Empirical Analysis of the Impact of Security Perception on Intercity Mode Choice: A Panel Rank-Ordered Mixed-Logit Model

In the aftermath of the terrorist attacks of September 11,2001, individuals have become increasingly conscious of travel safety and security issues. Hence, in addition to travel times and costs, perceptions about security levels can be an important factor influencing intercity travel decisions. In the past few years, the Transportation Security Administration (TSA) has implemented several procedures, including rigorous screening, to improve airline security. However, these procedures have increased airline travel times. An empirical analysis is presented of individuals' mode choice for intercity business trips incorporating trade-offs between improved security levels and increased travel times. Stated-preference data collected in New York City were used to develop a panel rank-ordered mixed logit model. It was found that individuals who held positive impressions about the security measures were more likely to fly but the utility of air mode decreased with increasing inspection and boarding time. The impli...

[1]  John Douglas Hunt,et al.  Stated Preference Analysis of Sensitivities to Elements of Transportation and Urban Form , 2001 .

[2]  Chandra R. Bhat,et al.  Accommodating variations in responsiveness to level-of-service measures in travel mode choice modeling , 1998 .

[3]  A. Daly,et al.  Use of the logit scaling approach to test for rank-order and fatigue effects in stated preference data , 1994 .

[4]  Chandra R. Bhat,et al.  A UNIFIED MIXED LOGIT FRAMEWORK FOR MODELING REVEALED AND STATED PREFERENCES: FORMULATION AND APPLICATION TO CONGESTION PRICING ANALYSIS IN THE SAN FRANCISCO BAY AREA , 2002 .

[5]  Kenneth E. Train,et al.  Discrete Choice Methods with Simulation , 2016 .

[6]  Clifford Winston,et al.  Econometric Issues in Estimating Consumer Preferences from Stated Preference Data: A Case Study of the Value of Automobile Travel Time , 2001, Review of Economics and Statistics.

[7]  K. Chon,et al.  Accommodating Heterogeneity and Heteroscedasticity in Intercity Travel Mode Choice Model: Formulation and Application to HoNam, South Korea, High-Speed Rail Demand Analysis , 2004 .

[8]  J. Holguín-Veras,et al.  IMPACTS OF EXTREME EVENTS ON INTERCITY PASSENGER TRAVEL BEHAVIOR: THE SEPTEMBER 11 TH EXPERIENCE , 2003 .

[9]  Notis Pagiavlas,et al.  US Commercial airline performance after September 11, 2001: decomposing the effect of the terrorist attack from macroeconomic influences , 2004 .

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

[11]  C. Bhat.  A heteroscedastic extreme value model of intercity travel mode choice , 1995 .

[12]  Rune Elvik,et al.  The barely revealed preference behind road investment priorities , 1997 .

[13]  Jerry A. Hausman,et al.  Assessing the potential demand for electric cars , 1981 .

[14]  F. Koppelman,et al.  APPLICATION AND INTERPRETATION OF NESTED LOGIT MODELS OF INTERCITY MODE CHOICE , 1993 .

[15]  Moshe Ben-Akiva,et al.  Analysis of the reliability of preference ranking data , 1991 .

[16]  Martin Dresner,et al.  The impact of the September 11th security fee and passenger wait time on traffic diversion and highway fatalities , 2004 .

[17]  Ram M. Pendyala,et al.  Analysis of the Role of Traveler Attitudes and Perceptions in Explaining Mode-Choice Behavior , 1999 .

[18]  C. Bhat.  Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model , 2001 .

[19]  James Odeck,et al.  Ranking of regional road investment in Norway , 1996 .

[20]  G. Gigerenzer.  Dread Risk, September 11, and Fatal Traffic Accidents , 2004, Psychological science.

[21]  Randall G. Chapaaan,et al.  Exploiting Rank Ordered Choice Set Data within the Stochastic Utility Model , 1982 .

[22]  D. Hensher.  Stated preference analysis of travel choices: the state of practice , 1994 .

[23]  David F. Layton,et al.  Random Coefficient Models for Stated Preference Surveys , 2000 .

[24]  Jerry A. Hausman and Paul A. Ruud.,et al.  Specifying and Testing Econometric Models for Rank-ordered Data with an Application to the Demand for Mobile and Portable Telephones , 1986 .

[25]  F. Carlsson.  The demand for intercity public transport: the case of business passengers , 2003 .

[26]  C. Bhat.  Covariance heterogeneity in nested logit models: Econometric structure and application to intercity travel , 1997 .