This article investigates structural changes throughout time. Air demand is heavily influenced by fare and frequency. The focus of this research is primarily on structural alterations connected to these two elements. The idea that fare sensitivity has grown and frequency sensitivity has (roughly) reduced is explored in particular. It is critical to investigate the stability of the structure of air travel demand. Demand elasticities with these variables, as well as coefficient ratios, can be utilized to depict structural changes over time. While no particular temporal trends for scheduled flight time and fare impacts have been discovered, no structural changes relating to other factors have been discovered. From 2009 and 2013, we conducted paired sample t-tests for the important operational and economic factors of air travel demand, and there was no statistically significant variation in the parameter estimates. The ratios of frequency of flight and airline fares change over time, and all ratios of airlines have identical patterns- they rise or drop concurrently because frequency coefficients are more stable than pricing coefficients. Furthermore, changes in fare elasticities follow patterns comparable to changes in fare-to-frequency coefficient ratios. These adjustments are thus mostly driven by increases in fare sensitivity. This research provides a framework for airlines to evaluate demand on domestic routes and place their services by constructing a service positioning matrix to guarantee commercial sustainability.
Published in | International Journal of Transportation Engineering and Technology (Volume 8, Issue 3) |
DOI | 10.11648/j.ijtet.20220803.11 |
Page(s) | 44-49 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2023. Published by Science Publishing Group |
Air Travel, Demand, Structural Changes, Elasticities, Fare and Frequency
[1] | Wensveen, J. G. (2012). Air transportation: a management perspective: Ashgate Publishing. |
[2] | In-vestopedia.com (2013) https://www.investopedia.com/about-us-5093223 |
[3] | Kiraci, K. (2020). The Factors Determining the Profitability of Low Cost Airlines. Romanian Statistical Review, 1, 41-53. |
[4] | Malone, T., Weill, P., Lai, R., D'Urso, V., Herman, G., Apel, T. G., & Woerner, S. (2006). Do some business models perform better than others? Working paper, MIT Sloan School of Management, MIT, Cambridge, MA. |
[5] | Easton, P. D., McAnally, M. L., Fairfield, P., Zhang, X., & Halsey, R. F. (2010). Financial statement analysis & valuation. (2nd Ed.). Westmont, IL: Cambridge Business Publishers. |
[6] | Collins, D. L., Román, F. J., & Chan, H. C. (2011). An empirical investigation of the relationship between economic sustainability and profitability persistence and firms' choice of a business model: Evidence from the U.S. airline industry. Journal of Management Accounting Research, 23 (1). |
[7] | Amaechi, C. O., Ibe, C. C., Ejem, E. A. and Okeudo, G. N. (2022a). Evaluating the Drivers of Airlines Profitability in Nigeria Domestic Network. Journal of Transportation Technologies, 12, 369-387. https://doi.org/10.4236/jtts.2022.123023 |
[8] | Potter, G. (2011). Discussion of an empirical investigation of the relationship between economic sustainability and profitability persistence and firms' choice of the business model: Evidence from the U.S. airline industry. Journal of Management Accounting Research, 23, 71-76. |
[9] | Flamholtz and Randle (2012). The causal relationship between GDP and domestic air passenger traffic in Brazil. Available from: https://www.researchgate.net/publication/254296251_The_causal_relationship_between_GDP_and_domestic_air_passenger_traffic_in_Brazil [accessed Mar 17 2022]. |
[10] | Doganis, R. (2010). Flying off Course: Airline Economics and Marketing, Fourth Edition: Routledge. New York. |
[11] | Kiraci, K. and Yasar, M. (2020). The Determinants of Airline Operational Performance: An Empirical Study on Major World Airlines. Sosyoekonomi, 28, 287-322. https://doi.org/10.17233/sosyoekonomi.2020.01.06 |
[12] | Marazzo, M., Scherre, R., & Fernandes, E. (2010). Air transport demand and economic growth in Brazil: A time series analysis. Transportation Research Part E: Logistics and Transportation Review, 46 (2), 261-269. |
[13] | Fernandes, Elton and Pacheco, Ricardo Rodrigues (2010). The causal relationship between GDP and domestic air passenger traffic in Brazil, Transportation Planning and Technology, 33: 7, 569 -581. |
[14] | Dharmawan, I. (2012). The Effect of Air Transport on Economic Development in Indonesia. PhD Dissertation, Erasmus University, Erasmus. |
[15] | Van De Vijver, E., Derudder, B., Witlox, F. (2014). Exploring causality in trade and air passenger travel relationships: The case of Asia-Pacific, 1980-2010. Journal of Transport Geography (34), 142-150. |
[16] | Brida Juan, Daniel Bukstein & Sandra Zapata-Aguirre, (2016). The dynamic relationship between air transport and economic growth in Italy: a time series analysis, International Journal of Aviation Management, 3, (1), 52-67. |
[17] | Anfofum, A. A., Saheed, S. Z., & Iluno, C. (2015). Air Transportation Development and Economic Growth in Nigeria. Journal of economics and sustainable development, 6, 1-11. |
[18] | Di Gravio, G.; Mancini, M.; Patriarca, R.; Costantino, F. (2015). The overall safety performance of the air traffic management system: Indicators and analysis. J. Air Transp. Manag., 44, 65–69. |
[19] | Amaechi, C. O., Ibe, C. C., Ejem, E. A. and Okeudo, G. N. (2022b). Empirical Study of Parameters of Airlines Sustainability in Nigerian Domestic Network. Journal of Transportation Technologies, 12, 357-368. https://doi.org/10.4236/jtts.2022.123022. |
[20] | Wiseman, Y. (2019). Israel Complementary International Airport. International Journal of Control and Automation, 12 (7), 1-10. http//dx.doi.org/10.33832/ijca.2019.12.7.0 |
[21] | Wiseman, Y. (2020). "Autonomous Vehicles", Encyclopedia of Information Science and Technology, Fifth Edition, 1 (1), 1-11. Available online at: https://u.cs.biu.ac.il/~wiseman/Autonomous-Vehicles-Encyclopedia.pdf. |
[22] | Bradshaw-Martin, H., & Easton, C. (2014). Autonomous or ‘driverless’ cars and disability: a legal and ethical analysis. European Journal of Current Legal Issues, 20 (3). |
APA Style
Ejem Ejem Agwu, Aikor Shirgba Timothy. (2023). Determination of Structural Changes of Domestic Air Travel Demand in Nigeria. International Journal of Transportation Engineering and Technology, 8(3), 44-49. https://doi.org/10.11648/j.ijtet.20220803.11
ACS Style
Ejem Ejem Agwu; Aikor Shirgba Timothy. Determination of Structural Changes of Domestic Air Travel Demand in Nigeria. Int. J. Transp. Eng. Technol. 2023, 8(3), 44-49. doi: 10.11648/j.ijtet.20220803.11
AMA Style
Ejem Ejem Agwu, Aikor Shirgba Timothy. Determination of Structural Changes of Domestic Air Travel Demand in Nigeria. Int J Transp Eng Technol. 2023;8(3):44-49. doi: 10.11648/j.ijtet.20220803.11
@article{10.11648/j.ijtet.20220803.11, author = {Ejem Ejem Agwu and Aikor Shirgba Timothy}, title = {Determination of Structural Changes of Domestic Air Travel Demand in Nigeria}, journal = {International Journal of Transportation Engineering and Technology}, volume = {8}, number = {3}, pages = {44-49}, doi = {10.11648/j.ijtet.20220803.11}, url = {https://doi.org/10.11648/j.ijtet.20220803.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijtet.20220803.11}, abstract = {This article investigates structural changes throughout time. Air demand is heavily influenced by fare and frequency. The focus of this research is primarily on structural alterations connected to these two elements. The idea that fare sensitivity has grown and frequency sensitivity has (roughly) reduced is explored in particular. It is critical to investigate the stability of the structure of air travel demand. Demand elasticities with these variables, as well as coefficient ratios, can be utilized to depict structural changes over time. While no particular temporal trends for scheduled flight time and fare impacts have been discovered, no structural changes relating to other factors have been discovered. From 2009 and 2013, we conducted paired sample t-tests for the important operational and economic factors of air travel demand, and there was no statistically significant variation in the parameter estimates. The ratios of frequency of flight and airline fares change over time, and all ratios of airlines have identical patterns- they rise or drop concurrently because frequency coefficients are more stable than pricing coefficients. Furthermore, changes in fare elasticities follow patterns comparable to changes in fare-to-frequency coefficient ratios. These adjustments are thus mostly driven by increases in fare sensitivity. This research provides a framework for airlines to evaluate demand on domestic routes and place their services by constructing a service positioning matrix to guarantee commercial sustainability.}, year = {2023} }
TY - JOUR T1 - Determination of Structural Changes of Domestic Air Travel Demand in Nigeria AU - Ejem Ejem Agwu AU - Aikor Shirgba Timothy Y1 - 2023/01/13 PY - 2023 N1 - https://doi.org/10.11648/j.ijtet.20220803.11 DO - 10.11648/j.ijtet.20220803.11 T2 - International Journal of Transportation Engineering and Technology JF - International Journal of Transportation Engineering and Technology JO - International Journal of Transportation Engineering and Technology SP - 44 EP - 49 PB - Science Publishing Group SN - 2575-1751 UR - https://doi.org/10.11648/j.ijtet.20220803.11 AB - This article investigates structural changes throughout time. Air demand is heavily influenced by fare and frequency. The focus of this research is primarily on structural alterations connected to these two elements. The idea that fare sensitivity has grown and frequency sensitivity has (roughly) reduced is explored in particular. It is critical to investigate the stability of the structure of air travel demand. Demand elasticities with these variables, as well as coefficient ratios, can be utilized to depict structural changes over time. While no particular temporal trends for scheduled flight time and fare impacts have been discovered, no structural changes relating to other factors have been discovered. From 2009 and 2013, we conducted paired sample t-tests for the important operational and economic factors of air travel demand, and there was no statistically significant variation in the parameter estimates. The ratios of frequency of flight and airline fares change over time, and all ratios of airlines have identical patterns- they rise or drop concurrently because frequency coefficients are more stable than pricing coefficients. Furthermore, changes in fare elasticities follow patterns comparable to changes in fare-to-frequency coefficient ratios. These adjustments are thus mostly driven by increases in fare sensitivity. This research provides a framework for airlines to evaluate demand on domestic routes and place their services by constructing a service positioning matrix to guarantee commercial sustainability. VL - 8 IS - 3 ER -