Habit Persistence in Air Passenger Traffic Destined for Florida

At the core of travel demand theory is separating short- and long-term responses to events and determining how quickly potential travelers respond, if at all, to current events. Using habit persistence models applied to air travel to Florida, air travel demand models are estimated that measure habit persistence while accounting for economic and noneconomic travel demand variables. Along with the traditional economic demand drivers, the models account for weather, wildfires, and adjustments to post-9/11. Elasticities are shown and then simulations are used to fully illustrate the impacts of changing ticket prices, incomes, seasonality, Florida storms, and the recovery from 9/11. The degree of habit persistence is measured and then the short- and long-run adjustments in air traffic destined for Florida are shown.

[1]  Kyle S. Smith,et al.  Habit formation , 2016, Dialogues in clinical neuroscience.

[2]  Μαρία Βουνάτσου,et al.  Social impacts of tourism , 2015 .

[3]  B. Thapa,et al.  Wildfires and tourist behaviors in Florida , 2013 .

[4]  Susanne Becken,et al.  Measuring the Effect of Weather on Tourism , 2013 .

[5]  A. Reichel,et al.  Vacationing in a Terror-Stricken Destination , 2013 .

[6]  Haiyan Song,et al.  Tourism Demand Modelling and Forecasting , 2012 .

[7]  Meehee Cho,et al.  The Impact of Gasoline Prices upon U.S. Pleasure Visitors Traveling to Florida by Auto and their Spending Behavior during Periods of Economic Growth, Recession and Recovery , 2012 .

[8]  S. Becken,et al.  Demand elasticity estimates for New Zealand tourism , 2011 .

[9]  Luis A. Gil-Alana,et al.  Persistence in the Short- and Long-Term Tourist Arrivals to Australia , 2011 .

[10]  B. Mckercher,et al.  Are Tourists or Markets Destination Loyal? , 2011 .

[11]  J. Deskins,et al.  Are State Expenditures to Promote Tourism Effective? , 2011 .

[12]  Haiyan Song,et al.  Air Travel Demand Studies: A Review , 2010 .

[13]  Marcos Álvarez-Díaz,et al.  Forecasting British Tourist Arrivals in the Balearic Islands Using Meteorological Variables , 2010 .

[14]  Gang Li,et al.  Tourism Demand Modelling and Forecasting: How Should Demand Be Measured? , 2010 .

[15]  C. Morley Dynamics in the Specification of Tourism Demand Models , 2009 .

[16]  Rob Law,et al.  Analyzing and Forecasting Tourism Demand: A Rough Sets Approach , 2008 .

[17]  Thomas Iverson,et al.  The Economics of Tourism Destinations , 2006 .

[18]  James Mak,et al.  The Impact of 9/11 and Other Terrible Global Events on Tourism in the United States and Hawaii , 2006 .

[19]  A. Pizam,et al.  Tourism, security and safety: from theory to practice. , 2006 .

[20]  Bernardina Algieri An Econometric Estimation of the Demand for Tourism: The Case of Russia , 2006 .

[21]  Maria M. De Mello,et al.  Testing Alternative Dynamic Systems for Modelling Tourism Demand , 2005 .

[22]  Haiyan Song,et al.  Recent Developments in Econometric Modeling and Forecasting , 2005 .

[23]  J. Rosselló,et al.  Modeling Tourism Demand Dynamics , 2005 .

[24]  Daniel H. Simon,et al.  The Impact of Post‐9/11 Airport Security Measures on the Demand for Air Travel , 2005, The Journal of Law and Economics.

[25]  Gang Li,et al.  Modeling Tourism Demand: A Dynamic Linear AIDS Approach , 2004 .

[26]  B. Sloboda Assessing the Effects of Terrorism on Tourism by Use of Time Series Methods , 2003 .

[27]  Christopher T. Lowenkamp,et al.  Conflict Theory, Economic Conditions, and Homicide , 2002 .

[28]  Peter Nijkamp,et al.  Price Elasticities of Demand for Passenger Air Travel , 2001 .

[29]  Muzaffer Uysal,et al.  Artificial Neural Networks versus Multiple Regression in Tourism Demand Analysis , 1999 .

[30]  C. Lim,et al.  A Meta-Analytic Review of International Tourism Demand , 1999 .

[31]  R. Pollak,et al.  Demand System Specification and Estimation , 1995 .

[32]  C. Witt,et al.  Forecasting tourism demand: A review of empirical research , 1995 .

[33]  Greg M. Allenby,et al.  Modeling Household Purchase Behavior with Logistic Normal Regression , 1994 .

[34]  Geoffrey I. Crouch,et al.  Demand Elasticities for Short-Haul versus Long-Haul Tourism , 1994 .

[35]  Wiktor L. Adamowicz,et al.  HABIT FORMATION AND VARIETY SEEKING IN A DISCRETE CHOICE MODEL OF RECREATION DEMAND , 1994 .

[36]  Wojciech W. Charemza,et al.  New Directions in Econometric Practice: General to Specific Modelling, Cointegration and Vector Autoregression , 1991 .

[37]  M. Nerlove Lags in Economic Behavior , 1972 .

[38]  Robert A. Pollak,et al.  Habit Formation and Dynamic Demand Functions , 1970, Journal of Political Economy.

[39]  Marc Nerlove,et al.  Distributed lags and Estimation of Long-Run Supply and Demand Elasticities: Theoretical Considerations , 1958 .

[40]  N. Vanhove,et al.  Forecasting Tourism Demand , 2011 .

[41]  Mark Hansen,et al.  Going South? , 2005 .

[42]  H. Aiyan,et al.  Modelling and forecasting the demand for Thai tourism , 2005 .

[43]  Markus Franke,et al.  COMPETITION BETWEEN NETWORK CARRIERS AND LOW-COST CARRIERS - RETREAT BATTLE OR BREAKTHROUGH TO A NEW LEVEL OF EFFICIENCY? , 2004 .

[44]  P. Schofield,et al.  First-timer versus repeat visitor satisfaction: the case of Orlando, Florida. , 2003 .

[45]  Renwick C. J. Dobson,et al.  Modelling and forecasting , 1999 .

[46]  R. Ward,et al.  HABIT FORMATION AND DEMAND SYSTEM ESTIMATES FOR FLUID MILK IN SPAIN , 1998 .

[47]  Geoffrey I. Crouch,et al.  A META-ANALYSIS OF TOURISM DEMAND , 1995 .

[48]  Ady Milman,et al.  Social impacts of tourism on Central Florida. , 1988 .