1. Abdallah, T., & Vulcano, G. (2016). Demand estimation under the multinomial logit model from sales transaction data. Working Paper. Retrieved from https://www.researchgate.net/publication/303408073
2. Acuna-Agost, R., Thomas, E., & Lhéritier, A. (2021). Price elasticity estimation for deep learning based choice models: An application to air itinerary choices. Journal of Revenue and Pricing Management forthcoming.
3. Adams, W., & Vodicka, M. (1987). Short-term forecasting of passenger demand and some applications in Qantas. In AGIFORS 27th Annual Symposium Proceedings (pp. 240–257), Sydney.
4. Agrawal, D., & Dasgupta, J. (2019). Efficient network planning using heuristics and machine learning. Paris: AGIFORS Scheduling and Strategic Planning Study Group.
5. Al-Bazi, A., Uney, E., & Abu-Monshar, A. (2019). Developing an overbooking fuzzy-based mathematical optimization model for multi-leg flights. Transportation Research Procedia, 43, 165–177.