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Abstract The decision to launch a new route has a huge effect on the outcomes of airlines in the market. In order to find potential destinations for airlines, this paper utilizes a compromise programming method for selecting direct flight routes. The selection framework comprises two objective functions, with one maximizing total revenue and the other minimizing total cost. A case studying Taiwan-European region destinations is interpreted in the analysis. The results indicate that four potential routes, including Madrid, Milan, Munich and Zurich should be added to the airlines' service destinations. Therefore, this research suggested that the airport authority could apply incentives scheme to attract carriers to open new routes and add flight frequencies to strengthen its competitiveness. Highlights • The study utilizes a compromise programming method for selecting direct flight routes. • A case involving Taiwan-European region destinations is applied in the analysis. • The results indicate that potential routes, Madrid, Milan, Munich and Zurich, should be added to the airlines' destinations. [ABSTRACT FROM AUTHOR]

Abstract: This paper examines the practicability and validity of the Multi-Objective Goal Programming (MOGP) model in designing a point-to-point airline network. The MOGP mathematical model is used in this study to identify and select a best central airport and its connecting airports providing the best overall optimal performance. By using the proposed model in the selection process, one can expect to achieve the following objectives: (1) an airline network designed at less cost, (2) an airline network that generates more revenues, and (3) an airline network that serves more passengers. Route data from Taipei to the Southeast Asian region were selected for this experiment to validate the model’s practicability. [Copyright &y& Elsevier]

Abstract: This paper introduced a stochastic programming model to address the air freight hub location and flight routes planning under seasonal demand variations. Most existing approaches to airline network design problems are restricted to a deterministic environment. However, the demand in the air freight market usually varies seasonally. The model is separated into two decision stages. The first stage, which is the decision not affected by randomness, determines the number and the location of hubs. The second stage, which is the decision affected by randomness, determines the flight routes to transport flows from origins to destinations based upon the hub location and realized uncertain scenario. Finally, the real data based on the air freight market in Taiwan and China is used to test the proposed model. [Copyright &y& Elsevier]

Abstract: This paper seeks to investigate the relationship between business air travel and videoconferencing for intra-firm communication using econometric models developed through survey data from Taiwan’s technology industry. The survey respondents include business firms that either use or do not use videoconferencing currently. Based on survey data analyses, negative binomial models are developed for the set of current adopters of videoconferencing, and a Poisson regression model is developed for the non-adopters. They suggest substitution relationships between business air travel and videoconferencing for the two groups. However, the substitution effect is perceptibly stronger when videoconferencing is used as a substitute for business air travel. The analysis highlights that the meeting context significantly influences the choice of the communication mechanism; meeting contexts that do not specifically require face-to-face interaction tend to foster increased videoconferencing usage. Further, the perceptions of the respondents in terms of the relative benefits and weaknesses of each communication option influence the likelihood of substitution. [Copyright &y& Elsevier]

The growth of the air transport industry has been accompanied by various crises including aircraft incidents and accidents, terrorist attacks, and pandemics such as COVID-19. These crises to a great extent affect air travelers' motivation, which in turn affects the air travel demand that justifies airlines' legitimate existence and sustainability. However, there has been relatively little research into understanding air travelers' motivation during and after such crises, despite some studies having been conducted in the tourism domain to understand the motivation of tourists to travel to specific destinations. An enhanced knowledge in this field is important and would benefit the airline industry, which is facing increasing competition from other transportation modes as well online conferencing technologies. By applying the Push and Pull Factor model, this study has sought to identify the travel motivation and further determine whether Push factors have any positive influence on Pull factors. To this end, 760 questionnaires were collected from Taiwan. Both descriptive and inferential statistical analyses were conducted to test the hypotheses. Our findings reveal that the Destination image remains the most influential Pull factor, while Aviation-specific products and services is the least attractive Pull factor. Self-realization/achievement topped the rankings for the Push factors, while Flying experience was a selling point in its own right among the Push factors, although it was not as appealing as anticipated. The millennium generation, fewer frequent flyers and low-income consumers are more likely to take advantage of flying deals. This paper suggests that a more collaborative approach between airlines, airports and destination organizations could be adopted to design and promote tailor-made aviation and travel products to stimulate segmented consumers' demand for air travel during crises. Effective marketing strategies need to be in place to promote the specially-designed travel products. • Push and Pull model applied to identify factors affecting air travellers' motivation during pandemic. • Destination image is most influential. • Flying experience and aviation specific product and service is less effective. • Segments with certain demographic features have strongest desire to fly. • Collaborative marketing strategies and tailor-made products could be devleoped. [ABSTRACT FROM AUTHOR]