纳什均衡基本一致。此外，GMCR可以表明SEQ均衡是对竞争的更好理解，反映了决策者更长远的远见。特别是，本文情景1和情景2中的SEQ均衡表明，与纳什均衡建议的策略相比，采用两家航空公司都可以更有利可图的替代策略。如本文所示，GMCR不仅在建模上需要更少的信息，而且能够为航空业的决策经理提供更有洞察力的策略。此外，利用GMCR解决网络选择问题的框架可以为未来航空业更广泛的战略竞争问题的分析提供一个有用的范式。

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引用次数: 0

Applying Large Language Models to investigate how people with disabilities interact at airports 应用大型语言模型来调查残疾人如何在机场互动

IF 3.6 2区工程技术 Q2 TRANSPORTATION

Journal of Air Transport Management

Pub Date : 2025-08-30 DOI: 10.1016/j.jairtraman.2025.102880

Steven Tanner McCullough , Ariana Grant , Evan Mistur , June Young Park

Rapid transition in social and environmental conditions consistently demand changes in how airport facilities are operated and managed, creating an ongoing stream of new and unique barriers to accessibility. In this paper, a novel framework in conjunction with Large Language Model (LLM) and accessibility design standards is used to discover the perceived accessibility of people with disability (PWD) in airports, mined from location-based social media reviews. The analysis uncovered key insights into how different airports perform in terms of accessibility among 64 hub airports in the United States. While some airports excel in most areas that are legislated by the Americans with Disabilities Act (ADA), others face challenges in providing consistent and inclusive experiences. Primarily, the initial arrival experiences at airports are seen as the most significant factor influencing PWD overall perceptions of accessibility throughout the entire airport, highlighting the importance of consistent and effective first contact in shaping the journey of PWD.

社会和环境条件的快速变化不断要求机场设施的运营和管理方式发生变化，从而不断产生新的和独特的无障碍障碍。本文结合大语言模型（Large Language Model， LLM）和无障碍设计标准，从基于位置的社交媒体评论中挖掘机场残障人士（PWD）的无障碍感知。该分析揭示了美国64个枢纽机场在可达性方面的不同机场表现的关键见解。虽然一些机场在《美国残疾人法案》（ADA）规定的大多数领域表现出色，但其他机场在提供一致和包容的体验方面面临挑战。首先，首次抵达机场的体验被视为影响残疾人士对整个机场无障碍程度的整体看法的最重要因素，这突显了始终如一和有效的首次接触对残疾人士旅程的重要性。

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引用次数: 0