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New Methods to Forecast Passenger Demand. Reference List PDF Print E-mail

REFERENCES

 

BaFail, A. O. (2004). Applying data mining techniques to forecast number of airline passengers in Saudi Arabia (domestic and international travels).  Unpublished manuscript, King Abdul Aziz University, Jeddah, Saudi Arabia.

 

Baldanza, B. (2002).  Measuring airline profitability.  In D. Jenkins (Ed.), Handbook of Airline Economics (pp. 61-71). New York, NY:  McGraw-Hill.

 

Bamberger, G. E., & Carlton, D. W. (2002), Airline networks and fares.  In D. Jenkins (Ed), Handbook of Airline Economics (pp. 269-288).  New York, NY:  McGraw-Hill.

 

Berdy, P. (2002). Developing effective route networks.  In D. Jenkins (Ed.), Handbook of Airline Economics (pp. 119-139). New York, NY:  McGraw-Hill.

 

Bhat, V. N. (1995).  A multivariate analysis of airline flight delays.  International Journal of Quality & Reliability Management, 12, 54-59.

 

Brueckner, J. K., & Zhang, Y. (2001).  A model of scheduling in airline networks.  How  a hub-and-spoke system affects flight frequency, fares and welfare.  Journal of Transport Economics and Policy, 35, 195-222.

 

Carlsson, F.  (2002).  Price and frequency choice under monopoly and competition in aviation markets.  Unpublished manuscript, Götenborg University.

 

Cheung, J. (2004).  Airline competition and operating strategy in multi-airport systems.  Unpublished manuscript, Massachusetts Institute of Technology.

 

Dixit, A., & Chintagunta, P. K. (2003).  An empirical investigation of market exit by discount airlines.  Unpublished manuscript.

 

Fish, K. E. & Segall, R. S. (2004).  A visual analysis of learning rule effects and variable importance for neural networks in data mining operations.  Kybernetes, 33, 1127-1142.

 

Frainey, W. M. (2002).  Network profitability analysis.  In D. Jenkins (Ed.), Handbook of Airline Economics (pp. 157-168).  New York, NY:  McGraw-Hill.

 

 

Heuglin, C.,  & Vannotti, F. (2001). Data mining techniques to improve forecast accuracy in airline business.  Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining.  San Francisco, CA, 438-442.

 

Law, R. (1998).  Room occupancy rate forecasting: a neural network approach.  International Journal of Contemporary Hospitality Management, 10, 234-239.

 

Law, R., & Au, N. (1999). A neural network model to forecast Japanese demand for travel to Hong Kong. Tourism Management, 20, 89-97.

 

Liu, Q.  (2003). The effect of market structure on price dispersion:  an analysis of the U.S. airline industry.  Unpublished manuscript, State University of New York at Stony Brook.

 

Melconian, T., & Clarke, J. P. C. (2001). Effects of increased nonstop routing on airline cost and profit. Unpublished manuscript, Massachusetts Institute of Technology.

 

Richard, O.  (2002).  Flight frequency and mergers in airline markets.  Unpublished manuscript, University of Rochester.

 

Van Wezel, M. C., & Baets, W. (1995).  Predicting market responses with a neural network: the case of fast moving consumer goods.  Marketing Intelligence and Planning, 13, 23-30.

  

APPENDIX A

 

BIBLIOGRAPHY

 

Airline Ontime Performance Data 1990-2005 [Data file].  Washington, DC:  Bureau of Transportation Statistics.

 

Airline Origin and Destination Survey (DB1B) 1990-2005 [Data file].Washington, DC: Bureau of Transportation Statistics.

 

Button, K. (2002). Airline Network Economics.  In D. Jenkins (Ed.), Handbook of Airline Operations (pp. 27-33).  New York, NY:  McGraw-Hill.

 

Driver, J. C. (1999). Developments in airline marketing practice.  Journal of

Marketing Practice:  Applied Marketing Science, 5, 134-150.

 

Yu, J. (2003).  A nested logit approach to airline operations decision process.  Unpublished manuscript, East Carolina University.

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