Spatial and operational factors behind passenger yield of U.S. nonhub primary airports

Nonhub airports are an essential component in the National Plan of Integrated Airport Systems (NPIAS) of the United States in that they connect regional towns and small communities to the air transportation network. Understanding the interplay of operational and spatial factors in determining average passenger yield of nonhub airports provides airlines with valuable information for network planning and revenue management. This study examines factors contributing to the yield variation among nonhub airports in the U.S. Using ordinary least squares (OLS) based econometric models, this study captures the spatial dependence of passenger yield of nonhub airports, which tends to increase with a corresponding increase in distance to the nearest large hub airport. Nonhub airports surrounding large hub airports with higher passenger enplanements and higher average yields also have higher yields than other nonhub airports. In addition, this study finds the effect of Allegiant Airlines in lowering the average passenger yield of the nonhub airports served directly by the airline, which can be termed as ‘Allegiant Effect’. Findings of this study could provide valuable guidance for airlines to analyze network planning strategies and to identify future markets for growth and for policymakers when allocating resources to communities relying on these nonhub airports.     

石衡沧港城际铁路互联互通方案研究

突出功能定位,发挥路网互联互通作用,是高速铁路互联互通方案研究的关键。在阐述石衡沧港城际铁路互联互通现状的基础上,针对石衡沧港城际铁路客流特点和功能定位,分析石衡沧港城际铁路石家庄铁路枢纽、衡水铁路枢纽、沧州铁路枢纽和黄骅铁路枢纽等互联互通主要节点枢纽,通过衡水、沧州和黄骅铁路枢纽比选方案分析,提出石衡沧港城际铁路在通道中的枢纽方案,为区域连接线、城际铁路在方案互联互通作用提供研究支撑。     

Key drivers of passengers' overall satisfaction at klia2 terminal

The purpose of this study is to examine the airport service quality dimensions based on the ASQ survey and investigate the best predictor for overall satisfaction. The context of this study is the klia2 terminal passengers, which are predominantly users of the low-cost carriers at Kuala Lumpur International Airport. Secondary data obtained from the airport operator on the 2016 ASQ survey for the klia2 terminal was analysed using the PLS-SEM method. The grouping and impact of the thirty-three service quality elements from the ASQ survey were tested against the overall satisfaction element. The findings indicated that twenty-two out of the thirty-three elements were valid measures for the klia2 terminal users which forms the eight dimensions i.e. access, airport environment, airport facilities, arrival services, check-in, finding your way, passport and security. Airport environment was found as the best predictor in determining passengers’ overall satisfaction at klia2 terminal and should be given particular focus by the airport operator for continuous improvements.     

Key drivers of passenger loyalty: A case of Frankfurt–Istanbul flights

This study aims to analyze the effects of factors such as image, satisfaction, price, and service quality on passenger loyalty toward full-service network carriers and low-cost carriers. A structural equation modeling approach was applied to identify the factors that significantly affect passenger loyalty. Using LISREL, data were collected from 237 passengers in face-to-face interviews in the baggage claim area of international arrivals at Ataturk International Airport in Turkey who traveled from Frankfurt to Istanbul and were used to test the proposed model. One hundred seventy-five out of these 237 questionnaires were considered as valid. The results indicate that 71% of the passenger loyalty is explained by image and image is explained by satisfaction. In addition, service quality and price are found to have positive effects on satisfaction. Compared with price, service quality is found to be a stronger determinant of satisfaction. This study concludes with the recommendations for managers and possible future research.     

Stochastic seat allocation models for passenger rail transportation under customer choice

We study the seat allocation problem for passenger rail revenue management, in which a rail operator attempts to determine the optimal quantity of seats to be allocated to each cabin class for each train service. We formulate the problem with single-stage and multi-stage decisions as two stochastic programming models that incorporate passengers’ choice behavior. We transform the stochastic models into equivalent deterministic mathematical programs that are easy to solve. Then, we form a variety of seat allocation polices from the optimal solutions to the seat allocation models. A number of simulation tests are offered to test the policies.     

基于粗糙主成分分析法的铁路网客运节点重要度决策

通过阐述铁路网客运节点的定义和节点重要度的概念,建立客运节点重要度评价指标体系,利用粗糙集理论与主成分分析法的结合,提出利用主成分分析法和基于信息量方法,计算客运节点的客观权重,结合主观权重得到科学合理的客运节点综合权重。经过实例分析,表明了基于粗糙主成分分析法的客运节点评判结果的有效性。     

心理学原理在高校学风建设中的运用

学风建设是高校一项长抓不懈的基础性工作,是校园精神文明的重要方面。本文从心理学的角度,对高校学风建设的方式方法提供一点建议,希望能为高校学风建设贡献一份力量。     

Does the nature of airport terminal service activities matter? Processing and non-processing service quality,passenger affective image and satisfaction

The surge in air transport demand and the increasingly competitive and volatile market dynamics due to airline deregulation are rapidly transforming airports’ character into multi-service firms and destinations. As a result, service performance measurement of significant systems and their consequent impact on airport users are crucial in creating better airport service design, operation and management for sustainable competitive advantage. The present study 1) assesses the applicability of the Airport Indicators of Passenger Experience (AIPEX) model on Shanghai Pudong International Airport (PVG), and 2) tests a theoretical model that explores the direct and indirect relationships among airport service quality, passenger affective image and satisfaction, as well as the moderating mechanism of passenger type (travel purpose) in these associations. The results indicate that, the AIPEX model fits the PVG context for airport service performance assessment. Also, the theoretical model suggests robust direct associations among processing/non-processing domains and passenger satisfaction, as well as the processing domain and passenger affective image, except non-processing domain and passenger affective image relation. Moreover, significant mediating and moderating effects of passenger affective image and travel purpose on the significant positive direct associations are found. Further, implications for theory and practice are discussed.     

The impact of Air Service Agreement liberalisation: The case of Nigeria

The positive impact of air transport liberalisation as suggested by economic theories and empirical studies has inspired many developing countries like Nigeria to liberalise some of its Air Service Agreements (ASAs). This paper seeks to examine the extent to which international air service liberalisation has impacted upon Nigeria ten years after it was introduced. The research developed a cross-sectional model with passenger traffic as the dependent variable, while macroeconomic factors (trade and GDP), historical links, distance and ASAs (a proxy for liberalisation) served as independent or predictor variables. The analysis revealed a set of ASA stages in the country's policy-making process (restricted Bilateral Air Service Agreement, Open Skies Agreement and Yamoussoukro Declaration). Further analysis showed that the predictor variables were all significant in explaining passenger demand. The model demonstrated that the liberalisation of market access to the Open Skies Agreement level could stimulate traffic growth by at least 65 percent. The findings can assist in guiding policy and industry stakeholders in future decisions relating to liberalisation and ASAs.