Passengers' airport choice and airports' catchment area analysis in cross-border Upper Adriatic multi-airport region

Although much research has been performed on passengers' origin airport choice, there is little research on airports' catchment area size and even less on airports' catchment areas in cross-border regions. This paper addresses passengers' airport choice and analyzes airports' catchment area size and its homogeneity in the Upper Adriatic region. Using the results of passengers' survey at three regional airports (Ljubljana Jože Pučnik Airport (LJU), Venice Marco Polo Airport (VCE) and Trieste Pietro Savorgnan di Brazza Airport (TRS)) we have estimated the airports' catchment areas and airports market shares therein using multinomial logit (MNL) model structure. To additionally explore the passengers' airport choice behavior considering the different sensitivity across travellers to regional, demographic and airports attributes and account for preference heterogeneity in airport choice a mixed logit model was used. The results indicated that the three airports have relatively small core catchment areas and that the market share rapidly decreases with the increasing access time to airport. Partially, the results reinforced earlier findings showing that access time to airport is the most important determinant in airport choice for all segments (business/leisure and cross-border/domestic), however the sensitivity to access time is more pronounced in business and domestic group. Additionally, the results indicated pronounced loyalty to domestic airports and generally low importance of ticket prices, and show that in market conditions where all airports in the region have a low-cost carrier (LCC) the effect of LCC on airport choice is limited. Finally, the results indicated that the borders might have an influence on airport choice and that overall, in the cross-border regions the passengers’ airport choice process is even more complex than in non cross-border regions.     

The role of schedule delays on passengers’ choice of access modes: A case study of Japan’s international hub airports

We empirically study passenger modal-choice behavior to access an international hub airport, by using stated preference (SP) data and by constructing a binomial logit model. We found that passenger modal choice is affected by the service level of the access modes: travel time, travel cost, waiting time, and delay cost. The results also indicate that if passengers choose access mode in advance they consider service frequency: departure timing from home, and the arrival timing at the airport. Moreover, our results indicate that travelers’ willingness to pay for saving time differs by time of a day. They are apt to pay more in the morning than in the afternoon. These outcomes must contribute to improve the access flight service from local to hub airports to handle the needs of passengers.     

A study on passengers' airport choice behavior using hybrid choice model: A case study of Seoul metropolitan area,South Korea

Improving explanatory power is significantly important to understand variables that affect attitudes and perceptions in the decision process. This paper estimates not only tangible attributes but also intangible perceptions and attitudes using a hybrid-choice model to study air passengers' flight choice behavior. The empirical study was conducted for the choice behavior of air passengers at Seoul Metropolitan Area, South Korea. The analysis uses a two-level Nested Logit model in order to examine which factors have more effect on passengers’ choice of airport and airline simultaneously by using airport and airline choice attributes. The study also estimated the parameters in the equations relating the latent variable by using Structural Equation Model (SEM). The results indicate that the models with latent variables have improved Goodness-of-Fit when compared to classical discrete choice models and effectively capture psychological factors that affect choice behavior of passengers.     

Passenger complaints under irregular airline conditions – cross-cultural study

Punctuality is seen as key component of airline service quality. This paper examines cross-cultural differences in passenger complaints regarding irregular airline conditions. Analysis of four clusters of air travelers in South Korea – from South Korea, Japan, China, and America – exhibit significantly differences in their attitudes suggestion important cultural variations.     

Modeling the joint choice of access modes and flight routes with parallel structure and random heterogeneity

This study focuses on the influence of ground access transportation on air travel. The error components logit model with parallel structure is first adopted to formulate the joint choice behavior of access, airports, and flights. The proposed model proves to be effective in exploring interdependence between choice dimensions and travelers heterogeneity. The empirical results indicate that fare discounting should be introduced at the city airport and the frequency of existing flight routes should be increased. To benefit the hub airport, authorities of the new airport mass rapid transit system should reconsider the tradeoff between time and cost for express trains.     

Market segmentation analysis for airport access mode choice modeling with mixed logit

Accessing airports can be considered as a crucial issue since passengers need not miss their flights. This issue makes the mode choice to access the airports important to study on and develop policies regarding it. Many studies show destination type as domestic or international affects the airport access mode choice, along with other factors. In this study, we investigate the effect of destination type of mode choice using mixed logit, using market segmentation approach. Market segmentation regarding destination type as domestic or international is a first in airport access mode choice modeling. Revealed-preference data was collected by face-to-face passenger surveys at Ataturk International Airport in Istanbul, Turkey, in 2015. We did market segmentation analysis for Multinomial Logit (MNL) and Mixed Logit (ML) models. When MNL and ML models were compared, it was observed that ML was superior to MNL. Further, results of market segmentation analysis revealed that using segmented models produced more accurate results than using the pooled model; both in MNL and ML. This finding was also supported by the value of time estimates; there were significant differences between domestic and international travel markets in terms of airport access mode choice. These results showed that different transportation policies may be introduced for domestic and international traveler segments, which also were explained.     

Analysis of Iranian passengers' behavior in choosing type of carrier in international air travel to East Asia

Increased demand for East Asia flights from Tehran has intensified competition between Iranian and foreign carriers. In addition, the entrance of low-cost carriers (LCC) will make this competitive market even more intense. In this condition, carriers are striving to gain more market share by improving services and discounting their fares. Therefore, analyzing air travel demand is valuable for carriers' long term and short term planning. This study empirically investigates passengers' behavior in choosing five types of carriers in many groups of passengers using multinomial logit (MNL) and nested logit (NL) models. The data were collected through the stated preference (SP) questionnaire designed based on orthogonal main-effect. The main survey was conducted in the Imam Khomeini International (IKI) airport in July 2013 where 480 questionnaires were collected through face-to-face interviews. The results show that the ticket fare, the possibility of travel on desired date and time, international air travel experience, Frequent-flyer program (FFP) membership status, marital status, and gender are statistically significant contributors in explaining carrier choice. Interaction effects between trip purpose and ticket fare are statistically significant in choosing carriers. The results further indicate that business travelers are more willing to pay than non-business travelers for flights on desired date and time, although varying by type of carrier.     

Predicting transit mode choice of New Jersey workers commuting to New York City from a stated preference survey

This study examines transit mode choice preferences of New Jersey commuters traveling to New York City (NYC) with the objective of assisting trans-Hudson ferry service planning on the basis of variables significantly affecting mode choice. A stated preference survey was conducted to collect data from a total of 2134 respondents who commute from northern New Jersey to NYC. A mixed multinomial logit model (MMLM) with random coefficients was used to analyze the data. The study considered the choice between four transit modes—ferry, PATH train, bus, and commuter rail—all of which can be used to cross the Hudson River to travel from New Jersey to NYC. Essential model results are presented for all four modes, but detailed results are discussed for only the ferry, PATH, and bus modes. Model results indicate that commuters' choices are affected not only by travel time and cost for the segment of the journey that crosses the Hudson River, but also reliability and comfort during that segment, number of access modes required by the journey, and travel time and cost of trips from home to stations/terminals before crossing the river. The results also show that commuters' attachment to the modes they currently use serves as a barrier to switching to other modes. The most important takeaway from this research for transit service planning is that there is a need to consider the attributes of both individual trip segments as well as entire journeys between commuters' home and work when exploring changes to transit service characteristics.     

Flying Australia–Europe via China: A qualitative analysis of the factors affecting travelers' choice of Chinese carriers using online comments data

Recently, Chinese carriers entered the Australia–Europe route, a market currently served by several established airlines. The paper aims to explore and identify the contextual factors affecting the choice of China-based carriers for long-haul travel. The paper's innovation is in the way it uses the online comments made by readers of an aviation news article. In doing so, the paper highlights the advantages and limitations of such a data source and the full range of positive and negative perceptions about Chinese airlines as recorded by potential and actual travelers. This study highlights that in order to understand flight choice, it is worthwhile to consider the conventional itinerary choice factors in the context of the socio-cultural and historical influences. For researchers, the paper provides some evidence that air travelers apply compensatory decision rule in making airline choices. This supports the validity of the assumption of random-utility based choice models used in the study of air travel behavior.     

A border effect in airport choice: Evidence from Western Europe

Some commentators suggest that air travelers are reluctant to use a foreign airport as a point of departure for their journey. Such reluctance has implications for marketing and policy measures, especially in border regions and in smaller countries, such as the Netherlands and Belgium. In this study, we tested this supposed barrier effect of national borders with empirical data.Our research is based on a subsample (n = 4083) of a large-scale survey among German, Dutch and Belgian adults. Participants were asked about their most recent flight, preferences regarding long-distance travel, and general travel behavior. The survey information about the most recent trip was linked to the Official Airline Guide with data from 18 airports in the Western European region. On average, however, only 10 airports offered a direct connection to the destination of the respondents’ most recent flight. A conditional logit model with varying choice sets allowed us to model only the relevant airports per respondent, while accounting for other known determinants in airport choice, such as travel time, airline competition, and number of available flights.The model results confirmed our expectations: people strongly prefer a departure airport situated in their own country. The model predictions suggest that without the border effect the share of people in our sample departing abroad would rise from 7.7% to 18.7%. Experience (with multiple airports as a point of departure) mitigates the barrier effect of the border. The performance of our model is good: the median probabilitie for the chosen alternative is 68%. Our research stresses the importance of the barrier effect of borders in airport choice: even when traveling across borders in the European sky, national borders remain important.     

Latent class nested logit model for analyzing high-speed rail access mode choice

This paper explores access mode choice behavior, using a survey data collected in Taiwan. The latent class nested logit model is used to capture flexible substitution patterns among alternatives and preference heterogeneity across individuals while simultaneously identifying the number, sizes, and characteristics of market segments. The results indicate that a four-segment latent class nested logit model with individual characteristics in segment membership functions is the most preferred specification. Most high-speed rail travelers were cost-sensitive to access modes, and thus strategies that reduce the access costs can be more effective than reducing the access times.     

Estimation of willingness-to-pay for premium economy class by type of service

This study aims to estimate the willingness-to-pay (WTP) to upgrade from economy to premium economy class by six types of services and to identify the socioeconomic and travel characteristics of international travelers affecting the WTP using the Tobit model assumed to be censored at zero. The results confirm that the travelers' WTP for the premium economy class in the long-haul travel is higher than those in the medium and the short-haul travels. However, the ratio of additional WTP to the economy class fare in the long-haul route is slightly lower than that in the medium-haul route. The results also present that international travelers have the highest WTP for increased seat width in the premium economy class service attribute, followed by increased seat pitch and upgraded in-flight meal service. Finally, the results indicate that the WTP to upgrade to premium economy class are proportional to the age or the income level of travelers. Furthermore, international travel frequency and the experience of premium economy class have a positive impact as well. This research can be a useful resource for analyzing international travelers’ WTP concerning the type of service and this information will be useful to policy makers in their efforts to determine their fare policies and the target audience for marketing premium economy class.     

Airport curfew and scheduling differentiation: Domestic versus international competition

This study investigates the strategic flight departure scheduling on domestic and short-haul international routes from regional airports in Korea. Airport-level data were constructed for non-stop routes from 2010 to 2018. This study examines the effects of changes in scheduling constraints induced by airport night curfews on domestic and international routes through competition intensity. The empirical findings suggest that competition leads to less differentiated flight departure times on domestic routes from the two regional airports. However, competition leads to more differentiated flight departure times on international routes from Daegu airport, which has a new night curfew, while a clustered departure pattern is found for international routes from Cheongju airport. An obvious pattern of differentiated departure times is found after the easing of night curfews in 2014, along with the expansion in LCCs.     

Mode choice behavior analysis of air transport on the introduction of remotely piloted passenger aircraft

Remotely piloted aircraft (RPA) are expected to be applied to passenger aircraft; however there is a lack of research which analyzes choice behavior for RPA compared to conventionally piloted aircraft (CPA), in terms of socio-demographic characteristics. The purpose of this paper is to present a model for air travelers’ mode choice behaviors under the assumption that RPAs are introduced to the market. Results show that the fare of RPA should be lowered by a certain amount (i.e., discount factor of RPA) to compete with CPA, and the discount factor should be higher for older, female, and frequent travelers. The results also show that there are still concerns about RPA, and pilot on board is preferred. Through this study, it will be possible to predict the acceptance of newly introduced technology in consideration of socio-demographic characteristics of potential customers.     

Managing passengers’ experience through mobile moments

Travelers' experience is dramatically affected by the use of digital technologies. On the one side, travel companies use them to support management and marketing practices with the purpose of fostering efficiency and ultimately increase competitiveness. On the other side, travelers heavily rely on their digital devices to organize, personalize and to a certain extent ‘live’ their travelling experience. Within this scenario, mobile devices are seen from both ends as crucial mean for location and context based interactive communication. Mobile devices are here discussed as personalization tool for leisure air passengers' experiential journey in an airport starting from customers' journey analysis, along with information sources used within the whole journey.     

Preferences for tourist information centres in the ubiquitous information environment

The rapid development of information communication technology has encouraged tourism authorities to carefully consider the typical duties of tourist information centres (TICs), wherein visitors acquire various kinds of travel information about a particular destination. This study aims to provide useful management implications to help tourism organisations develop feasible TIC operational strategies and implement alternative services in the ubiquitous information environment. To provide a richer understanding of tourists' heterogeneous preferences for TICs, this study makes use of the stated preference choice method with a sample of South Korean domestic tourists. Despite the widespread use of personal mobile devices, our study results suggest that South Korean domestic tourists still prefer to visit various types of TICs to acquire travel information. Results indicate that the TIC visitor group is less sensitive than the non-visitor group to advanced information communication technology and more satisfied with the availability of WIFI signals to facilitate the use of personal mobile devices or laptops. Our respondents also demonstrate their preferences for some TICs constructed with container structures, whereas they showed a strong aversion to visiting booth-styled TICs inside larger buildings. Based on these findings, this study provides several management strategies to fulfil tourists' ever-changing needs.     

Airport choice and flight connectivity among domestic and international passengers – Empirical analysis using passenger movement survey data in Japan

This paper presents an empirical analysis of airport choice and passenger movement on international flights from local cities in Japan to Narita and Haneda Airports in the Tokyo metropolitan area. This is the first study to evaluate airport choice behavior in Japan empirically by using the micro data collected by Japan’s Ministry of Land, Infrastructure, Transport and Tourism in 2010 (i.e., when time slots for international long-haul flights were first assigned at Haneda). The analysis confirms that flight connectivity is a crucial element in airport choice.Further, Japanese airlines and their associated alliances are able to attract passengers arriving from local cities by using Haneda airport. Above all, we find that the introduction of long-haul international flights from Haneda has met the needs of a number of passengers arriving from local cities in Japan owing to the convenience of the domestic flight network, especially for business purpose passengers.     

Mode choice behavior modeling of ground access to airports: A case study in Istanbul,Turkey

The increase in air transportation mode share, thereby the passenger traffic at airports has made the ground access to the airports more important in recent years. The aim of this study is to analyze the ground access mode choice to airports by using Multinomial Logit (MNL). In particular, our focus is on how transit areas of influence affect the mode choice for travelling to airports. Atatürk International Airport (IST) in Istanbul, Turkey was selected for the analyses and the investigated modes to access IST were automobile, drop-off, public transit, and taxi. The results showed that significant factors and variables included the trip distance to access IST, type of destination, trip cost to IST, automobile ownership status, employment status, travelling group size, location of the trip origin with respect to public transit influence, and time difference between the flight time and departure time to IST. It is also concluded that if the trip origin to IST was inside the influence areas of public transit, then public transit would be more likely to be chosen over other modes for accessing IST.     

Nested logit model formation to analyze airport parking behavior based on stated preference survey studies

The rapid growth of private car ownership and utilization has resulted in significant parking-related congestion problems at large-scale international airports. Parking facilities located in the peripheral areas of airports could be more efficiently used to mitigate congestion and reduce delays due to dramatically increasing traffic demands and inferiorly designed parking lot configurations. In order to analyze the travelers' parking choice preferences for the off-site airport parking activities, a stated preference survey study was conducted around Terminal 3 at Beijing Capital International Airport. Two nested logit models were formulated to analyze the correlation between travelers' parking behavior and their travel characteristics. The research results indicate that travelers prefer to choose off-site parking facilities for long-term parking. A free and fast operation of connections should be provided in consideration of the long-distance layouts of parking facilities. A classification analysis of travelers with different preferences was conducted and the potential changes in travelers' parking choices to off-site parking lots were quantified. The research findings are helpful for traffic management agencies to develop practical guidelines for the establishment of new parking facilities with multiple access points at airports.     

Modelling the preference for business charter in the cross-strait market

This paper aims at investigating business travelers' choice behavior between business charter (BC) and the business class of commercial airlines in the cross-strait market. This study applies the stated preference method and sets five scenarios with the combination of various levels of fares, waiting time, privacy and expedient clearance services and inflight communication equipment. Data were collected by purposive sampling and interviewing business travelers near the VIP centers, departure lounges, and the baggage claim areas of Taiwan Taoyuan International Airport. A sample with 420 business travelers from Taipei to Shanghai was collected. Then, the binary logit model was employed to analyze how service attributes influence Taiwanese business travelers' choice behavior between BC and business class. Estimation results indicate that fare is the most important factor. Other factors such as gender, seniority, and the number of business trips during the previous year remain significant on the probabilities of choosing BC. Additionally, five specific features of BC were set as dummy variables in the model. Those are transfer time saving, travel time controlling, client entertainment, customer visits and international conference attendance. All of them have positive effects on the preference for using BC.