Incorporating continuous representation of preferences for flight departure times into stated itinerary choice modeling

Abstract The passenger volumes of cross-Strait air travel between Taiwan and China have grown rapidly, largely due to the gradual introduction of direct flights. This study captures passengers’ preferences for airlines and flight departure times in the Taiwan–China market. The model structures examined include the multinomial logit, nested logit, and mixed nested logit models. In particular, trigonometric functions are incorporated into choice modeling to identify passenger preferences regarding flight departure times. A stated preference survey was conducted at Taiwan Taoyuan International Airport. A mixed nested logit model, which captures substitution patterns among competitive alternatives as well as individual heterogeneity, outperforms the other models. The estimation results indicate high degrees of competition among airlines and flight-departure times, especially highly substitutable departure times within the same airline. The continuous departure-time specification, which uses a series of sine and cosine functions, adequately captured passenger preferences. From the qualitative aspect of airline services, a premium for service improvement is highest for cabin crew service, followed by onboard food and check-in service. Airlines can use these results to improve their service quality and adjust flight schedules.

[1]  Frank S. Koppelman,et al.  Schedule delay impacts on air-travel itinerary demand , 2008 .

[2]  Heesup Han,et al.  Role of airline food quality, price reasonableness, image, satisfaction, and attachment in building re-flying intention , 2019, International Journal of Hospitality Management.

[3]  J. Porta,et al.  The ergonomics of airplane seats: The problem with economy class , 2019, International Journal of Industrial Ergonomics.

[4]  Cees J. Gelderman,et al.  Choosing self-service technologies or interpersonal services—The impact of situational factors and technology-related attitudes , 2011 .

[5]  C. Wen,et al.  A latent class generalised nested logit model and its application to modelling carrier choice with market segmentation , 2013 .

[6]  Philip G. Gayle,et al.  How much do consumers really value air travel on-time performance, and to what extent are airlines motivated to improve their on-time performance? , 2018, Economics of Transportation.

[7]  Moshe Ben-Akiva,et al.  Risk Aversion to Short Connections in Airline Itinerary Choice , 2006 .

[8]  E. Marcucci,et al.  Dissecting preference heterogeneity in consumer stated choices , 2012 .

[9]  Concepción Román,et al.  Willingness to Pay for Airline Service Quality , 2008 .

[10]  Kriangkrai Arunotayanun,et al.  Taste heterogeneity and market segmentation in freight shippers’ mode choice behaviour , 2011 .

[11]  K. Train Discrete Choice Methods with Simulation , 2003 .

[12]  Majid Sarvi,et al.  Accommodating taste heterogeneity and desired substitution pattern in exit choices of pedestrian crowd evacuees using a mixed nested logit model , 2015 .

[13]  Matthew G. Karlaftis,et al.  Traveler perceptions and airline choice: A multivariate probit approach , 2015 .

[14]  Jin-Long Lu,et al.  Determinants of passengers’ choice of airline check-in services: A case study of American, Australian, Korean, and Taiwanese passengers , 2011 .

[15]  Stephane Hess,et al.  A joint model for vehicle type and fuel type choice: evidence from a cross-nested logit study , 2012 .

[16]  Frank S. Koppelman,et al.  Air carrier demand , 1995 .

[17]  C. Wen,et al.  Mixed Logit Analysis of International Airline Choice , 2009 .

[18]  Alberto A. Gaggero,et al.  Low-cost carrier competition and airline service quality in Europe , 2015 .

[19]  Yi Liu,et al.  Latent air travel preferences: Understanding the role of frequent flyer programs on itinerary choice , 2015 .

[20]  Thomas F Rossi,et al.  Modeling Time-of-Day Choice in Context of Tour- and Activity-Based Models , 2006 .

[21]  John M. Rose,et al.  Applied Choice Analysis , 2015 .

[22]  Munshi Masudul Haq,et al.  Scale heterogeneity in discrete choice experiment: An application of generalized mixed logit model in air travel choice , 2018, Economics Letters.

[23]  Ehsaneh N. M. Nameghi,et al.  The measurement scale for airline hospitality: Cabin crew's performance perspective , 2013 .

[24]  M. Kuwahara,et al.  DISCRETE CHOICE MODELING OF COMBINED MODE AND DEPARTURE TIME , 2008 .

[25]  Michael Schyns,et al.  Modeling competition among airline itineraries , 2018, Transportation Research Part A: Policy and Practice.

[26]  Joachim Grammig,et al.  Discrete choice modelling in airline network management , 2005 .

[27]  Frank S. Koppelman,et al.  Modeling the competition among air-travel itinerary shares: GEV model development , 2005 .

[28]  K. Balcombe,et al.  Consumer willingness to pay for in-flight service and comfort levels: A choice experiment , 2009 .

[29]  Chieh-Hua Wen,et al.  Latent class models of international air carrier choice , 2010 .

[30]  Frank S. Koppelman,et al.  Modeling the Proximate Covariance Property of Air Travel Itineraries Along the Time-of-Day Dimension , 2005 .

[31]  Joan L. Walker,et al.  Latent temporal preferences: An application to airline travel , 2011 .

[32]  John M. Rose,et al.  Recovering costs through price and service differentiation: accounting for exogenous information on attribute processing strategies in airline choice , 2005 .

[33]  Juan de Dios Ortúzar,et al.  Subjective valuation of the transit transfer experience: The case of Santiago de Chile , 2013 .

[34]  John W. Polak,et al.  Capturing Correlation and Taste Heterogeneity with Mixed GEV Models , 2005 .

[35]  Concepción Román,et al.  Analyzing the effect of preference heterogeneity on willingness to pay for improving service quality in an airline choice context , 2008 .

[36]  Emmanuel Carrier,et al.  Modeling the choice of an airline itinerary and fare product using booking and seat availability data , 2008 .

[37]  Iwan von Wartburg,et al.  1 Customer Segmentation Revisited : The Case of the Airline Industry , 2020 .

[38]  Janet S. Netz,et al.  Why do all the flights leave at 8 am?: Competition and departure-time differentiation in airline markets , 1999 .

[39]  Analysis of Iranian passengers' behavior in choosing type of carrier in international air travel to East Asia , 2016 .

[40]  Fariba Alamdari,et al.  Airline in-flight entertainment: the passengers’ perspective , 1999 .

[41]  Cheng-Lung Wu,et al.  Modelling air carrier choices with a Segment Specific Cross Nested Logit model , 2013 .

[42]  Jordan J. Louviere,et al.  An exploratory analysis of the effect of numbers of choice sets in designed choice experiments: an airline choice application , 2001 .